Attack on titan volume 34 pdf


2017.04.01 08:31 hibernating_brain TheWallStreet - MONEY NEVER SLEEPS

Welcome to /thewallstreet. This subreddit is intended for open discussions on all subjects related to trading on Stocks, Options, Futures, Currencies and Commodities.

2018.11.28 18:11 Fuunnylevi Levi Cult - A cult for Levi of Attack on Titan

This sub is made to show your love and appreciation for Levi of Attack on Titan - Shingeki no Kyojin, humanity's strongest soldier.

2012.05.29 21:16 twofiftyeight Pokémon RNG Manipulation

RNG abuse, also referred to as RNG manipulation, is a procedure that manipulates the pseudo-random number generator in the main series games to obtain a desired Pokemon. It is commonly used to obtain shiny Pokemon or Pokemon with high Individual Values or IVs.

2023.06.01 14:18 Ochib Amazon Ring IoT epic fail

"Not only could every Ring employee and Ukraine-based third-party contractor access every customer’s videos (all of which were stored unencrypted on Ring’s network), but they could also readily download any customer’s videos and then view, share, or disclose those videos at will"
"Although an engineer working on Ring’s floodlight camera might need access to some video data from outdoor devices, that engineer had unrestricted access to footage of the inside of customers’ bedrooms.”

“Several women lying in bed heard hackers curse at them,” and “several children were the objects of hackers’ racist slurs.”
The complaint details even nastier attacks – skip pages 13 and 14 to avoid references to incidents of a sexual nature.
submitted by Ochib to sysadmin [link] [comments]

2023.06.01 14:16 Vladimirapollo Attack on titan edit. Seems like some old folk music

Attack on titan edit. Seems like some old folk music submitted by Vladimirapollo to NameThatSong [link] [comments]

2023.06.01 14:12 sonofabutch No game today, so let's remember a forgotten Yankee: Jackie Jensen, "The Golden Boy"

