Page 1,233«..1020..1,2321,2331,2341,235..1,2401,250..»

Global Artificial Intelligence (AI) Industry Report 2023-2026: Economic Impact of AI, Productivity Gains from AI, Increase in Consumer Demand, Job…

June 11, 2023 | Author: admin

Company Logo

Dublin, June 08, 2023 (GLOBE NEWSWIRE) -- The "Global Artificial Intelligence Industry - Forecast and Analysis 2023" report has been added to ResearchAndMarkets.com's offering.

The global AI market was valued at around $62.35 billion in 2020, and it is expected to grow at a compound annual growth rate (CAGR) of nearly 40% during the forecast period from 2021 to 2026.

This report serves as a valuable resource for industry stakeholders, investors, researchers, and professionals seeking comprehensive insights into the global AI industry, its market dynamics, and future prospects.

In recent years, the global artificial intelligence (AI) industry has experienced remarkable growth and transformation, revolutionizing various sectors and driving technological advancements. The industry has witnessed significant investments, with both established tech giants and emerging start-ups contributing to its development.

Multiple sectors have been rapidly adopting AI technologies to enhance their operations and decision-making processes. Industries such as healthcare, finance, military, and retail have all shown significant interest and investment in AI applications.

While North America remains a prominent market for AI, with the United States being a key contributor to the industry, Europe and the Asia Pacific region have also witnessed substantial growth and adoption of AI technologies.

Looking ahead, the global AI market is expected to continue its upward trajectory, driven by many emerging technologies. Moreover, the market outlook highlights the potential for AI to reshape industries further, opening up new possibilities and creating exciting opportunities for businesses worldwide.

The publisher presents a comprehensive analysis of the Global Artificial Intelligence (AI) Industry in its research report Global Artificial Intelligence Industry - Forecast and Analysis 2023.

The report contains the following:

It delves into the various aspects of AI, including its definition, evolution, and working principles. The report explores the differentiation between AI, machine learning, and deep learning, while highlighting the significance and potential impact of AI across industries.

With an extensive market analysis, the report offers insights into the current state and future growth of the global AI industry up to 2026. It examines market segmentation, trends, and the impact of COVID-19 on AI adoption.

The technology landscape section outlines the key components such as machine learning algorithms, natural language processing, computer vision, robotics, and emerging technologies in AI.

To provide a holistic view, the report conducts a SWOT analysis, PEST analysis, and Porter's Five Forces Strategy Analysis of the AI industry.

The regulatory landscape and regional analysis sections shed light on the global regulatory environment and the adoption of AI across different regions. The report also presents case studies and examples of real-world applications of AI, ranging from deepfake detection to speech recognition and automatic translation.

The report covers the major AI markets worldwide, including China, Germany, India, Japan, the United States, and others, highlighting their contributions to the AI industry. It examines investment trends, corporate investment, and the rise of AI start-ups.

Strategic recommendations are provided for market entry, growth strategies, partnerships, and collaborations in the AI industry. The report identifies key technology trends such as cloud computing, big data, and the Internet of Things (IoT) that are driving AI advancements. Additionally, it emphasizes the importance of addressing AI bias and ethical considerations.

The research concludes with a market outlook, highlighting future applications and emerging trends in the AI industry.

The competitive landscape section showcases major industry players, including Alibaba Cloud, Amazon Web Services, Baidu, Google, IBM, Nvidia, Microsoft, and others.

Story continues

Competitive Landscape

Key Topics Covered:

A. Executive Summary

B. Introduction to the Global Artificial Intelligence IndustryB.1 What is Artificial Intelligence?B.2 Industry Evolution and HistoryB.3 How does AI Work?B.4 What is the difference between AI, Machine Learning, & Deep Learning?B.5 Why is AI so Important?B.6 Pros & Cons of Artificial Intelligence?B.7 Weak AI vs. Strong AIB.8 Stages of Artificial IntelligenceB.8.1 Artificial Narrow IntelligenceB.8.2 Artificial General IntelligenceB.8.3 Artificial Super IntelligenceB.9 Types of Artificial IntelligenceB.10 Rise of Generative AI

C. Global Artificial Intelligence IndustryC.1 Industry DefinitionC.2 Market AnalysisC.3 Market SegmentationC.4 Market Size and GrowthC.5 Market Trends and OutlookC.6 Global Adoption of AIC.7 Impact of COVID-19 on the Industry

D. Global Artificial Intelligence Industry: Technology LandscapeD.1 Overview of Technology LandscapeD.2 Machine Learning AlgorithmsD.3 Natural Language ProcessingD.4 Computer VisionD.5 Robotics and AutomationD.6 Emerging Technologies in AI

E. Global Artificial Intelligence Industry: SWOT AnalysisE.1 Strengths to Build UponE.2 Weaknesses to OvercomeE.3 Opportunities to ExploitE.4 Threats to Overcome

