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Cooper is a professor of law at California Western School of Law and a research fellow at Singapore University of Social Sciences. He lives in San Diego. Kompella is CEO of industry analyst firm RPA2AI Research and visiting professor for artificial intelligence at the BITS School of Management, Mumbai, and lives in Bangalore, India.

Hiring is the lifeblood of the economy. In 2022, there were 77 million hires in the United States, according to the U.S. Department of Labor. Artificial intelligence is expected to make this hiring process more efficient and more equitable. Despite such lofty goals, there are valid concerns that using AI can lead to discrimination. Meanwhile, the use of AI in the hiring process is widespread and growing by leaps and bounds.

A Society of Human Resources Management survey last year showed that about 80 percent of employers use AI for hiring. And there is good reason for the assist: Hiring is a high-stakes decision for the individual involved and the businesses looking to employ talent. It is no secret, though, that the hiring process can be inefficient and subject to human biases.

AI offers many potential benefits. Consider that human resources teams spend only 7 seconds skimming a resume, a document which is itself a one-dimensional portrait of a candidate. Recruiters instead end up spending more of their time on routine tasks like scheduling interviews. By using AI to automate such routine tasks, human resources teams can spend more quality time on assessing candidates. AI tools can also use a wider range of data points about candidates that can result in a more holistic assessment and lead to a better match. Research shows that the overly masculine language used in job descriptions puts off women from applying. AI can be used to create job descriptions and ads that are more inclusive.

But using AI for hiring decisions can also lead to discrimination. A majority of recruiters in the 2022 Society of Human Resources Management survey identified flaws in their AI systems. For example, they excluded qualified applicants or had a lack of transparency around the way in which the algorithms work. There is also disparate impact (also known as unintentional discrimination) to consider. According to University of Southern California research in 2021, job advertisements are not shown to women despite them being qualified for the roles being advertised. Also, advertisements for high-paying jobs are often hidden from women. Many states suffer a gender pay gap. When the advertisements themselves are invisible, the pay equity gap is likely not going to solve itself, even with the use of artificial intelligence.

Discrimination, even in light of new technologies, is still discrimination. New York City has fashioned a response by enacting Local Law 144, scheduled to come into effect on July 15. This law requires employers to provide notice to applicants when AI is being used to assess their candidacy. AI systems are subject to annual independent third-party audits and audit results must be displayed publicly. Independent audits of such high-stakes AI usage is a welcome move by New York City.

California, long considered a technology bellwether, has been off to a slow start. The California Workplace Technology Accountability Act, a bill that focused on employee data privacy, is now dead. On the anvil are updates to Chapter 5 (Discrimination in Employment) of the California Fair Employment and Housing Act. Initiated a year ago by the Fair Employment and Housing Council (now called the Civil Rights Department), these remain a work in progress. These are not new regulations per se but an update of existing anti-discrimination provisions. The proposed draft is open for public comments but there is no implementation timeline yet. The guidance for compliance, the veritable dos and donts, including penalties for violations, are all awaited. There is also a recently introduced bill in the California Legislature that seeks to regulate the use of AI in business, including education, health care, housing and utilities, in addition to employment.

The issue is gaining attention globally. Among state laws on AI in hiring is one in Illinois that regulates AI tools used for video interviews. At the federal level, the Equal Employment Opportunity Commission has updated guidance on employer responsibilities. And internationally, the European Unions upcoming Artificial Intelligence Act classifies such AI as high-risk and prescribes stringent usage rules.

Adoption of AI can help counterbalance human biases and reduce discrimination in hiring. But the AI tools used must be transparent, explainable and fair. It is not easy to devise regulations for emerging technologies, particularly for a fast-moving one like artificial intelligence. Regulations need to prevent harm but not stifle innovation. Clear regulation coupled with education, guidance and practical pathways to compliance strikes that balance.

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Opinion: Artificial intelligence is the future of hiring - The San Diego Union-Tribune

Sunday 30 April 2023 16:04, UK

A British scientist known for his contributions to artificial intelligence has told Sky News that powerful AI systems "can't be controlled" and "are already causing harm".