Jackie Jensen, "The Golden Boy", was a superstar athlete in the 1940s who seemed destined for greatness as the heir to Joe DiMaggio... only to be supplanted by a different golden boy, the great Mickey Mantle.
Jensen would eventually live up to the hype, but with the Red Sox -- but his career prematurely because, as baseball expanded to the west coast, his fear of flying made road games unbearable!
The Yankees between 1947 and 1964 were utterly dominant, winning 15 pennants and 10 World Series. And it wasn't just the major league team that was successful. The Yankees of this era were loaded up and down the system, from Rookie ball to their two Triple-A teams!
With such a loaded major league roster, the Yankees had many talented players stuck either on the end of the bench or in the minors who would eventually find an opportunity with other teams, including Bob Cerv, Vic Power, Gus Triandos, Lew Burdette, Jerry Lumpe, Bob Porterfield, and Bob Keegan, who would all be All-Stars with other teams. Clint Courtney would be the 1952 A.L. Rookie of the Year runner-up after the Yankees traded him to the Browns, and Bill Virdon was the 1955 N.L. Rookie of the Year with the Cardinals (and then Yankee manager from 1974 to 1975!).
But the most talented player who just couldn't find the playing time in New York was Jack Eugene Jensen, born March 9, 1927, in San Francisco. His parents divorced when he was 5, and he grew up poor, his mother working six days a week, 12 hours a day. Jensen said the family moved 16 times between kindergarten and eighth grade -- "every time the rent came due."
After serving in the U.S. Navy during World War II, Jensen went to the University of California in 1946 on the G.I. Bill. There he became one of the most famous college players in the country, leading Cal to the Rose Bowl. In 1947, he was the starting fullback as well as the team's top defensive back, and in 1948, he rushed for 1,000 yards and was an All-American.
He also was a tremendous two-way baseball player, pitching and hitting for the Golden Bears in 1947 as the won the very first College World Series, beating a Yale team that had George H.W. Bush playing first base. In 1949, he was an All-American in baseball, too.
His blond hair, good looks, and athletic accomplishments earned him the nickname "The Golden Boy."
Halfway through his junior year, Jensen left Berkeley to turn pro. Jensen would later say he couldn't risk playing a career-ending injury playing for free while teams -- baseball and football -- were trying to sign him to big-money contracts.
"There was a money tree growing in my backyard. Why shouldn't I pluck off the dollars when I wanted to?"
Jensen considered a number of offers, including from the Yankees, before signing a three-year, $75,000 contract with the Oakland Oaks of the Pacific Coast League. Jensen said he thought he'd face better competition in the Pacific Coast League, the top minor league of the era, than he would at the bottom of the Yankee farm system. He was right about it being more of a challenge -- he hit an unimpressive .261/.317/.394 in 510 plate appearances with the Oaks.
At the end of the year, the Oaks sold his contract (and that of Billy Martin, another Northern California kid) to the Yankees.
That same year, Jensen married his high school sweetheart, Zoe Ann Olsen, an Olympic diver. (By age 18, she had won 14 national diving championships and a silver medal in the 1948 Olympics.) "Together they looked like a Nordic god and goddess," Sports Illustrated reported. Nicknamed "the sweethearts of sports," they were the Dansby Swanson and Mallory Pugh of their era. More than 1,000 people attended their wedding.
Jensen would start the 1950 season not in the minors but in the Bronx. He joined the Yankees in a time of flux. They though they'd won the 1949 World Series, the Yankees knew they had to make some changes, with 35-year-old Joe DiMaggio nearing the end of his career. And their heir apparent was not Mickey Mantle -- at the time an 18-year-old shortstop playing in the Class C league, the equivalent of A-ball today -- but the 23-year-old Jensen.
But Jensen disappointed, hitting just .171/.247/.300 in 70 at-bats, and only starting in 13 games. Watching from the bench most of the season, Jensen would later lament the lost year of development, saying he'd have been better off playing every day in the Pacific Coast League.
The Yankees won the pennant for a second straight year, and in the World Series he once again was left on the bench. His only action was as a pinch runner in Game 3 as the Yankees swept the Phillies. That "Moonlight Graham" appearance would be his only taste of the post-season in an 11-year career.
The following year would be DiMaggio's last, and Mantle's first. Jensen began the year as the Yankees' starting left fielder and proved he belonged, hitting .296/.371/.509 through the end of July... and then, shockingly, was demoted to Triple-A and replaced with previously forgotten Yankee Bob Cerv.
I can see why they called up Cerv -- the University of Nebraska stand-out was tearing up Triple-A, leading the American Association in batting average (.349), home runs (26), triples (21), RBIs (101), and total bases (261) -- but why demote Jensen, who had a 140 OPS+ in the majors? Maybe the Yankees felt the brash 23-year-old needed to be taken down a peg. In any event, Cerv hit just .214/.333/.250 in August and was sent back to Triple-A, but Jensen also was left down there. He hit .263/.344/.469 and was recalled after the Triple-A season ended, only getting into three games (he went 3-for-9).
Mantle, too, had started the season with the Yankees, and after hitting .260/.341/.423 through the middle of July, was sent down to Triple-A. But he hit .361/.445/.651 in 166 at-bats, and unlike Jensen was back in the bigs by August 24. He would play pretty much every game the rest of the season, hitting .284/.370/.495 in 95 at-bats.
The torch had clearly been passed -- Jensen was no longer the heir apparent to DiMaggio. In the World Series that year, Mantle was the starting right fielder, and Jensen wasn't even on the post-season roster.
Jensen was so disappointed with how the Yankees had treated him in 1951 that he talked to the San Francisco 49ers about switching to pro football, but ultimately decided to stick with baseball.
Never shy about what he said to reporters, Jensen told The Sporting News on October 24, 1951:
"I felt so badly about the treatment that I received from the Yankees that, although I was in New York at the end of the season, I didn't feel like sticking around to even watch the club play in any of the World's Series games."
"I do not feel the Yankees were justified in sending me to the minor leagues. When I was shipped to Kansas City, I was doing as good a job as any Yankee outfielder and better than some of them. I was hitting .296, which was ten points better than Hank Bauer and 30 points better than Joe DiMaggio, Gene Woodling and Mickey Mantle. Yet Casey Stengel didn't give me the chance I felt I deserved."
Despite blasting his manager in the press, Jensen was still the property of the Yankees. That off-season, teams were circling, hoping to pry away the talented but disgruntled outfielder. There were newspaper reports of offers from the St. Louis Browns, the Detroit Tigers, the Philadelphia Athletics, the Washington Senators, the Cleveland Indians, and the Boston Red Sox -- with one rumor being Ted Williams to the Bronx in exchange for Jensen and several other players. (A Red Sox scout called the rumored deal "a lot of hogwash.")
Sportswriters spent the off-season speculating whether DiMaggio would retire, and if he did, whether Jensen or Mantle would take over as the center fielder, as there were still concerns that Mantle, who had hurt his knee in the 1951 World Series, wouldn't be fully recovered by the start of the season.
On Opening Day, April 16, 1952, it was Jackie Jensen in center and Mickey Mantle in right. Jensen went 0-for-5 with a GIDP; Mantle, 3-for-4 with a double, a walk, and a stolen base! Seven games into the season, Jensen was 2-for-17 (.118) and found himself on the bench. He'd never play for the Yankees again. On May 3, the Golden Boy was traded to the Washington Senators along with Spec Shea, Jerry Snyder, and Archie Wilson in exchange for Irv Noren and Tom Upton.
In two years with the Senators, Jensen hit an impressive .276/.359/.407 (112 OPS+), but the team was terrible, and Jensen wasn't happy. Still just 26 years old, he later said he had almost quit after the 1953 season... particularly after a harrowing flight to Japan for a series of exhibition games with a squad of All-Stars that included Yankees Yogi Berra, Eddie Lopat, and Billy Martin. That experience gave Jensen a lifelong fear of flying, a phobia that became so intense eventually he could only fly with the help of sleeping pills... and a hypnotist!
He might have quit if not for the trade on December 9, 1953, that sent him to the Boston Red Sox for pitcher Mickey McDermott and outfielder Tom Umphlett. He was homesick, he hated flying, and he now had two little kids at home. Red Sox general manager Joe Cronin convinced Jensen to come to the Red Sox, telling him that Fenway Park was tailor made for his swing. Cronin was right: Jensen was a career .279/.369/.460 hitter, but .298/.400/.514 at Fenway.
It was in Boston that Jensen finally lived up to the hype, becoming a two-time All-Star and winning the A.L. MVP Award in 1958 and a Gold Glove in 1959. During his seven seasons in Boston, he hit .282/.374/.478 in 4,519 plate appearances. In his MVP season, Jensen hit .286/.396/.535 (148 OPS+) with 31 doubles, 35 home runs, and a league-leading 122 RBIs. During his peak with the Red Sox, 1954 to 1959, Jensen's average season was .285/.378/.490 (127 OPS+) with 28 doubles, 26 home runs, 111 RBIs, 14 stolen bases, and 3.6 bWAR. During those six seasons, no one in the American League -- not Mickey Mantle, not Ted Williams, not Al Kaline -- had more runs batted in than Jackie Jensen.
Of course, Mantle was the far better player -- even in Jensen's MVP season, Mantle had more runs, hits, home runs, walks, and a 188 OPS+ -- but Jensen's 127 OPS+ between 1954 and 1959 would have been an upgrade over the aging Hank Bauer's 110 OPS+ in right or the left field merry-go-round of Norm Siebern (113 OPS+), Irv Noren (107 OPS+), Enos Slaughter (103 OPS+), and previously forgotten Yankee Hector Lopez (101 OPS+). Casey Stengel would later say the Jensen trade was the worst one the Yankees had made while he was manager.
Despite his success, Jensen was sometimes booed by the Boston fans, just as they sometimes booed Ted Williams. There even was an article in Sport magazine, "What Do They Want From Jackie Jensen?", taking Red Sox fans to task for their unreasonably high demands from the Golden Boy. In 1956, in a game at Fenway Park against the Yankees, the hometown fans were razzing Jensen so much that teammates had to restrain him from going into the stands after a fan. Later that same game, Williams misplayed a wind-blown fly ball from Mantle, and the fans booed lustily. The very next play, Williams made a leaping catch at the scoreboard to rob Yogi Berra of a double. But Williams, still furious, spit into the crowd. He was later fined $5,000.
And Jackie was unhappy to be away from home. He and Zoe Ann had bought a house near Lake Tahoe, where they could both ski and golf year-round, as well as hit the casinos. They also had a home in Oakland, and a restaurant there, and each year Jensen hosted a pro-am golf tournament. But the marriage was struggling. Zoe Ann, once nationally known for her Olympic exploits, was frustrated to be a stay-at-home mom in the shadow of her famous husband, and Jackie became angry if she engaged in her favorite outdoor hobbies, suspecting there were men around.
Jensen's fear of flying also had become even more intense. Sometimes he was so drugged up that he had to be carried on and off the plane, fueling rumors that he was a drunk. Other times he took trains or even drove while his teammates flew.
Once again Jensen was talking about retirement, and in Spring Training 1957, the Red Sox allowed him to train with the San Francisco Seals, Boston's Triple-A team, rather than having to go to Florida. But he was still miserable. That year, he told Sports Illustrated:
“In baseball you get to the point where you don’t think you have a family. It just looks like I’m not built for this life like some ballplayers. You are always away from home and you’re lonesome, and as soon as I can, I intend to get out.”
The 32-year-old Jensen announced his retirement after the 1959 season, and he spent 1960 home with Zoe Ann and their children and running his restaurant. But he returned in 1961. After hitting just .130 in April, Jensen took a train from Detroit home to Reno, determined to quit once again. After a week away, he rejoined the team and had six hits in his next 10 at-bats. By the end of the season he was at .263/.350/.392, and this time he quit for good.
After leaving baseball, Jensen invested in real estate and a golf course, but lost most of his money. He then got a job working for a Lake Tahoe casino, was a national spokesman for Camel cigarettes, Wonder Bread, and Gillette, and even tried selling cars. Ironically, Jackie found himself on the road almost as much as he had been as a ballplayer. In 1963, he and Zoe Ann divorced, remarried, and then divorced again.
In 1967, Jensen became a TV sportscaster, married his producer Katharine Cortesi, and eventually teamed up with Keith Jackson calling college football games for ABC and a college baseball coach, first at the University of Nevada-Reno and then at the University of California, and he managed the Red Sox team in the New York Penn League in 1970. In 1977, Jackie and Katharine moved to Virginia and started a Christmas tree farm while he coached baseball at a military academy. About five years later, on July 14, 1982, he died of a heart attack at age 55.
You Don't Know Jack(ie):
In 1958, Jensen told Sports Illustrated that the biggest thrill of his career wasn't being an All-American or an All-Star, it wasn't winning an MVP or a World Series. "The biggest is having played in the same outfield with both DiMaggio and Williams."
submitted by sonofabutch to NYYankees [link] [comments]

2023.06.01 14:05 rsl12 Participate in Piano Jam, the friendly monthly challenge for everybody! [June 2023 #118]

Piano Jam is a non-competitive piano challenge for beginners, professionals, classical, jazz or pop pianists and everyone in between! Pick a piece from the list below, learn it, and post a performance using the Piano Jam flair before the end of the month. Perfection is not expected!
Thanks to u/FrequentNight2 for selecting the classical and 3-month pieces. The next piano jam will be posted on July 1st.
Please suggest pieces for future piano jams in our suggestion box.


Please share a recording of YOU playing one of the pieces below in a post to /piano at any time during the month. Use the "Piano Jam" flair or type "[Piano Jam]" somewhere in the submission title.


The ABRSM grade estimate is provided in brackets.


If you're not comfortable with lead sheets, you can use any arrangement you can find. Also, feel free to use a backing track.

Contemporary / Other

If you don't like the arrangement that is linked, feel free to find/create another.

3-Month Classical Pieces (April through June)

The "due date" for these pieces is the end of June. The ABRSM grade estimate is provided in brackets.