F. Global Artificial Intelligence Industry: Porter's Five Forces Strategy AnalysisF.1 OverviewF.2 Bargaining Power of BuyersF.3 Bargaining Power of SuppliersF.4 Competitive Rivalry in the IndustryF.5 Threat of New EntrantsF.6 Threat of Substitutes

G. Global Artificial Intelligence Industry: PEST AnalysisG.1 Political FactorsG.2 Economic FactorsG.3 Social FactorsG.4 Technological Factors

H. Market DynamicsH.1 Market Trends & ChallengesH.2 Key Success Factors for Companies in AIH.3 Mergers and Acquisitions in the IndustryH.4 Industry Outlook for Profitability in AI

I. Why AI Matters?I.1 Economic Impact of AII.2 Productivity Gains from AII.3 Increase in Consumer DemandI.4 Job Loss or New Job Opportunities?

J. Global Artificial Intelligence Industry: Regulatory Landscape

K. Global Artificial Intelligence Market Analysis by ApplicationK.1 Overview of Applications of AIK.2 AgricultureK.3 Automotive & Autonomous VehiclesK.4 Aviation/AirlinesK.5 ChatbotsK.6 COVID-19 and AI-powered Drug DiscoveryK.7 DefenceK.8 EducationK.9 Finance and BankingK.10 GamingK.11 Industrial ApplicationsK.12 Industrial RobotsK.13 ManufacturingK.14 Media and EntertainmentK.15 Pharmaceuticals and HealthcareK.16 RetailK.17 Space ExplorationK.18 Technology and CommunicationsK.19 Transportation and LogisticsK.20 Utilities & Smart Grid

L. Regional AnalysisL.1 North AmericaL.2 EuropeL.3 Asia PacificL.4 Latin AmericaL.5 Middle East and Africa

M. Major AI MarketsM.1 Overview of the Leading AI MarketsM.2 ChinaM.3 GermanyM.4 IndiaM.5 IsraelM.6 JapanM.7 RussiaM.8 SingaporeM.9 South KoreaM.10 United KingdomM.11 United States

N. Global Investment in AIN.1 Corporate InvestmentN.2 Boom in AI Start-upsN.3 Investment by RegionN.4 Investment by Application AreasN.5 Major Investment Trends

O. Real-World Applications of AI: Case Studies and ExamplesO.1 Deepfake DetectionO.2 Image RecognitionO.3 Estimation of Human PoseO.4 Semantic SegmentationO.5 Embodied VisionO.6 Computer Vision - Video AnalysisO.7 SuperGLUEO.8 Stanford Question Answering Dataset (SQuAD)O.9 OpenAI and ChatGPTO.10 Speech RecognitionO.11 Automatic Translation

P. Strategic RecommendationsP.1 Market Entry StrategiesP.2 Growth StrategiesP.3 Partnerships and CollaborationsP.4 Technology Trends that are Advancing AIP.4.5 Internet of Thing (IoT)P.5 Dealing with AI Bias

Q. Global Artificial Intelligence Industry: Market OutlookQ.1 Global Market OutlookQ.2 Future ApplicationsQ.3 Future AI Market Trends to Watch Out For

R. Global Artificial Intelligence Industry: Competitive LandscapeR.1 Competition in the IndustryR.2 Major Industry Players

For more information about this report visit https://www.researchandmarkets.com/r/7in3dg

About ResearchAndMarkets.comResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

Originally posted here:
Global Artificial Intelligence (AI) Industry Report 2023-2026: Economic Impact of AI, Productivity Gains from AI, Increase in Consumer Demand, Job...

Read More..
Posted in Artificial Intelligence | Leave a Comment

Yorick Wilks obituary – The Guardian

June 11, 2023 | Author: admin

Artificial intelligence (AI)

Computer scientist and pioneer of natural language processing teaching AI to communicate

The artificial intelligence tools we use today, including Siri, Google Translate or ChatGPT, would not exist if pioneers such as the computer scientist Yorick Wilks had not helped to establish the field of natural language processing: teaching computers to interpret, generate and translate human language. Crucial to Wilkss research and career progression was his experience in Stanford, California, where he worked in the lab of the AI pioneer John McCarthy in the 1970s.

Wilks, who has died aged 83, undertook work in computational linguistics, machine translation and AI more broadly. One of his achievements was the development of the preference semantics model, a technique for representing the meaning of words and phrases by considering their context and usage in natural language texts. This approach has found extensive use in automated question-answering systems such as chatbots.

In 1997 Wilks served as the chief researcher of the group led by the British chess player and computer expert David Levy that won the Loebner prize for machine dialogue, awarded to the most human-like conversational computer program. Their chatbot, Catherine, was designed to mimic the conversational style of an English journalist. Wilks recalled: We made her British because, if she made any mistakes in New York [where the competition was judged that year], they might think its because she was British.