Professor Stuart Russell was one of more than 1,000 experts who last month signed an open letter calling for a six-month pause in the development of systems even more capable than OpenAI's newly-launched GPT-4 - the successor to its online chatbot ChatGPT which is powered by GPT-3.5.

The headline feature of the new model is its ability to recognise and explain images.

Speaking to Sky's Sophy Ridge, Professor Russell said of the letter: "I signed it because I think it needs to be said that we don't understand how these [more powerful] systems work. We don't know what they're capable of. And that means that we can't control them, we can't get them to behave themselves."

He said that "people were concerned about disinformation, about racial and gender bias in the outputs of these systems".

And he argued with the swift progression of AI, time was needed to "develop the regulations that will make sure that the systems are beneficial to people rather than harmful".

He said one of the biggest concerns was disinformation and deep fakes (videos or photos of a person in which their face or body has been digitally altered so they appear to be someone else - typically used maliciously or to spread false information).

He said even though disinformation has been around for a long time for "propaganda" purposes, the difference now is that, using Sophy Ridge as an example, he could ask GPT-4 to try to "manipulate" her so she's "less supportive of Ukraine".

He said the technology would read Ridge's social media presence and what she has ever said or written, and then carry out a gradual campaign to "adjust" her news feed.

Professor Russell told Ridge: "The difference here is I can now ask GPT-4 to read all about Sophy Ridge's social media presence, everything Sophy Ridge has ever said or written, all about Sophy Ridge's friends and then just begin a campaign gradually by adjusting your news feed, maybe occasionally sending some fake news along into your news feed so that you're a little bit less supportive of Ukraine, and you start pushing harder on politicians who say we should support Ukraine in the war against Russia and so on.

"That will be very easy to do. And the really scary thing is that we could do that to a million different people before lunch."

The expert, who is a professor of computer science at the University of California, Berkeley, warned of "a huge impact with these systems for the worse by manipulating people in ways that they don't even realise is happening".

Ridge described it as "genuinely really scary" and asked if that kind of thing was happening now, to which the professor replied: "Quite likely, yes."

He said China, Russia and North Korea have large teams who "pump out disinformation" and with AI "we've given them a power tool".

"The concern of the letter is really about the next generation of the system. Right now the systems have some limitations in their ability to construct complicated plans."

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Read more:What is GPT-4 and how does it improve upon ChatGPT?Elon Musk reveals plan to build 'TruthGPT' despite warning of AI dangers

He suggested under the next generation of systems, or the one after that, corporations could be run by AI systems. "You could see military campaigns being organised by AI systems," he added.

"If you're building systems that are more powerful than human beings, how do human beings keep power over those systems forever? That's the real concern behind the open letter."

Click to subscribe to the Sophy Ridge on Sunday podcast

The professor said he was trying to convince governments of the need to start planning ahead for when "we need to change the way our whole digital ecosystem... works."

Since it was released last year, Microsoft-backed OpenAI's ChatGPT has prompted rivals to accelerate the development of similar large language models and encouraged companies to integrate generative AI models into their products.

UK unveils proposals for 'light touch' regulations around AI

It comes as the UK government recently unveiled proposals for a "light touch" regulatory framework around AI.

The government's approach, outlined in a policy paper, would split the responsibility for governing AI between its regulators for human rights, health and safety, and competition, rather than create a new body dedicated to the technology.

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Artificial intelligence: Powerful AI systems 'can't be controlled' and 'are causing harm', says UK expert - Sky News

ARTIFICIAL intelligence (AI) is being used to create a Gaelic subtitle service that could be used by the BBC.

Linguists and AI researchers from Edinburgh and Glasgow universities have been awarded 225,000 by the Scottish Government to develop the system.

The funding will also help the team to begin creating a large language model which is described as being similar to ChatGPT for Gaelic.

Resources being fed into the AI system include 15,000 pages of transcribed Gaelic narrative from the School of Scottish Studies Archives, which is based at the University of Edinburgh.