Submissions from last month's Piano Jam

To listen to the newest submissions, search for the Piano Jam flair.
I hope we didn't miss anyone - if so, please let me know!
submitted by rsl12 to piano [link] [comments]

2023.06.01 13:37 Extension_Ad_9546 Intercontinental Ballistic Missile Market in Global to peak demand by 2029 at a cagr of 5.1%

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submitted by Extension_Ad_9546 to u/Extension_Ad_9546 [link] [comments]

2023.06.01 13:34 GlobalCitizen12345 Khrushchev as American Subservient: Enver Hoxha

EH in his "Reflections on China (Volume I)" gives us a small historical narrative which exposes Khrushchev's mind set up. He had "defended" China against US on American-Chiang Kai-shek attack on China, in his dramatic manner. This he was to use in next USSR-China Congress, where the Khrushchevites were to demand "concessions" for having defended 'brother' country against imperialism and that CPSU was a Marxist-Leninist party.
But what he did to calm down the Americans (As well as the Yugoslavians; Tito and gang), on way to full restoration of capitalism in USSR?
"In order to diminish the bad effects which this declaration of his might have had among the Americans, Khrushchev the lackey yesterday attended a celebration at the American Embassy in Moscow, even at a time when the ambassador was absent. The President of the United States of America has never attended a celebration at the Soviet Embassy in Washington. This dirty scoundrel, Khrushchev, goes there every year." 05 Jul, 1962 in the above quoted book.
This contemporary fact gives us not only the mind sets of the revisionists but even how they worked to befool the masses, party members, other communist parties of different countries, and yet to continue their revisionist agenda. EH not only continued supporting CPSU and Stalin but even DOP in his own country as a pre-requisit need for socialist building.
submitted by GlobalCitizen12345 to EnverHoxha [link] [comments]

2023.06.01 13:25 megahui1 List of Chess Book Awards

Information about chess book awards seems to be rather sparse on the Internet. Let me know if something is missing and I will update it:
ACP Award
Year Author Title
2012 Nunn Understanding Chess Middlegames
2012 Dvoretsky Tragicomedy in the Endgame
2013 Aagaard GM Prep: Calculation
2014 J-Polgar From GM to Top Ten
//////////////////////////////////////////// Book of the Year
Year Author Title
2020 Donaldson Bobby Fischer and his World
2021 Short Winning
2022 Ramesh RB Improve your Chess Calculation
The Guardian: Chess Book of the Year
Year Author Title
2007 Karolyi/Aplin Endgame Virtuoso Anatoly Karpov
2008 Kasparov Kasparov vs Karpov 1975-1985
2009 Bronstein The Sorcerer’s Apprentice
2010 Aagaard The Attacking Manual
2011 Silman How to Reassess Your Chess
English Chess Federation
Year Author Title
2002 Müller Fundamental Chess Endings
2003 Kasparov My Great Predecessors, Part 1
2004 Benko Pal Benko: My Life, Games and Compositions
2005 Kasparov My Great Predecessors, Part IV
2006 Van Perlo Van Perlo's Endgame Tactics
2007 Gershon San Luis 2005
2008 Bareev From London to Elista
2009 Kasparov Kasparov vs Karpov 1975-1985
2010 Aagaard The Attacking Manual
2011 Nunn Nunn's Chess Endings
2012 Hendriks Move First, Think Later
2013 J-Polgar How I Beat Fischer's Record
2014 Soltis Mikhail Botvinnik: The Life and Games of a World Chess Champion
2015 Gelfand Positional Decision Making in Chess
2016 Sadler Chess for Life
2017 Timman Timman’s Titans
2018 Markos Under the Surface
2019 Sadler Game Changer
2020 Smerdon The Complete CHESS SWINDLER
2021 Short WINNING
2022 Adams Think like a Super-GM
Chess Café Book of the Year Award
Year Author Title
2001 Nunn Understanding Chess Move by Move
2002 Aagaard Excelling at Chess
2003 Watson Chess Strategy in Action
2004 Benko My Life, Games and Compositions
2005 Marin Learn from the Legends
2006 Van Perlo Van Perlo's Endgame Tactics
2007 Silman Complete Endgame Course
2008 Hertan Forcing Chess Moves
2009 Grooten Chess Strategy for Club Players
2010 Seirawan Chess Duels
2011 Neiman Invisible Chess Moves
2012 Skjoldager Aron Nimzowitsch
2013 Smith Pump Up Your Rating
2014 Nunn John Nunn's Chess Course
2015 Marin Learn from the Legends
Averbakh/Boleslavsky Award (FIDE)
Year Author Title
2018 Kuzmin Together with the Candidates
2019 Sadler Game Changer
2020 Terekhov The Life and Games of Vasily Smyslov
2021 Markos/Navara The Secret Ingredient
2022 ? ?
submitted by megahui1 to ChessBooks [link] [comments]

2023.06.01 13:21 eZGjBw1Z New and Changed Products - June 2023

Usually around the first of the month we have a batch of price changes and this month is no different. According to the "How to Become a Contract Liquor Agent" document, "The Agent must also complete price changes that occur at the first of the month..."
Number of Price Increases: 2 Number of Price Decreases: 136 Number of New Products: 44 Number of Status Changes: 4
I plan to reply to this post throughout the month if I notice other significant changes happening or at the end of the month before the next update to keep the changes in one place. Here's a link back to what changed in May 2023: American Whiskey, Brandy, Canadian Whiskey, Cordial, Gin, and Irish Whisky, Rum, Scotch, Tequila, and Vodka.
For each category I've sorted by the amount of the price increase or decrease. New products are shown first, then price decreases are shown in decreasing order followed by price increases in increasing order. At the end are products with other changes unrelated to price.
Current product status is indicated on each line as follows. OHLQ hasn't publicly explained what these things mean but I've included my best guess below.

American Whiskey


Canadian Whiskey



Irish Whisky





submitted by eZGjBw1Z to OhioLiquor [link] [comments]

2023.06.01 13:13 Kloud9nyc Exploring the Use of Generative AI in Enterprise Marketing and Content Creation

Exploring the Use of Generative AI in Enterprise Marketing and Content Creation


In today’s digital age, creating captivating and engaging content is crucial for businesses hoping to stand out from their competitors. However, the process of generating content can be time-consuming and expensive. This is where generative AI comes in — a technology that could transform content creation as we know it.

What is Generative AI?

Generative AI, also known as creative AI, is a subfield of artificial intelligence that focuses on teaching machines to create content. With input from humans, generative AI uses machine learning algorithms to generate text, images, and even music. Providing input is also known as prompting and there’s a rise for tools and skills including a specific role called “prompt engineer”. We can conclude that the better the prompt, the better output from AI.

Pros of Using Generative AI in Enterprise Marketing

  1. Time-Saving: With generative AI, businesses can create quality content in a fraction of the time it would take to produce manually. This efficiency can save time and money while freeing up staff to work on other high-priority tasks. For instance, Adobe Photoshop has launched built-in generative AI allowing it to rapidly manipulate images subtracting content, or adding new objects such as backgrounds or other elements into the image. Generative AI can also rapidly summarize content or lift the key points from even a large volume of text or create transcripts from video files. ‍
  2. Consistent Quality: By using generative AI, businesses can produce consistent and high-quality content that aligns with their brand’s messaging and tone, eliminating errors and inconsistencies with a pre-defined set of prompts. Writers are quickly becoming prompt engineers and editors which changes their skill requirements and work itself. ‍
  3. Personalization: Generative AI can create customized content for individuals based on their interests and preferences. This personalized approach has led to increased engagement and conversions for businesses that implement it. Imagine personalizing greeting videos for each of your prospects — with generative AI and video tools such as this can be achieved very quickly.

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Cons of Using Generative AI in Enterprise Marketing

  1. Lack of human touch: Despite the advances that have been made in generative AI, it still falls short when it comes to delivering content that truly resonates with people. Humans can often detect when content has not been created by another human and may respond negatively as a result. There are also stylistic differences that readers will learn to spot over time. ‍
  2. Limited Creativity: Generative AI is only as good as the data it is trained on and the algorithms it uses. Although it can generate content quickly, the creativity of that content may be limited since it does not have a human’s ability to think creatively or make nuanced judgments. Especially with generative images you sometimes see immediately that it was created with AI instead of a human. ‍
  3. Legal and security risks: The use of generative AI could pose legal risks, particularly when it comes to copyright enforcement. The AI is still learning, and there is a risk that it could inadvertently infringe on existing intellectual property rights. There’s also a risk that users will inadvertently use proprietary data as part of their prompting which can lead to data becoming part of the learning dataset of the foundation model. This data leakage is particularly problematic if there’s some personally identifiable information included. ‍
  4. Accuracy: There’s a term coined for this — AI Hallucination. This refers to the scenario where the AI model will generate content that seems perfectly logical but is factually incorrect. Either there have been inaccuracies in the training set or the statistical model that is being used during generation connects wrong concepts. For instance, if you ask AI “What is the oldest language still spoken” you get the answer that it’s Tamil. But in fact, it’s Sanskrit and it’s easy to confirm. The hallucination here seems to be that more people speak Tamil today than Sanskrit, so you get the answer that’s not bad but not factually correct.