In his later research, Wilks delved into the concept of artificial companions: conversational agents designed to interact with elderly people or other isolated individuals using speech, learning their tastes and habits, or reminding them of their medications. He later imagined that chatbots and other digital companions could use AI to mimic the voice and learn the memories of people in order to impersonate them. This could even enable relatives to interact with their loved ones after their death. Conscious of the ethical implications of AI, Wilks discussed the issue in a series of public lectures in 2018-20, when he was visiting professor of AI at Gresham College, London.

Yorick was born in Gerrards Cross, Buckinghamshire, where his mother, Peggy (nee Weinel), was staying at the time, a few weeks after the second world war began, but he grew up in Edmonton, north London. Peggy worked as a hotelier, chef and aircraft inspector, and his father, Alexander Wilks, was a carpenter and joiner. Yorick was 11 when his father died. The family then moved to Devon; Yorick was educated at Torquay boys grammar school, and won a scholarship to study physics at Pembroke College, Cambridge, in 1958.

He later changed his programme of study, first to mathematics and then to philosophy, entering the circle of Margaret Mastermans epiphany philosophers, who focused on the relationship between science and religion, and working in the Cambridge Language Research Unit on early programs to do syntax analysis and text extraction.

During his Cambridge years Wilks developed a talent for theatre and a passion for politics. Later in life he continued to perform in amateur theatre and to be an active commentator on politics and public affairs, sparing no wing of any party from criticism. He became a member of the Reform Club in central London in 2007, and served as an adviser on AI-related issues to the Centre for Policy Studies.

In 1966 he left Cambridge for Los Angeles, thanks to a job which enabled him to work on more advanced computers. After the end of his contract, he stayed in California, supporting himself by playing a small part as a comedian in a TV show, while writing his PhD dissertation and getting his doctorate from Cambridge in 1968. The following year he became a research associate in the Stanford Artificial Intelligence Laboratory, where he worked on machine translation programs.

In 1974 he moved back to Europe, joining the Dalle Molle Institute for Semantic and Cognitive Studies in Lugano, Switzerland, a centre for the application of AI to linguistics and automated translation. The focus of his research then shifted to belief systems: how humans need a model of the beliefs of another person in order to communicate with them.

After a short period at the University of Edinburgh, in 1976 he moved to the University of Essex where he eventually became professor of linguistics and computer science, working on the large-scale Eurotra machine translation project. Wilks spoke French, German, Italian, Spanish, Swahili and Japanese.

In 1985 he moved back to the US to head the computing research lab at New Mexico State University, Las Cruces, where he worked on the development of a state-funded AI laboratory, doing early work on information extraction systems. In 1998 he became head of the department of computer science at the University of Sheffield, where he had started working in 1993 as professor of AI.

Wilks continued his professional relations with the US after moving to Oxford in 2003 and leading the large EU-funded Companions project at the Oxford Internet Institute; at the age of 70 he joined the Florida Institute for Human and Machine Cognition, where he established a new AI group to research cybersecurity, and belief and emotion propagation in groups how, for instance, changes in ways of thinking can be detected in the use of language on social media platforms. He had recently completed a final book, Artificial Intelligence and God, to be published by Oxford University Press.

Wilkss work was recognised by awards including the lifetime achievement award of the Association for Computational Linguistics, and, in 2009, the Lovelace medal of the British Computer Society.

Wilks is survived by his third wife, Roberta Catizone, a fellow researcher in AI, whom he married in 1993, and their children, Octavia and Zoe; by two children, Seth and Claire, from his second marriage, to Geraldine de Berly, which ended in divorce; by two grandchildren; and by his brother, Leif. His first wife, Felicity Ann Snee, a doctor, died in the 1970s.

Yorick Alexander Wilks, computer scientist, born 27 October 1939; died 14 April 2023

{{topLeft}}

{{bottomLeft}}

{{topRight}}

{{bottomRight}}

{{.}}

Read more:
Yorick Wilks obituary - The Guardian

Read More..
Posted in Artificial Intelligence | Leave a Comment

Australian retail giants and police using artificial intelligence software Auror to catch repeat shoplifters – ABC News

June 11, 2023 | Author: admin

Artificial intelligence (AI) is now part of everyday life in the modern world, even if we don't always know when and where.

While AI platforms like ChatGPT, Siri and Alexa are among the most well-known, major Australian retailers like Woolworths and Bunnings are also using AI, in the form of software called Auror.

Could not display Instagram

Auror chief executive Phil Thomson says the software is used to catch shoplifters.

"There are different tools that a retailer can choose to use," he says.

"So, with an image, once that's uploaded into the platform, that can then be referenced across crimes reported today, to see if it's the same person who's committed those other offences."

Mr Thomson says the AI is powerful enough to spot crime and send alerts to security staff in real-time but only if it detects wrongdoing.

"For a general customer, they would have no interaction with Auror at all, so they wouldn't be impacted by it," he says.