The AI will also be trained using material from the Digital Archive of Scottish Gaelic (DASG), including some 30 million words from the University of Glasgows Corpas na Gidhlig and vernacular recordings from the DASGs Cluas ri Claisneachd audio archive.

William Lamb, professor of Gaelic ethnology and linguistics at the University of Edinburgh, said: This is about compiling large amounts of knowledge gleaned from Gaelic speakers in the past and returning it to Gaelic speakers, in various forms, in the present.

Roibeard Maolalaigh, professor of Gaelic at the University of Glasgow, added: This will add substantially to the development of language technology for Gaelic.

It is gratifying that DASGs resources are being deployed in this way and being further developed.

Read more news and reviews on Scottish Fields culture pages.

Plus, dont miss the May issue of Scottish Field magazine.

Original post:
Artificial intelligence to help with Gaelic subtitles - Scottish Field

Elon Musk visited Capitol Hill on Wednesday to meet with Senate Majority Leader Chuck Schumer for a discussion that focused on artificial intelligence.

Democrats and Republicans are pushing for new regulations in the tech industry to address a growing array of issues, such as generative chatbots and concerns over deep fakes and voice phishing scams.

Asked about the meeting, Musk said: It was good. We talked about the future.

Pressed for specifics, he said they spoke about "AI and the economy."

Schumer, D-N.Y., characterized it as a "good meeting."

"We talked about Buffalo. Tesla has a large plant in Buffalo. And we talked about AI, Schumer told reporters.

Schumer said this month that he had circulated a framework for rules to help the U.S. stay competitive with China on the regulatory front and put new restrictions on potentially harmful AI tools.

In a statement at the time, Schumer said, I look forward to working across the aisle, across the industry and across the country and beyond to shape this proposal and refine legislation to make sure AI delivers on its promise to create a better world.

It wasn't the first time Musk has met with lawmakers. In January, he tweeted about having met with House Speaker Kevin McCarthy, R-Calif., and Minority Leader Hakeem Jeffries, D-N.Y.

Schumer said Wednesday's meeting was the second time hes met with Musk, the first being about 10 years ago when he visited him with then Sen. Harry Reid, D-Nev., at SpaceX.

Zo Richards

Zo Richards is the evening politics reporter for NBC News.

Garrett Haake is an NBC News Capitol Hill Correspondent.

Frank Thorp V is a producer and off-air reporter covering Congress for NBC News, managing coverage of the Senate.

Original post:
Elon Musk meets with Schumer to discuss artificial intelligence - NBC News

ReportLinker

The global economy is at a critical crossroads with a number of interlocking challenges and crises running in parallel. The uncertainty around how Russia`s war on Ukraine will play out this year and the war`s role in creating global instability means that the trouble on the inflation front is not over yet.

New York, April 19, 2023 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Edge Artificial Intelligence Chips Industry" - https://www.reportlinker.com/p06031416/?utm_source=GNW Food and fuel inflation will remain a persistent economic problem. Higher retail inflation will impact consumer confidence and spending. As governments combat inflation by raising interest rates, new job creation will slowdown and impact economic activity and growth. Lower capital expenditure is in the offing as companies go slow on investments, held back by inflation worries and weaker demand. With slower growth and high inflation, developed markets seem primed to enter into a recession. Fears of new COVID outbreaks and Chinas already uncertain post-pandemic path poses a real risk of the world experiencing more acute supply chain pain and manufacturing disruptions this year. Volatile financial markets, growing trade tensions, stricter regulatory environment and pressure to mainstream climate change into economic decisions will compound the complexity of challenges faced. Year 2023 is expected to be tough year for most markets, investors and consumers. Nevertheless, there is always opportunity for businesses and their leaders who can chart a path forward with resilience and adaptability.

Global Edge Artificial Intelligence Chips Market to Reach $16.7 Billion by 2030

In the changed post COVID-19 business landscape, the global market for Edge Artificial Intelligence Chips estimated at US$4.7 Billion in the year 2022, is projected to reach a revised size of US$16.7 Billion by 2030, growing at aCAGR of 17.1% over the period 2022-2030. CPU, one of the segments analyzed in the report, is projected to record 16.1% CAGR and reach US$6.4 Billion by the end of the analysis period. Taking into account the ongoing post pandemic recovery, growth in the GPU segment is readjusted to a revised 14.8% CAGR for the next 8-year period.