Despite its limitations, generative AI has the potential to revolutionize enterprise marketing and content creation. Its speed, consistency, and personalization capabilities make it a promising technology for businesses looking to keep up with the ever-changing digital landscape. However, it is crucial to recognize its limitations and use it appropriately to avoid any ethical or legal issues. If your organization is planning to implement generative AI more widely, it’s good to engage with an organization like Kloud9 which can help you navigate the challenges and introduce the best-performing large language and foundation models as well as the platforms such as GPT or AWS Bedrock/Titan.
Exploring the Use of Generative AI in Enterprise Marketing and Content Creation was originally published on Kloud9
submitted by Kloud9nyc to u/Kloud9nyc [link] [comments]

2023.06.01 13:13 General_Pie_604 Eren's trauma and one of the core reasons why he did the rumbling

Eren's trauma and one of the core reasons why he did the rumbling submitted by General_Pie_604 to titanfolk [link] [comments]

2023.06.01 12:48 coradrart My maps for WotR + custom Areelu Vorlesh statblock

As I have finished WotR, I'm bringing all my maps as promised. Some I deem very good, some are ugh, but I'll let you choose. There are some that are my players' creations as well.
I'm also bringing my Vorlesh's statblock. Yeah, her Int is legal...
All WotR maps link

AREELU VORLESH CR 35Female advanced mythic succubus witch 10/demoniac 10/archmage 10CE Medium outsider (chaotic, demon, evil, native)Init +24M; Senses darkvision 60 ft., true seeing; Perception +34
DEFENSEAC 67, touch 34, flat-footed 55 (+13 armor, +5 deflection, +10 Dex, +2 dodge, +2 insight, +2 luck, +14 natural, +5 profane, +6 shield)vigor 400 (20 HD; 10d6+10d8+220+32), wound 98Fort +36 (+4 in swarm), Ref +30 (+4 in swarm), Will +33 (+4 vs. redirect the soul, +3 vs. mind-affecting, +4 in swarm)Defensive Abilities enduring armor, greater familiar link, hard to kill, mirror dodge, mythic saving throws, never surprised or flat-footed, resilient arcana (DC to dispel is 41), swarm walker, unstoppable; DR 10/cold iron, good, and magic; Immune curse, electricity, poison; Resistacid 10, cold 10, electricity 10, fire 10; SR 35
OFFENSESpeed 30 ft., fly 60 ft. (good)Melee Deskari’s Tooth +54/+49/+44/+39 (1d4+20/19–20)Special Attacks energumen (+6 Int), channel power, flexible counterspell, mythic hexes (cauldron, cackle, deathcall, evil eye, misfortune, agony [major hex]), mythic power (23/day, surge +1d12), mythic spellcasting, spell sieve, wild arcanaWitch Spells Prepared (CL 20th, concentration +45)9th(9) - Time Stop M, Wail of the Banshee (DC 49), Mass Suffocation (DC 49), Maze of Madness and Suffering (DC Int 22), Soul Bind (DC 49), Foresight8th(9) - Maze M, Greater Possession (DC 48), Temporal Regression, Death Clutch (DC 48), Quintessence Mastery, Prediction of Failure (DC 44), Condense Polymorphens, Mind Blank, Moment of Precision7th(9) - Waves of Exhaustion, Phasic Challenge (DC 47), Particulate Form, Chain Lightning (DC 46), Heal M, Greater Hostile Juxtaposition (DC 43), Regenerate6th(9) - Disintegrate (DC 46), Transformation M, Greater Death Knell Aura (DC 46), Eyebite (DC 46), Vengeful Outrage, Source Severance (DC 46), Greater Dispel Magic, Quickened Psychic Leech (DC 38), Cone of Cold (DC 45), Invoke Deity5th(10) - Baleful Polymorph M (DC 43), Slough (DC 45), Wracking Ray (DC 45), Cure Critical Wounds, Cloudkill (DC 41), Covetous Aura, Quickened Ill Omen4th(10) - Threefold Aspect, Black Tentacles M, Greater Infernal Healing, Deathless M, Familiar Melding, Mythic Severance (DC 44), Fleshworm Infestation (DC 40), Greater False Life, Soul Vault3d(10) - Haste, Heroism M, Dispel Magic, Fly, Spellcurse (DC 43), Phantasmal Reminder (DC 39/39)2d(10) - Vomit Swarm, Psychic Leech (DC 38), Boneshaker (DC 42), Spectral Hand, Callback, Glide, Status1st(11) - Ill Omen MPatron - Time
STATISTICSStr 24, Dex 30, Con 32, Int 60, Wis 29, Cha 27Base Atk +12; CMB +19; CMD 46Feats Accursed Hex, Combat Expertise, Dodge M, Greater Called Shot, Improved Called Shot, Improved Familiar, Spell Focus (necromancy) M, Spell Focus (transmutation) M, Split Hex, Quickened Spell, Witch Knife MSkills Acrobatics +35, Bluff +36, Diplomacy +33, Disable Device +35, Disguise +33, Escape Artist +35, Fly +38, Heal +37, Intimidate +36, Knowledge (arcana, history, nature, planes, religion) +53, Knowledge (dungeoneering, engineering, geography, local, nobility) +50, Linguistics +50, Perception +34, Sense Motive +37, Spellcraft +53, Stealth +38, Use Magic Device +36Languages Abyssal, Aklo, Celestial, Common, Draconic, Druidic, Dwarven, Elven, Giant, Gnome, Halfling, Hallit, Infernal, Necril, Orc, Sylvan, Undercommon; telepathy 100 ft.SQ amazing initiative, ancient, change shape (alter self, any Medium humanoid, 1/day), competent caster, component freedom (S), demonic mark, dominion over outsiders, greater familiar link, inherent bonuses (+4 Str, +4 Dex, +4 Con, +5 Int, +4 Wis, +4 Int), immortal, mythic familiar, obedience, recuperation, scry on familiar, wealthy, witch’s familiar (quasit named Gimcrak)Gear ambrosia (3 doses), mithral buckler +5, ring of protection +5, amulet of natural armor +5, staff of power (fully charged), cloak of resistance +5, corset of dire witchcraft, orange prism (normal) ioun stone, void shard, greater maximize rod, greater reach rod, greater quicken rod (2), luckstone, Pale Green Prism (Normal) Ioun Stone, belt of physical perfection +6, bracelet of friends (attuned to Gimcrak), headband of mental superiority +6, Deskari's Tooth ( +6 anarchic unholy dagger / witch knife)
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2023.06.01 12:33 chrisevans1400 Just Imagine

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2023.06.01 12:28 amolgshinde Precision Planting Market Trend Report 2021 Forecast 2030

Precision Planting Market Trend Report 2021 Forecast 2030
Comprehensive historical analysis of global market for Precision Planting has thoroughly analyzed in this report. It offers data and insights from 2019-2022, and provides extensive market forecasts from 2023-2032 by region/country and subsectors. It covers the price, sales volume, revenue, historical growth, gross margin, and future outlooks for the Precision Planting market.

The Global Precision Planting Market is anticipated to reach USD 10.78 billion by 2030, at a CAGR of 9.7% during the forecast period from 2021 to 2030.

The report includes growth prospects in the global Precision Planting market by type, application, sub segement and region and QMI has compiled a comprehensive detailed research report to offer insights. The report details consumption in the Semiconductors & Electronics and other sectors. Regional coverage spans North America, Europe, and rest of the world including Asia Pacific.