Retailers have been experimenting with AI and facial recognition for a few years.

Bunnings and Kmart are currently being investigated by Australia's privacy watchdog for their use of another facial recognition software application.

But Mr Thompson says Auror works differently.

"We're not doing live facial recognition; it doesn't reference any parts of the internet at all," he says.

"This is just the information that's already been captured for a crime event that's happened in a store."

But emerging technologies expert Nicholas Davis, from the University of Technology Sydney,says retailers' use of AI could still be of concern, due to a lag in privacy laws.

"We don't have some of the nuance or the specifics about particularly sensitive types of data or combinations of datalike your license plate, plus what you've bought at the supermarket, plus which aisle you visited," Professor Davis says.

"The combinations of those things can be really important to someone. And yet retailers are using that kind of information all the time for different purposes, particularly for marketing.

"Retailers that are tracking you in store, when that reveals who you are or other aspects of you and then is shared outside that organisation that can be a breach of the Privacy Act."

Ultimately, the onus of privacy is on retailers rather than a software company.

"We're probably about 20 years behind where Europe and other countries are in terms of the rights that we have as consumers with regard to our private information,"Professor Davis says.

Organised retail crime, as well as petty shoplifting, is thought to be worth millions of dollars a day.

Criminal gangs often work across multiple retailers to steal certain items for resale.

In theory, Coles and Woolworths could use Auror to work together to catch a group of shoplifters, using the AI across a bigger data set.

"This information that's being captured by retailers isn't new, but they're just making it much easier to identifythe repeat people who are targeting them," Mr Thomson says.

Auror says it works with police around the country to help retailers provide evidence to investigators.

In 2020, the Australian Federal Police admitted that staff had trialled the controversial software Clearview AI, which "scrapes"images of people from social media and other parts of the internet.

The privacy commissioner later found the AFP had failed to comply with its privacy obligations in using the tool, and the US company had breached Australians' privacy.

But the ACT's Chief Police Officer Neil Gaughan says Auror is used in a different way.

"It basically is a substitute for what we would normally do in relation to going to a business and collecting the CCTV," he says.

"We're not using the AI or facial recognition capability, it's basically read-only for us."

It may save some legwork, but Deputy Commissioner Gaughan says it doesn't eliminate old-fashioned police work.

"It'd be very, very unusual for someone to go on a spree of shoplifting that isn't known to my officers," he says.

"The [Auror] vision has a photograph of someone who's allegedly committed a crime.

"Our officers then use their local knowledge and expertise to determine who that person is."

NSW Police says it usesAuror in a similar way.

"NSWPF has access to the Auror system and uses it for collecting intelligence relating to retail crime", it said in a statement.

While police may currently be on the receiving end of an AI product, Deputy Commission Gaughan says that is likely to change.

"The ability to use facial recognition to identify people involved in a serious crimeno doubt will happen.

"When we first started using DNA, many people thought that was the end of the world as weknew it.

"Now the courts accept it when it's done properly."

Here is the original post:
Australian retail giants and police using artificial intelligence software Auror to catch repeat shoplifters - ABC News

Read More..
Posted in Artificial Intelligence | Leave a Comment

10-year-old becomes first female National Master in PH – The Manila Times

June 11, 2023 | Author: admin

For the first time in Philippine chess history, the title of National Master has been given to a female player.

Grandmaster Jayson Gonzales, chief executive officer of the National Chess Federation of the Philippines, confirmed in a social media post on Saturday that the NCFP has bestowed the title of National Master to 10-year-old Nika Juris Nicolas of Pasig City.

The National Master, a title given solely by the national sports association of chess, is usually conferred to male players who compete in open tournaments dominated by males.

Its female counterpart, the Woman National Master title, is given to female chess players who dominate the distaff side of the competition.

Nicolas, however, competes in the boys and open divisions and, more often than not, prevails.

She was the only female who competed in the under-11 boys division when she topped the national eliminations for the 2023 NCFP National Youth and Schools Chess Championships held in Himamaylan City, Negros Occidental from March 24 to 27.

At the grand finals of the same event for boys held in Dapitan City, Zamboanga del Norte from June 2 to 9, Nicolas was the only player in her division to win medals in all three events: a silver in standard chess, a silver in blitz, and a bronze in rapid.

Because of her success in the tournaments and her breaking the gender barrier, the NCFP has awarded her the title of National Master.

Traditionally, the chess titles conferred to men are higher in value than those given to women. In fact, the world chess federation requires higher FIDE rating thresholds compared to their female equivalents when awarding chess titles such as Grandmaster, International Master, FIDE Master, and Candidate Master.

Nicolas, at her age, is now seen as the brightest future of Philippine chess.

She is set to compete in Asean Age-Group Chess Championships in Bangkok, Thailand slated from June 17 to 27, 2023 where she also aims for the Woman FIDE Master title.