The U.S. Market is Estimated at $1.4 Billion, While China is Forecast to Grow at 16.6% CAGR

The Edge Artificial Intelligence Chips market in the U.S. is estimated at US$1.4 Billion in the year 2022. China, the world`s second largest economy, is forecast to reach a projected market size of US$2.9 Billion by the year 2030 trailing a CAGR of 16.6% over the analysis period 2022 to 2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 14.6% and 13.6% respectively over the 2022-2030 period. Within Europe, Germany is forecast to grow at approximately 10.4% CAGR.

Select Competitors (Total 33 Featured)- Advanced Micro Devices, Inc- Alphabet Inc.- Apple Inc.- Arm Limited- HiSilicon(ShanghAI) Technologies CO., Limited- Intel Corporation- Mythic Ltd.- NVIDIA Corporation- Samsung Electronics Co., Ltd.- Xilinx Inc.

Read the full report: https://www.reportlinker.com/p06031416/?utm_source=GNW

I. METHODOLOGY

II. EXECUTIVE SUMMARY

1. MARKET OVERVIEWInfluencer Market InsightsWorld Market TrajectoriesImpact of Covid-19 and a Looming Global RecessionEdge Artificial Intelligence Chips - Global Key CompetitorsPercentage Market Share in 2022 (E)Competitive Market Presence - Strong/Active/Niche/Trivial forPlayers Worldwide in 2022 (E)

2. FOCUS ON SELECT PLAYERS

3. MARKET TRENDS & DRIVERS

4. GLOBAL MARKET PERSPECTIVETable 1: World Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Geographic Region - USA,Canada, Japan, China, Europe, Asia-Pacific and Rest of WorldMarkets - Independent Analysis of Annual Sales in US$ Millionfor Years 2022 through 2030 and % CAGR

Table 2: World 8-Year Perspective for Edge ArtificialIntelligence Chips by Geographic Region - Percentage Breakdownof Value Sales for USA, Canada, Japan, China, Europe,Asia-Pacific and Rest of World Markets for Years 2023 & 2030

Table 3: World Recent Past, Current & Future Analysis for CPUby Geographic Region - USA, Canada, Japan, China, Europe,Asia-Pacific and Rest of World Markets - Independent Analysisof Annual Sales in US$ Million for Years 2022 through 2030 and% CAGR

Table 4: World 8-Year Perspective for CPU by Geographic Region -Percentage Breakdown of Value Sales for USA, Canada, Japan,China, Europe, Asia-Pacific and Rest of World for Years 2023 &2030

Table 5: World Recent Past, Current & Future Analysis for GPUby Geographic Region - USA, Canada, Japan, China, Europe,Asia-Pacific and Rest of World Markets - Independent Analysisof Annual Sales in US$ Million for Years 2022 through 2030 and% CAGR

Table 6: World 8-Year Perspective for GPU by Geographic Region -Percentage Breakdown of Value Sales for USA, Canada, Japan,China, Europe, Asia-Pacific and Rest of World for Years 2023 &2030

Table 7: World Recent Past, Current & Future Analysis for ASICby Geographic Region - USA, Canada, Japan, China, Europe,Asia-Pacific and Rest of World Markets - Independent Analysisof Annual Sales in US$ Million for Years 2022 through 2030 and% CAGR

Table 8: World 8-Year Perspective for ASIC by Geographic Region -Percentage Breakdown of Value Sales for USA, Canada, Japan,China, Europe, Asia-Pacific and Rest of World for Years 2023 &2030

Table 9: World Recent Past, Current & Future Analysis for OtherProcessors by Geographic Region - USA, Canada, Japan, China,Europe, Asia-Pacific and Rest of World Markets - IndependentAnalysis of Annual Sales in US$ Million for Years 2022 through2030 and % CAGR