Leading players of Precision Planting including:

Kinze Manufacturing, Inc. Ecorobotix SA Morris Industries Ltd. Precision Ag Solutions Precision Seeding Solutions Titan Machinery Bourgault Industries Ltd Väderstad Group CNH Industrial N.V. ICL FlyPard Analytics GmbH Trimble, Inc. Deere & Company AGCO Corporation Ag Leader Technology KUBOTA Corporation

Request To Download Free Sample copy of the report @

Market split by Segement, can be divided into:

By System Type Precision Air Seeders High Speed Precision Planting System Drones Others
By Product & Services Software Hardware Others

Market segment by Region/Country including:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • Uk
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Middle East & Africa
    • UAE
    • Saudi Arabia
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

Check discount for this report:

In January 2023, Precision Planting has introduced Panorama, their newest product. Panorama by Precision Planting enables farmers to better utilise collected data by allowing for simple uploads to their preferred platform. Panorama gives farmers an unobstructed view of the data collected in their cab, whether on the app or by moving data to their preferred platform.

Access full Report with Table of Content @

Whats covered in the report?

  • 1. Overview of the Precision Planting market.
  • 2. The current and forecasted regional (North America, Europe, Asia-Pacific, Latin America, the Middle East and Africa) market size data for the Precision Planting market, based on segement.
  • 3. Precision Planting Market trends.
  • 4. Precision Planting Market drivers.
  • 5. Analysis of major company profiles.

Reasons to buy this Market Report:

  1. Save time carrying out entry-level research by identifying the size, growth, and leading players in the emerging Precision Planting market.
  2. Use the SWOT analysis to determine the competitive intensity and therefore attractiveness of the emerging Precision Planting Industry.
  3. Leading company profiles reveal details of key Precision Planting market players emerging five operations and financial performance.
  4. Add weight to presentations and pitches by understanding the future growth prospects of the emerging Precision Planting market with five year historical forecasts.
  5. Compares data from North America, South America, Asia Pacific Europe and Middle East Africa, alongside individual chapters on each region.
  6. Extensive information on factors that will amplify the growth of the Precision Planting market over the upcoming seven years
  7. Accurate estimation of the global Precision Planting market size
  8. Exact estimations of the upcoming trends and changes observed in the consumer behavior
  9. Growth of the global Precision Planting market across the North & South America, EMEA, Asia Pacific, and Latin America
  10. Information about Precision Planting market growth potential
  11. In-depth analysis of the industry’s competitive landscape and detailed information vis-a-vis on various vendors
  12. Furnishing of detailed information on the factors that will restrain the growth of the Precision Planting market

About the Spherical Insights

Spherical Insights is a market research and consulting firm which provides actionable market research study, quantitative forecasting and trends analysis provides forward-looking insight especially designed for decision makers and aids ROI.
which is catering to different industry such as financial sectors, industrial sectors, government organizations, universities, non-profits and corporations. The company's mission is to work with businesses to achieve business objectives and maintain strategic improvements.
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2023.06.01 12:26 Dakota2115 Trying To Build Attack on Titan Walls

Can someone help with figuring out the dimensions for the walls in Attack on Titan so I can properly build them??
submitted by Dakota2115 to minecraftbuilds_help [link] [comments]

2023.06.01 12:21 Acrobatic_Ad1901 Is there another scenario for the series Attack on Titan?

I'm watching and reading this series for the second time and I wonder again if there really isn't any other way to use the power of the titans than endless war? I think that the author by not giving his characters this choice, wanted to show us a certain hidden truth about us, about people and about the world. However, it bothers me to think that some things could have turned out differently. Do you think titan power was designed as a weapon from the beginning? Do you think there is any other way to use it than to destroy, take revenge and conquer other countries? Or are we simply so corrupt as a society that we don't care about anything else? What do you think?
submitted by Acrobatic_Ad1901 to ShingekiNoKyojin [link] [comments]

2023.06.01 12:19 iirisconsulting Artificial Intelligence in Security

Artificial Intelligence in Security
In the late 1970s, academics and industry has worked on the subject of AI and with the advent of numerous connected networks and big data, Neural Networks and Deep Learning have emerged as key application areas of AI based. Last 24 months have been interesting for the Security Industry with new age technologies such as Artificial Intelligence, Machine Learning and Machine Vision making mainstream appearances; products getting smarter & sophisticated; and the overall adoption roadmap of these technologies seems much wide spread now than ever.
The growing number of companies innovating in AI applications for physical security is a clear indication that these are more than a passing phase.
These technologies have been identified as ‘Exponential Technologies’ as technology for which performance relative to cost and size is doubling every year.
The concept of Artificial intelligence is not new at all. It has been at the core of our smartphones since the last five years in the form of Siri, Alexa and Assistant (for Apple Amazon and Google environments respectively). For that matter, let’s go back a decade: ‘Text to Speech’ is a classic example of consumer genesis of AI.
This ‘Natural Language Processing’ will go beyond just speaking into the phone and resulting in typed text, rather these smartphones and other similar devices will even understand what has been entered. With smart elements such as smart tagging, key word identifying and geographical tagging: these systems will correlate the inputs and provide a better topic identification. A sentence such as ‘someone forced entered through main door’ will not be read just the way it sounds according to the English language, but these machines will apply the technology to decipher the outcome / output result by identifying it to be an ‘act of intrusion’.