She is also slated to play in the 1st Professional Chess Association of the Philippines (PCAP) National Interschool Championship slated next month. She will play for the VCIS-Homeschool Global Chess Team along with Woman National Master Antonella Berthe Racasa, Gabriel Ryan Paradero, Andrew Toledo and Aron Toledo. Team coach is Robert Racasa.

Her parents, lawyers Nikki and Krisanto, are proud of the achievements of their daughter despite the odds and thrilled of what she can accomplish in the future.

"Such feat is not without pain, losses and sacrifices," said Nikki.

"Baby Nika would only have a day of rest before she had to fly to another tournament for the past month. More than that, she suffered many losses along the way. Undeterred by all these challenges, she courageously played in Dapitan City and performed well."

Here is the original post:
10-year-old becomes first female National Master in PH - The Manila Times

Read More..
Posted in Chess | Leave a Comment

Tesla’s stock rises toward 11th straight gain as company seen ‘playing chess while others are playing checkers’ – MarketWatch

June 11, 2023 | Author: admin

Published: June 9, 2023 at 6:53 a.m. ET

Tesla Inc.s stock was on track to rise for the 11th straight session as the company won praise for its move to ink a charging agreement with rival General Motors Co.

Shares of Tesla TSLA were up 4% in Fridays premarket action, following the announcement that owners of GM GM vehicles would be able to access 12,000 Tesla Superchargers in North America. That arrangement would mirror a similar one between Tesla and Ford Motor Co. F that was inked earlier.

Teslas...

Tesla Inc.s stock was on track to rise for the 11th straight session as the company won praise for its move to ink a charging agreement with rival General Motors Co.

Shares of Tesla TSLA were up 4% in Fridays premarket action, following the announcement that owners of GM GM vehicles would be able to access 12,000 Tesla Superchargers in North America. That arrangement would mirror a similar one between Tesla and Ford Motor Co. F that was inked earlier.

Teslas openness to allowing competitors onto its network shows the company is playing chess while others are playing checkers, according to Wedbush analyst Daniel Ives, as he lifted his price target on the stock to $300 from $215 and added the name to Wedbushs best ideas list.

See also: Tesla Model 3s now qualify for $7,500 in federal tax credits

For Tesla, we believe this is a large monetization opportunity for the company in its supercharger story, adding to its growing sum-of-the-parts valuation that we now peg at $300 per share with its developing energy business along with its well-established EV machine, Ives wrote in his note to clients.

By his math, Ford and GM in aggregate could contribute another $3 billion to Teslas EV charging revenue over the next few years.

Read: U.S. car sales are stronger than a year ago, but rising interest rates could hit demand

Tesla shares were tracking toward a rally for the 11th trading session in a row, which would mark the companys longest winning streak since Jan. 8, 2021, when it advanced for 11 straight trading days, according to Dow Jones Market Data. Teslas stock has increased 27.4% over its current 10-session streak of regular-session gains.

The arrangement with Tesla made sense for GM too, according to Ives. This was a smart partnership by GM and Barra as the Detroit stalwart is laying the foundation for a successful EV transformation over the next decade, he wrote in his note to clients. GMs stock was up more than 3% premarket Friday.

Dont miss: Rivian stock has clear opportunity to pull ahead, Barclays says

And as for Tesla, Ives saw other positive developments on the horizon, writing that the company looks on pace to meet its delivery target for 1.8 million units this year, and should be able to do it with a margin story that troughs over the next 1-2 quarters and ramps back up into fiscal 2024. Plus, the companys Nevada battery production could represent a strategic advantage for the company, and the forthcoming Cybertruck launch could help growth.

See also: ChargePoint, EVgo stocks fall after Tesla and GM ink charging deal

View post:
Tesla's stock rises toward 11th straight gain as company seen 'playing chess while others are playing checkers' - MarketWatch

Read More..
Posted in Chess | Leave a Comment

Ukrainian Grandmaster Vadim Malakhatko (1977-2023) dies at the age of 46 – ChessBase

June 11, 2023 | Author: admin

Vadim Malakhatko, born on 22 March 1977 in Kyiv, then in the Soviet Union, learnt chess as a child and was a pupil at the Avantgard chess school in Kyiv. His coach was Alexei Kosikov. In 1997 Malakhatko became the U20 champion of Ukraine. In 1999 he won the Kyiv City Championship and became a Grandmaster. In 2004 he won the Kyiv championship for the second time.

After leaving school, Malakhatko studied at the Kyiv Institute of Physical Education. In 2000 he was called up to the Ukrainian national team for the Chess Olympiad in Istanbul and won bronze with the Ukrainian team behind Russia and Germany. The following year he won the gold medal with the Ukrainian team at the World Team Championship in Yerevan.

Malakhatko has taken part in a large number of tournaments during his career and won a lot of them, mainly open tournaments, including Pic d'Anie 2004, La Fre Open 2004, FE Open in Bergamo 2004, Bad Zwesten Chess Days 2005, ZMD Open 2005, Perla Baltiku tournament in Mielno 2005, the Hilton tournament in Basel 2006 and 2007, the International Master Tournament in Bruges 2006, the Coppa Citta' die Monti in Sardinia 2006, the Politiken Cup 2006, Hastings 2008, the North Sea Cup 2008, furthermore the GM tournament Panevezys 2008, the Arcapita International in Manama 2009 and the 17. Fajr International in Kisch.

Vadim Malakhatko with his cups

In 2006 he was also runner-up in the European Rapid Chess Championship.

Malakhatko has played for various teams in Ukraine, France, Germany and Spain. Disappointed with the Ukrainian Chess Federation, he moved to the Belgian Chess Federation in 2007, and won the Belgian team championship in 2008 with his Club Bredene. In 2009 he was number on Belgium's ranking. Malakhatko reached his highest rating in October 2008 with Elo 2633.

Malakhatko was married to Ukrainian Grandmaster Anna Zozulia.

At an Ukrainian junior tournament in Kyiv

Malakhatko was found dead of a heart attack in his Kyiv apartment on 5 June. The funeral took place on 7 June at the Balkove cemetery in Kyiv.

Chess despite the war: The Anfield Cup in Kyiv

View post:
Ukrainian Grandmaster Vadim Malakhatko (1977-2023) dies at the age of 46 - ChessBase

Read More..
Posted in Chess | Leave a Comment

Tesla Is ‘Playing Chess’ While Others Play Checkers. The Stock Keeps Rising. – Barron’s

June 11, 2023 | Author: admin

Coming into Friday trading, Tesla stock had risen for 10 consecutive days. It looks like 11 is a foregone conclusion. mainly because of a big deal, but Wall Street is helping too.

Tesla was up about 6% at $248.88 in midday trading, while the S&P 500 and Nasdaq Composite had risen about 0.2% and 0.3%, respectively.

The electric-vehicle company is the most active stock in the S&P today and the indexs biggest gainer.

An 11-day series of gains would be the longest since January 2021, according to Dow Jones Market Data. As Bespoke Investment Group points out, 11 days is the longest run on record. Shares have risen about 36% in the current upswing.

Shares of Tesla shot up Thursday evening after General Motors (GM) and Tesla announced an agreement that will have GMs electric-vehicle drivers charging at Teslas supercharger network. Its similar to a deal Tesla struck with Ford (F). RBC analyst Tom Narayan wrote Thursday he expects a similar announcement from Stellantis (STLA).

Advertisement - Scroll to Continue

More EVs at Tesla chargers means more revenue for Tesla. The deal brings the sum-of-the-parts, or SOTP, valuation further into play, wrote Wedbush analyst Dan Ives in a report Friday. SOTP valuations are one way to value a company. They look to see if the value of different businesses inside a company implies a higher, or lower, stock price.

In the case of Tesla, it sells cars, solar roofs, battery storage products, autonomous driving software, insurance, and, of course, it operates a large network of EV-charging stations.

Ives raised his Tesla stock price target up about 40% to $300 a share from $215. He still rates shares Buy. In a nutshell, Musk and Tesla are playing chess while other automakers are playing checkers in this broader EV green tidal wave, he wrote. We are also adding Tesla to the Wedbush Best Ideas List this morning as the Street starts to better recognize the underlying value in the Tesla EV ecosystem into 2024 and beyond.

Advertisement - Scroll to Continue

With the change, the average analyst price has risen a couple of dollars to $194 a share. Tesla stock is at almost $250 a share. Thats well beyond the average target price. It happened fast. A couple of weeks ago, Tesla stock was trading for about $185. Including Fridays early gains, Tesla stock has jumped about 37% over the past 11 trading days.

Just under half, or 49%, of analysts covering the stock rate shares at Buy. The average Buy-rating ratio for stocks in the S&P 500 is about 53%.

No one has downgraded Tesla stock lately, but CFRA analyst Garrett Nelson is slightly less enthusiastic about the stock than he had been. He lowered his rating to Buy from Strong Buy Friday, reflecting that the stock has risen a lot lately.

The move was a little like when other brokers remove a name from a conviction Buy or top pick list but continue to recommend the shares. The GM and Ford

Advertisement - Scroll to Continue

Write to Al Root atallen.root@dowjones.com

Here is the original post:
Tesla Is 'Playing Chess' While Others Play Checkers. The Stock Keeps Rising. - Barron's