Artificial Intelligence in Security
A major deep learning breakthrough occurred in 2015, which radically reduced the machine vision error rate. During a machine-vision competition, a large visual database designed for use in visual object recognition software research - succeeded for the first time in surpassing the five percent average human error rate, when analyzing a database of images. Such a rapid enhancement was caused not only by progress in advanced algorithms, but also by the development of new and much faster hardware systems based on graphics processing unit (GPU) cores, instead of traditional central processing units (CPUs). These new marriage of hardware and software architectures allowed for faster learning phases.
Understanding these Technologies
Artificial intelligence (AI) is the body of science, algorithms, and machines that are able to perform some version of learning and independent problem solving, based on advanced software and hardware components. Data is core to AI; large datasets are the foundation for recent performance improvements across market applications. Within the AI subject field there are other sub-fields such as machine learning, neural networks, and deep learning.
Machine Learning involves collecting large amounts of data related to a problem, training a computer using this data and employing this model to process new data. Deep learning, which is a branch of Machine learning, is a way to emulate the functions of the human brain using software algorithms.
With deep learning, you can show a computer many different images and it will “learn” to distinguish the differences. This is the “training” phase. After the neural network learns about the data, it can then use “inference” to interpret new data based on what it has learned. For example, if it has seen enough cars before, the system will know when a new image is a car.
For this to happen, the system “learns” by looking through large volumes of data that need faster processing time to achieve artificial intelligence (AI). This is where Graphic Processing Unit (GPU) comes in, and is making artificial intelligence accessible to the security industry. By improving surveillance efficiency and accuracy with AI during the course of time - the technology is already being added to existing cameras to more efficiently search for objects or persons of interest. In surveillance applications, AI could eliminate the need for humans to do hard laborious work such as look at hours of video footage.
A system relying on neural networks differs from conventional pattern-recognition systems, in that it will continuously learn from experience, and base its ability to discern and recognize its surroundings like human beings do: by learning from real sounds, images, and other sensory input.
Enabler of Competitive Advantage
In the recent past, the usage of machine learning – primarily in the applications for image processing and natural language processing, machine translation has exploded in the industry and allied sectors. Most of these capabilities are based on open-source libraries, and can be deployed easily and rather cost effectively in the cloud or distributed cloud – the entry barriers are on an all-time low and is on the rampant decline further. This will always give way for product and services innovations and the benefits will be beyond standard automation based tasks.
The proliferation of these technologies have especially resonated with the c-level business leaders who have embraced these in order to differentiate themselves from competitors.
As per a recent study conducted – 45% of businesses have deployed these technologies in the financial sector that are core to their business and about 10% are still experimenting – thus taking the overall count to more than 50% of the total businesses who are leveraging these technologies at some level.
Let’s take financial and human capital organisations for example – the adoption of AI and ML lies in the motivation to saving money – where in these technologies cut costs and increase productivity by a factor of billions of dollars. However, the main focus of these technologies over a period of time is well timed and informed decision making. About 60% organisations use it to drive decision making – and data is at the core of all of this. Any innovation that makes better use of data, and enables data scientists to combine disparate sources of data in a meaningful visualisation that could have the potential to gain competitive advantage. The areas where these are used are: Risk Management, Performance Analysis & Reporting, Ideation and Automation.
The key adoption drivers are to these are: Extract better (read ‘meaningful’) information, increase the pace of productivity, reduce overall operating costs and extract more value from data available (or data mined).
AI and the Security Industry
AI, ML and Deep learning technologies offer a much higher level of accuracy and reliability to recognise an object or behaviour, and accurately classify significantly higher than the traditional / conventional rules-based algorithms.
New age algorithms make deep learning solutions to view a scene as intuitively as a human being. The ability of deep learning algorithms to view a scene intuitively, as a human viewer would, means that detection accuracy increases dramatically. Neural networks allow a computer to apply a series of algorithms to a given situation learning to identify increasingly more sophisticated features such as shapes, colors, tones, textures - unlike rules-based solutions which are limited to the limited inputs. Also, as compute power continues to increase, the neural networks will leverage for improved accuracy.
Deep learning has demonstrated its capacity to increase the effectiveness of a computer to reliably classify objects and behavior. Security software companies are now marketing analytics that can leverage deep learning to turn vast amounts of video footage into usable information in a fraction of the time it would have taken in the past. In the video surveillance analytics market, some algorithm developers are using AI in the form of deep learning to maximize their output efficiency. Most of these software companies are training the algorithm mostly in the cloud, using solutions such as Amazon Web Services or Azure as heavy computing power is expensive so it is leased. This has bolstered the growth of the security could market by a factor of 35% yearly.
Programming and coding methods have also been optimised for rapid deployment. In the past, the speed and quality of the analytic was directly impacted by the team’s size. Now, analytics can be developed for niche applications quickly and with far lesser resource requirement boosting up competition amongst niche players. Furthermore, most of the large companies are focused on one-size fits all, leaving opportunity in niche applications.
Video processing software also allows users to interact with the surveillance footage using a search engine like interface with natural language search terms such (such as ‘man in a red shirt’, or ‘blue car’). This makes searching video like a breeze and much easier to use and search, there by significant reducing time and human effort to pull footage from hundreds of thousands of cameras. In addition to this, the ability to detect multiple objects and classify them allows for much greater insight – for example, this extends the ability to recognizing a cars color, type, make, model, and analysing which direction and speed it is moving at - making it possible to provide trending analysis, draw patterns and conclusions based on historical data.
This coupled with the concept of Command & Control Centres, the industry is moving in the direction of ‘Usable and Actionable’ Result oriented framework for security information management and security operations.
Face Recognition Applications and Biometrics:
Most facial recognition analytics on the market today feature some kind of deep learning. Not only does it increase the accuracy of facial recognition sensors, it also enables faces to be identified in larger and more crowded scenes. In the wake of recent terrorist attacks in crowded locations, this capability could change the whole approach to security monitoring, allowing law enforcement to track suspects with greater speed and efficiency.
However, deep learning analytics are doing more than just improving accuracy rates. They are also enabling the system to make assumptions and provide business intelligence on a detected face. Age and sex recognition algorithms, which are particularly popular within retail applications, allow end-users to profile potential customers and target marketing material appropriately. Furthermore, some vendors claim to be able to recognize a person’s emotions through analytic algorithms. There remains some debate as to the accuracy of these solutions currently.
One area where facial recognition has the potential to disrupt, is in the access control market. Facial recognition solutions have been used for a number of years at passport control in airports. However, as the price of the technology and cameras reduces, it is expected that facial recognition will be used to prevent access to restricted areas.
Risk Based Access Control:
In nearly all access control systems, the authentication process is a singular event; a credential is presented and access is granted or denied. However, by leveraging the advanced capabilities of neural networks this process can be made more intelligent.
At a basic level, risk based access control can be summarized as follows: in many sports stadiums public office space is combined with the actual sports stadium. Access to the office locations needs to be open when workers are accessing it during the week. However, when the sports event is on this access should be restricted and only provided to key personnel with the correct access control credentials.
In the example given the authentication process is dynamic, depending on circumstances. This allows the system to shift gears and provide a higher level of building security when certain events happen. By introducing the intelligence of AI to a risk-based access control authentication decision, the process can be made more complicated. Instead of defining risk levels by looking at the events currently on in the building, the system could pull data from other security or building management systems or social media alerts to make decisions based on this data. The main barrier to developing this level of complexity using traditional rules-based analytics is that there are simply too many variables to account for. The use of neural networks means developers do not need to write rules for the system to follow, they simply need to provide the algorithm with objectives and training data. Over time, the system will be able to decide how all of the inputs should relate to the current risk level.
Real Time Crime Analysis
Predictive analysis tools have come a long way since the first products and solutions. Police agencies can now make use of a wide range of data inputs and advanced data mining techniques to predict where criminal activity is likely to occur. This approach is called the predictive crime center and it is becoming an important part of modern policing.
Data from video surveillance, traffic management cameras, audio analytics, gunshot detection, weather systems, and other public safety systems are analyzed in parallel to identify patterns and potential threat events. Over the past few years, social media has also become a viable tool in public safety. In many cases, incidents are first reported on social media platforms such as Twitter and Facebook. Analyzing the data “hose” is challenging but can support quicker emergency response times when applied successfully.
The future predictive command center will be reliant on powerful analytics software to extract intelligence from the unstructured data sources routed into command centers. The solution must be open to ensure that enough data is fed into the big data solution. Artificial Intelligence will play a key role in navigating this data, recognizing patterns and making intelligent decisions independently of the human operators.
Related, a more localized solution to predictive alerts could be implemented in the suburban environment. AI could be used to identify criminal behavior such as burglary and theft. Deep learning video surveillance cameras could support the process, alerting to triggers such as loitering, repeatedly walking past the same spot and wearing clothing that makes it hard to identify an individual. Artificial intelligence in this case could also make better use of the crime data available – in terms of frequency, time, approach, and direction, to more accurately predict future criminal events.
Managing Large Data Volumes (Big Data), Privacy and Cyber Security
AI supports more detailed statistical analysis of the operations of security departments. However, one of the challenges for “big data” is in having enough data to make reliable statistical conclusions. As we have already highlighted, the short-term data analysis opportunities will likely be in situations where large data sets are created such as in safe city projects. Smaller companies may not be able to make accurate decisions based on a more limited data set. Ultimately, AI is required to identify that thing that does not belong in the data: this requires enough data to recognize anomalies, not just new content.
Another challenge is in normalizing the data. Social media represents an important new source, but in order to alert to abnormal behavior there needs to be an assessment of what is normal behavior. Consequently, normalizing the data set is critical to assess what is the typical amount of conversation around a specific topic.
The physical security market could also learn from other industries in applying AI to customer service. Natural language processing is improving and chat bots are increasingly used by consumer facing companies to provide an artificial intelligence interface for their users. This type of technology could be deployed to support physical security and employee security applications in the future.
As discussed, the performance of an artificial intelligence algorithm is linked to the quality and size of the available dataset. In an increasingly connected world, new physical security sensors are being deployed all the time, driving different data types into the AI solution. While this is great for the evolution of deep learning algorithms, it does present a threat in terms of cybersecurity. Historically, the biggest challenge for cybersecurity in the physical security market has been the lack of awareness throughout the route-to-market. End-users often underestimated the force of cyber threats and integrators and equipment suppliers were not focused on building cyber protection into their solutions.
More recently, equipment vendors in the video surveillance and access control markets have shown more commitment towards cyber security. Responses have included product hardening guides, encryption certification, the auditing of firmware code and partnerships with dedicated cyber security solution providers.
However, many of the connected device start-ups entering the physical security market don’t have the resources to focus on cyber security and will remain a threat to the overall solution. As the large IT companies improve their cyber defenses, it is likely that attacks on IoT vendors will increase in regularity and intensity. Ultimately, these companies will provide an easier target to hackers looking to maximize their impact.
AI is also relevant in terms of cyber security technology. For example, the defense market is already using deep learning applications to analyze cyber data to better protect critical national infrastructure. Many industry observers think that hackers will use this technology to escalate their attacks in the future too, increasing the cyber threat further. There are also some concerns related to how AI solutions interpret inputs and whether this could be manipulated by cyber criminals to cause confusion and damage in the future.
Related to the cyber threat, data privacy and risk will also be important considerations as AI solutions become more pervasive. Data encryption of video surveillance images is not common at the moment; mostly it is used in healthcare or critical infrastructure. GDPR (General Data Protection Regulation) in the EU could define video as unique personal data which may change the encryption requirements for video feeds.
GDPR could also impact what data is stored and how it is shared, impacting the analytics market. In particular, face recognition and person classification analytics will be considered personal data and have constraints on what can be done with the information. In response, Belgium announced that it will be banning the use of facial recognition for private use. The legislation does allow access control law enforcement applications but is an example of how data privacy could impact the physical security AI market.
Future is NOW for Artificial Intelligence
AI will be disruptive to many industries – not just the physical security market. Moreover, the impact of AI will not be just on industries and finance, but our entire society, especially in the areas of privacy and data security, labor, and ethics. The need for data security and privacy is more essential today than ever, given the availability of such powerful technologies.
The physical security market is primed to benefit from AI for two reasons:
• AI, in the form of deep learning algorithms, has the potential to revolutionize the video surveillance analytics market providing face recognition, object recognition and behavior recognition at a reliability level that will really matter to end-users.
• The physical security industry generates data. Video surveillance images, access control data, audio analytics, social media, police records management systems and other IoT sensors all generate data that can be correlated and analyzed by artificial intelligence systems to build a safer society. Intelligently managing this data is huge challenge. AI can help solve this problem.
The challenge for physical security vendors, end-users, and integrators will be how to make the most of the AI opportunity. This will involve investment, education and judgement to best apply this transformative technology to the individual challenges faced by each participant.
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2023.06.01 12:01 AnimeMod Anime Questions, Recommendations, and Discussion - June 01, 2023