Read More..
Posted in Chess | Leave a Comment

Players share points in chess tournament – Times of India

June 11, 2023 | Author: admin

Kanpur: All top seeded players struggled hard and shared points with their rivals in the fourth round of the state senior women chess championship being held at the Doon International School. Earlier in the third round, they had won their ties and added one full point in their table.Top seeded Riya Mishra of Ballia faced a tough challenge from Sanchita Yadav of Prayagraj. The two displayed attacking play and later agreed to share points. Third seeded Tanya Verma of Kanpur got a stiff challenge from Sanvi of Lucknow and they split the point after 35 moves. Two Prayagraj players Arohi Yadav and Priya Yadav faced each other on the third board, Priya after the 49th move offered a draw which was accepted by Arohi . Earlier in the morning, Jai Bajaj, secretary KCA, met with the players in the morning and encouraged them. Amarjeet Singh, manager of the host school, welcomed and presented a memento to him. The final rounds will be held on Saturday and prize distribution will take place around 1 pm, said Dilip Srivastava.Point position after 4 rounds 3.5 points-Sanchita Yadav (Prayagraj), Riya Mishra (Ballia), Sanvi Agarwal (Lucknow), Tanya Verma (Kanpur), Arohi Yadav (Prayagraj). 3 points-Ananya Srivastava, Sakshi Verma, Sumukhi Shukla, Anushka Gupta (all Kanpur), Ayushi Jaiswal, Smridhi Tiwari (both Varanasi), Nisha Bhushan (Unnao).

View post:
Players share points in chess tournament - Times of India

Read More..
Posted in Chess | Leave a Comment

How Could AI Destroy Humanity? – The New York Times

June 11, 2023 | Author: admin

Last month, hundreds of well-known people in the world of artificial intelligence signed an open letter warning that A.I. could one day destroy humanity.

Mitigating the risk of extinction from A.I. should be a global priority alongside other societal-scale risks, such as pandemics and nuclear war, the one-sentence statement said.

The letter was the latest in a series of ominous warnings about A.I. that have been notably light on details. Todays A.I. systems cannot destroy humanity. Some of them can barely add and subtract. So why are the people who know the most about A.I. so worried?

One day, the tech industrys Cassandras say, companies, governments or independent researchers could deploy powerful A.I. systems to handle everything from business to warfare. Those systems could do things that we do not want them to do. And if humans tried to interfere or shut them down, they could resist or even replicate themselves so they could keep operating.

Todays systems are not anywhere close to posing an existential risk, said Yoshua Bengio, a professor and A.I. researcher at the University of Montreal. But in one, two, five years? There is too much uncertainty. That is the issue. We are not sure this wont pass some point where things get catastrophic.

The worriers have often used a simple metaphor. If you ask a machine to create as many paper clips as possible, they say, it could get carried away and transform everything including humanity into paper clip factories.

How does that tie into the real world or an imagined world not too many years in the future? Companies could give A.I. systems more and more autonomy and connect them to vital infrastructure, including power grids, stock markets and military weapons. From there, they could cause problems.

For many experts, this did not seem all that plausible until the last year or so, when companies like OpenAI demonstrated significant improvements in their technology. That showed what could be possible if A.I. continues to advance at such a rapid pace.

A.I. will steadily be delegated, and could as it becomes more autonomous usurp decision making and thinking from current humans and human-run institutions, said Anthony Aguirre, a cosmologist at the University of California, Santa Cruz and a founder of the Future of Life Institute, the organization behind one of two open letters.

At some point, it would become clear that the big machine that is running society and the economy is not really under human control, nor can it be turned off, any more than the S&P 500 could be shut down, he said.

Or so the theory goes. Other A.I. experts believe it is a ridiculous premise.

Hypothetical is such a polite way of phrasing what I think of the existential risk talk, said Oren Etzioni, the founding chief executive of the Allen Institute for AI, a research lab in Seattle.

Not quite. But researchers are transforming chatbots like ChatGPT into systems that can take actions based on the text they generate. A project called AutoGPT is the prime example.

The idea is to give the system goals like create a company or make some money. Then it will keep looking for ways of reaching that goal, particularly if it is connected to other internet services.

A system like AutoGPT can generate computer programs. If researchers give it access to a computer server, it could actually run those programs. In theory, this is a way for AutoGPT to do almost anything online retrieve information, use applications, create new applications, even improve itself.

Systems like AutoGPT do not work well right now. They tend to get stuck in endless loops. Researchers gave one system all the resources it needed to replicate itself. It couldnt do it.

In time, those limitations could be fixed.

People are actively trying to build systems that self-improve, said Connor Leahy, the founder of Conjecture, a company that says it wants to align A.I. technologies with human values. Currently, this doesnt work. But someday, it will. And we dont know when that day is.

Mr. Leahy argues that as researchers, companies and criminals give these systems goals like make some money, they could end up breaking into banking systems, fomenting revolution in a country where they hold oil futures or replicating themselves when someone tries to turn them off.

A.I. systems like ChatGPT are built on neural networks, mathematical systems that can learn skills by analyzing data.

Around 2018, companies like Google and OpenAI began building neural networks that learned from massive amounts of digital text culled from the internet. By pinpointing patterns in all this data, these systems learn to generate writing on their own, including news articles, poems, computer programs, even humanlike conversation. The result: chatbots like ChatGPT.

Because they learn from more data than even their creators can understand, these systems also exhibit unexpected behavior. Researchers recently showed that one system was able to hire a human online to defeat a Captcha test. When the human asked if it was a robot, the system lied and said it was a person with a visual impairment.

Some experts worry that as researchers make these systems more powerful, training them on ever larger amounts of data, they could learn more bad habits.

In the early 2000s, a young writer named Eliezer Yudkowsky began warning that A.I. could destroy humanity. His online posts spawned a community of believers. Called rationalists or effective altruists, this community became enormously influential in academia, government think tanks and the tech industry.

Mr. Yudkowsky and his writings played key roles in the creation of both OpenAI and DeepMind, an A.I. lab that Google acquired in 2014. And many from the community of EAs worked inside these labs. They believed that because they understood the dangers of A.I., they were in the best position to build it.

The two organizations that recently released open letters warning of the risks of A.I. the Center for A.I. Safety and the Future of Life Institute are closely tied to this movement.

The recent warnings have also come from research pioneers and industry leaders like Elon Musk, who has long warned about the risks. The latest letter was signed by Sam Altman, the chief executive of OpenAI; and Demis Hassabis, who helped found DeepMind and now oversees a new A.I. lab that combines the top researchers from DeepMind and Google.

Other well-respected figures signed one or both of the warning letters, including Dr. Bengio and Geoffrey Hinton, who recently stepped down as an executive and researcher at Google. In 2018, they received the Turing Award, often called the Nobel Prize of computing, for their work on neural networks.

Follow this link:
How Could AI Destroy Humanity? - The New York Times

Read More..
Posted in Deep Mind | Leave a Comment

The True Story Behind Apple TV+’s ‘The Crowded Room’ | Time – TIME

June 11, 2023 | Author: admin

After a shooting takes place outside New York Citys Rockefeller Center, the investigation that follows unearths secrets buried deep inside the mind of the young man accused of the violent crime, Danny Sullivan (Tom Holland), in Apple TV+s new limited series The Crowded Room.

Set in 1979, the 10-episode psychological thriller is told through a series of interviews with a professor who is brought in to interrogate Danny, Rya Goodwin (Amanda Seyfried). The first three episodes of the show are set to premiere on June 9, with a new episode dropping every Friday through July 28.

Created by Akiva Goldsman, the Oscar-winning screenwriter of A Beautiful Mind, The Crowded Room is inspired by the true story documented in Daniel Keyes 1981 non-fiction novel The Minds of Billy Milligan. Keyes book chronicles the life and trial of Milligan, the first defendant to ever be found not guilty due to dissociative identity disorder (previously called multiple personality disorder).

While the series borrows from Milligans case, its not a straight adaptation of real-life events. For me, it was about really creating empathyto create a character that you would really ally with, Goldsman told Entertainment Weekly of Hollands role. That you would feel connected to and so his journey would become the audiences journey.

Heres what to know about the real man who inspired The Crowded Room.

Tom Holland in The Crowded Room

Apple TV+

In 1977, 22-year-old William Billy Stanley Milligan was arrested for the kidnapping, robbery, and rape of three women around the Ohio State University campus area. While undergoing a psychiatric evaluation following his arrest, Milligan insisted that a man named Ragen was responsible for the robberies while a woman named Adalana had committed the rapes.

By the time his case went to trial, doctors had determined that Ragen and Adalana were two of 10 alternate personalities that existed within Milligans mind as a result of severe physical and sexual abuse he had allegedly suffered at the hands of his stepfather, Chalmer Milligan, as a child. He was later diagnosed with an additional 14 identities.

In December 1978, Milligan was acquitted of his crimes by reason of insanity caused by dissociative identity disorder. The court decision was the first of its kind and remains controversial to this day. Netflix previously released a docuseries exploring Milligans life, Monsters Inside: The 24 Faces of Billy Milligan, in 2021.

After being found not guilty, Milligan was institutionalized in state-run psychiatric hospitals for several years. On July 4, 1986, he escaped from Central Ohio Psychiatric Hospital and relocated to Bellingham, Wash., under the alias Christopher Carr. He left Washington state a few months later after his roommate, whom he was suspected of murdering, disappeared. He was picked up by police in Florida soon after and returned to an Ohio psychiatric hospital.

Milligan was ultimately discharged from the hospital in 1988 after psychiatrists concluded that his many personalities had fused into one harmless one as a result of therapy and he was no longer a danger to society, He subsequently underwent outpatient mental treatment before being released from all state supervision in August 1991.

In 2014, he died of cancer at the age of 59 at a hospital in Columbus, Ohio.

More Must-Reads From TIME

Write to Megan McCluskey at megan.mccluskey@time.com.

Originally posted here:
The True Story Behind Apple TV+'s 'The Crowded Room' | Time - TIME

Read More..
Posted in Deep Mind | Leave a Comment