Anime Questions, Recommendations, and Discussion - June 01, 2023
This is a daily megathread for general chatter about anime. Have questions or need recommendations? Here to show off your merch? Want to talk about what you just watched?
This is the place!
All spoilers must be tagged. Use [anime name] to indicate the anime you're talking about before the spoiler tag, e.g. [Attack on Titan] This is a popular anime.
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Don't know what to start next? Check our wiki first!
Not sure how to ask for a recommendation? Fill this out, or simply use it as a guideline, and other users will find it much easier to recommend you an anime!
I'm looking for: A certain genre? Something specific like characters traveling to another world?
Shows I've already seen that are similar: You can include a link to a list on another site if you have one, e.g. MyAnimeList or AniList.


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2023.06.01 11:55 bilge_kagan Dejavu Followed by Staggers, Triggered by Coffee Consumption?

34 M 70 kg 176 cm, have this issue for about 7 years now. Apologies for grammar mistakes, English is not my native language. Let me write the details:
I drink 2 cups of Turkish coffee (85 ml water, 5.5 gr coffee per cup) or 1 cup of double espresso with a mokapot (170 ml water, 13 gr coffee per cup) daily. If I exceed this limit (sometimes, even if I don't) I first kind of feel like I have gas/congestion in upper left part of my bowels (it is persistent throughout the day), then occasionally get a feeling of dejavu; it sometimes kind of feels good but mostly makes me feel anxious. Sometimes it doesn't move on and I go back to feeling normal, but most of the time it is followed by staggers, my vision goes black for several seconds and I am unable to speak or understand what people are talking although I hear clearly. Vision and ability to understand what's being spoken comes back in a short time, but inability to speak or gather thoughts together persists for a couple of minutes more.
If I cut the coffee consumption, the situation persists for a couple of days more, then disappears. If I keep drinking above my limit, it gets worse and worse with multiple attacks per hour. I visited cardiology (they said it has nothing to do with their field without doing any tests); neurology (they were suspicious of epilepsy, but nothing came out of tests); neurosurgery service (they were suspicious of a tumor, but it turned out to be a harmless one); endocrinology (this visit was about some other issues I had, they were suspicious of a thyroid and testosterone issue but everthing turned out to be normal other than blood sugar levels being slightly over the limit).
I don't know if it's related/useful, but I have an unsolved ED problem for about 4 years that I can't track if it started around the same time. I workout 3 hours a week, travel by walking/cycling within 20 km radius, and work a sedentary job where I have to sit by a computer 10 hours a day during weekdays. I eat regularly and healthily in Mediterranean cuisine, I do not smoke or drink alcohol, excluding special days. I do not use any medicine regularly.
Thank you for any advice.
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2023.06.01 11:35 Nehasper Europe Data Center Construction Market Share and Growth, Rising Trends, Innovative Technology, Business Analysis and Future Scope 2023-2033: SPER Market Research

Europe Data Center Construction Market Share and Growth, Rising Trends, Innovative Technology, Business Analysis and Future Scope 2023-2033: SPER Market Research
The term "data Center construction" describes a group of methods used to build a data Center facility either physically or virtually. Businesses keep their vital software and data in data centers, whether they are physical or virtual. It is built on a network of storage and processing resources that makes it possible to distribute shared programmes and data. Due to its redundant mechanical, cooling, and electrical power systems, network communication connections, and highly reliable, secure environment, businesses of all sizes prefer it. The process of building a facility includes its design, planning, and construction.
According to SPER Market Research, Europe Data Center Construction Market Size- By Infrastructure Type, By Offering, By Tier Standards, Data Center Type, By Type, By End User - Regional Outlook, Competitive Strategies and Segment Forecast to 2033’ state that the Europe Data Center Construction Market is estimated to reach USD 34.22 billion by 2033 and is poised to surge at CAGR of 7.86%
Europe Data Center Construction Market Future Demand
A number of key factors have contributed to the rapid growth of the Europe data Center construction market in recent years. The swift spread of digital transformation throughout many firms is one of the primary drivers. Businesses are producing and processing large volumes of data as a result of the use of big data analytics, cloud computing, artificial intelligence, and the Internet of Things (IoT). The requirement for data Center infrastructure has grown as a result of the increase in data generation for storing, managing, and analysis.
Europe's data Center construction market is expanding as a result of the region's increasing demand for digital infrastructure, edge computing specifications, data privacy regulations, the COVID-19 pandemic's effects, and the emphasis on environmental sustainability.
Europe's data Center construction market is restricted by issues with land availability and cost, electricity costs and availability, connectivity limitations, legal compliance, technology improvements, and geopolitical risks. For the area's data Centers to be built and operated successfully, strategic planning, cooperation with stakeholders, and the capacity to respond to altering industry dynamics are required.
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The Covid-19 outbreak has had a significant negative influence on the Europe data Center construction market. Global demand for data Centers has increased as a result of the pandemic's accelerated digital transformation, but a number of issues and disruptions have also arisen. The supply of equipment and building materials has been adversely affected by the outbreak, which has had a major effect on the worldwide supply chain. International trade restrictions, business closures, and logistical issues have all caused delays in the delivery of necessary components for data Center construction projects. Project delays and increased construction costs are the result.
Furthermore, Hewlett Packard Enterprise announced its collaboration with Cheops Technology in March 2022. Through this cooperation, the company will be able to provide its HPE GreenLake edge-to-cloud platform to customers in France, enhancing its presence in the continent and advancing its objective of vital data growth. In addition, some of the market key players are; Hewlett Packard Enterprise Development LP, IBM Corporation, Juniper Network Inc, Lenovo Scheider Electric, Oracle, Rittal GmbH & Co KG.
Europe Data Center Construction Market Segmentation:
By Infrastructure Type: Based on the Infrastructure Type, Europe Data Center Construction Market is segmented as; Electrical Infrastructure, General Infrastructure, Mechanical Infrastructure.
By Offering: Based on the Offering, Europe Data Center Construction Market is segmented as; Offering, Services.
By Tier Standards: Based on the Tier Standards, Europe Data Center Construction Market is segmented as; Tier I, Tier II, Tier III, Tier IV.
By Data Center Type: Based on the Data Center Type, Europe Data Center Construction Market is segmented as; Large Scale DC, Medium Scale DC, Small Scale DC.
By Type: Based on the Type, Europe Data Center Construction Market is segmented as; Cloud Data Center, Colocation Data Centers, Edge Data Center, Enterprise Data Centers, Hyperscale Data Center, Managed Services Data Centers.
By End User: Based on the End User, Europe Data Center Construction Market is segmented as; Banking, Financial Services and Insurance, Energy and utility, Government, Healthcare, IT and Telecommunication, Manufacturing, Media and Entertainment, Pharmaceutical, Research & Academic, Retail & E-Commerce, Others.
By Region: This report also provides the data for key regional segments of Germany, France, UK, Italy, Russia, Rest of Europe.
This study also encompasses various drivers and restraining factors of this market for the forecast period. Various growth opportunities are also discussed in the report.
For More Information, refer to below link:-
Europe Data Center Construction Market Future Trends
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submitted by Nehasper to u/Nehasper [link] [comments]

2023.06.01 11:25 JohnsonMooney Connemarathon HM 23/04/2023

M, 33, 73kg Result: 01:26:xx
A: 1:29:59 B: 1:31:59 C: 1:34:59
Background: I've a decent background playing sports since I was kid, and competed in athletics/track up until my late teens in long sprints (400-800m) as I preferred the training despite always having a tendency to do better aerobically in training. I generally kept in shape during my 20s, and had a few spells of getting back in competitive shape for 400m, but always ended up getting injured which would put me out for months at a time and going back to square one. I have a tendency to over-do things which probably contributed to that cycle in hindsight!
During covid I started getting into distance running consistently as a way to spend time outside, but again was hit by the typical new distance runner injuries a few months in from doing too much too soon. Shin splints, and achilles tendinopathy x2. I do not recommend either! I ran a few 5k Park Runs when that became possible and got into the low 19min range fairly quickly before injury hit again.
So, starting from scratch again last October after the better part of 2 years of an incredibly frustrating training->injury->back-to-square-one cycle, this time around I have been very careful about pacing and recovery and lo and behold that's resulted in my longest stretch of injury-free training in years. Funny that, eh?
My training in the lead up to my first ever HM was 90% easy running with a focus on increasing volume towards a target of a trail Ultra (46km) in June (this coming weekend!!) I deliberately avoided doing much in the way of tempo/intervals and just added strides once a week as a way to keep in touch with true speed. The HM was a nice mini-target a few months into my training to see where I was at. Given I had barely done any work at speed I had no idea what I was capable of over HM, and especially given the course was famously hilly (c 250m elevation gain) but having done a 5km on a tough course a few weeks before in 19:25, I decided to have a crack at sub 90 but wasn't very confident I would get it. Volume was up to 50-70km depending on the week, with 5-6.5hrs time on feet and running on 5 or 6 days.
Pre-race: The race itself was fantastic, with an unbelievably scenic route and extremely well organised with shuttle buses to the start in the tiny village of Leenane from a few pre-appointed parking areas. The weather was extremely good for the West of Ireland in April, with clear skies and temps up to 16°C+ in the sun.
I lined up towards the front with the 1:30 pacers and asked what their pacing plan was, as I had pre-loaded targets for a slight neg split on my watch to try avoid blowing up too much. They said they were planning on banking some time in the first half as the route had a big hill from 16-18.5km and would definitely slow people. I'm glad I made the call on the spot to go with them as it turned out to be a good decision. Atmosphere was very positive at the start line, and I felt a good sense of conraderie that I'd never experieneced in my years running track.
The Race: The start gun went boom-boom, we were underway, and about 30 athletes took off ahead of my pace group as we navigated the short downhill through the village before turning left into a decently long climb out of Leenane and into the wilds of Connemara. I felt like I was working to keep up in the first couple k's but HR was OK and I stayed with it.
3-5k's in and I was feeling much better, up at the front of the pace group and in control as we rolled through undulating short climbs and downhills into the middle section of the race. There was plenty of encouragement from the two pacers and we had a nice group of 10-15 working together.
5-10k and I was feeling great. I took at gel at 30mins in with one spare for the hour mark. I noticed I was taking time out of everyone else on the downhills, something I had been working on in my training but it was good to see it in action without any effort.
Around the halfway point the group was down to 3 plus the lead pacer and we were 3mins ahead of target. The pacer at this point dropped back to try help some of the others who needed more help and the three of us started working together. There were some lovely views during the third quarter of the course and I made sure to take on water at the aid stations. Soon it was just me and one other dude working together, we were both feeling strong and we had started picking off people who were struggling to stay with their early pace. It was around this point I made the mistake of not taking my second gel as I was feeling great and I decided I didn't need it.
At around 16k we hit the big daddy climb and it did not disappoint! I was starting to work harder and the pace dropped a little but we were still well under target pace. I was confident now that I was going to smash my targets. 17k, still climbing and we passed a photographer on the road. I knew he picked that spot because of the stunning views but I doubt if many runners were looking their best at that point in the race, least of all me. Nevertheless, onwards and upwards, still passing runners. Then all of a sudden, just as we were about to crest the peak I felt a twang in my right hammer and then a full blown cramp. Shot by a sniper. Sht sht, double-sh*t!! I pulled up, let my comrade go and stretched it out. I don't know how much time I was stopped for but it must have been at least 30s before I shuffled tentatively onwards, adjusting my stride to a flat or kind of heel-strike motion to change up the firing pattern on my stricken hammer. Thankfully I was soon over the top of the hill and was able to cruise into the long downhill before the final 2.5km flat to the finish-line at Maam Cross.
Luckily that was the end of the cramping and I managed to not get passed by any of the runners I had previously overtaken, in fact I finished strong and passed a couple more runners, while being cheered on by a few groups of people on the roadside. Once I had the finish line in sight I pushed as much as I had left and saw the clock just hit 1:26 as I approached, elated.
Official finish time low 1:26 and inside the top 15 finishers in a field of over 1000, which I was absolutely over the moon with. Absolutely smashed it. I got chatting to the guy who I'd run with up until the cramp and he'd done sub 3 in the marathon before but had gone conservative here due to the hilly course. He was training for sub 2:50 in October so I took a lot of encouragement from being able to hang with him for so long.
Overall it was a fantastic experience for me and a race I will 100% return to.
Post-race and next steps: Next up for me is my A-race Ultra (well, mini-ultra). My training has been fairly consistent since this HM at the end of April but if anything my average volume has gone down a little. Despite that, I'm feeling very positive heading into the weekend and don't have any running commitments immediately afterwards. The immediate focus will be some down time before I pick the training up again in the second half of July and probably work towards a sub 80 HM. I think I have it in me to bridge that gap but will require some more dedicated training at goal paces.
Thanks to anyone who read this far, it ended up being a bit of a monster!
submitted by JohnsonMooney to AdvancedRunning [link] [comments]

2023.06.01 11:18 MetsukiR 31/M/Portugal - Want to make friends

I'd like to make new friends.
I love watching movies or going to the cinema. I also listen to music a lot of the time, but it's mostly Japanese artists. (Irl I always have a pair of headphones or earbuds with me) and I also enjoy video-games, right now I'm trying to start playing Persona 3 FES on my PC, since the P3P recent remaster is lacking in quality. I also read a little bit but it's mostly non fiction books, my favourite author is Oliver Sacks.
I'm a bit of a reserved/shy person, so I may take a bit a to "come out of my shell".
According to my friends, I'm gentle. I'm a bit of an "scatterbrain", I tend to forget stuff when I don't mean to, I mean no harm by it.
I love animals, particularly cats, I always have a photo of my cat ready to share.
I have an, possibly unhealthy, obsession with Attack on Titan, even though I don't watch a lot of anime.
I hope you all have a nice day!
submitted by MetsukiR to MakeNewFriendsHere [link] [comments]

2023.06.01 11:15 MetsukiR 31/M/Portugal - I'd love to make new friends.

I'd like to make new friends.
I love watching movies or going to the cinema. I also listen to music a lot of the time, but it's mostly Japanese artists. (Irl I always have a pair of headphones or earbuds with me) and I also enjoy video-games, right now I'm trying to start playing Persona 3 FES on my PC, since the P3P recent remaster is lacking in quality. I also read a little bit but it's mostly non fiction books, my favourite author is Oliver Sacks.
I'm a bit of a reserved/shy person, so I may take a bit a to "come out of my shell".
According to my friends, I'm gentle. I'm a bit of an "scatterbrain", I tend to forget stuff when I don't mean to, I mean no harm by it.
I love animals, particularly cats, I always have a photo of my cat ready to share.
I have an, possibly unhealthy, obsession with Attack on Titan, even though I don't watch a lot of anime.
I hope you all have a nice day!
submitted by MetsukiR to Needafriend [link] [comments]