Table 10: World 8-Year Perspective for Other Processors byGeographic Region - Percentage Breakdown of Value Sales forUSA, Canada, Japan, China, Europe, Asia-Pacific and Rest ofWorld for Years 2023 & 2030

Table 11: World Recent Past, Current & Future Analysis forConsumer Devices by Geographic Region - USA, Canada, Japan,China, Europe, Asia-Pacific and Rest of World Markets -Independent Analysis of Annual Sales in US$ Million for Years2022 through 2030 and % CAGR

Table 12: World 8-Year Perspective for Consumer Devices byGeographic Region - Percentage Breakdown of Value Sales forUSA, Canada, Japan, China, Europe, Asia-Pacific and Rest ofWorld for Years 2023 & 2030

Table 13: World Recent Past, Current & Future Analysis forEnterprise Devices by Geographic Region - USA, Canada, Japan,China, Europe, Asia-Pacific and Rest of World Markets -Independent Analysis of Annual Sales in US$ Million for Years2022 through 2030 and % CAGR

Table 14: World 8-Year Perspective for Enterprise Devices byGeographic Region - Percentage Breakdown of Value Sales forUSA, Canada, Japan, China, Europe, Asia-Pacific and Rest ofWorld for Years 2023 & 2030

Table 15: World Recent Past, Current & Future Analysis forInference by Geographic Region - USA, Canada, Japan, China,Europe, Asia-Pacific and Rest of World Markets - IndependentAnalysis of Annual Sales in US$ Million for Years 2022 through2030 and % CAGR

Table 16: World 8-Year Perspective for Inference by GeographicRegion - Percentage Breakdown of Value Sales for USA, Canada,Japan, China, Europe, Asia-Pacific and Rest of World for Years2023 & 2030

Table 17: World Recent Past, Current & Future Analysis forTraining by Geographic Region - USA, Canada, Japan, China,Europe, Asia-Pacific and Rest of World Markets - IndependentAnalysis of Annual Sales in US$ Million for Years 2022 through2030 and % CAGR

Table 18: World 8-Year Perspective for Training by GeographicRegion - Percentage Breakdown of Value Sales for USA, Canada,Japan, China, Europe, Asia-Pacific and Rest of World for Years2023 & 2030

Table 19: World Edge Artificial Intelligence Chips MarketAnalysis of Annual Sales in US$ Million for Years 2014 through2030

III. MARKET ANALYSIS

UNITED STATESEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Statesfor 2023 (E)Table 20: USA Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Processor - CPU, GPU, ASIC andOther Processors - Independent Analysis of Annual Sales in US$Million for the Years 2022 through 2030 and % CAGR

Table 21: USA 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 22: USA Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Device Type - Consumer Devicesand Enterprise Devices - Independent Analysis of Annual Salesin US$ Million for the Years 2022 through 2030 and % CAGR

Table 23: USA 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 24: USA Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 25: USA 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

CANADATable 26: Canada Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Processor - CPU, GPU,ASIC and Other Processors - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 27: Canada 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 28: Canada Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Device Type - ConsumerDevices and Enterprise Devices - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 29: Canada 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 30: Canada Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 31: Canada 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

JAPANEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2023 (E)Table 32: Japan Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Processor - CPU, GPU, ASIC andOther Processors - Independent Analysis of Annual Sales in US$Million for the Years 2022 through 2030 and % CAGR

Table 33: Japan 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 34: Japan Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Device Type - Consumer Devicesand Enterprise Devices - Independent Analysis of Annual Salesin US$ Million for the Years 2022 through 2030 and % CAGR

Table 35: Japan 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 36: Japan Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 37: Japan 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

CHINAEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2023 (E)Table 38: China Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Processor - CPU, GPU, ASIC andOther Processors - Independent Analysis of Annual Sales in US$Million for the Years 2022 through 2030 and % CAGR

Table 39: China 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 40: China Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Device Type - Consumer Devicesand Enterprise Devices - Independent Analysis of Annual Salesin US$ Million for the Years 2022 through 2030 and % CAGR

Table 41: China 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 42: China Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 43: China 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

EUROPEEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2023 (E)Table 44: Europe Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Geographic Region -France, Germany, Italy, UK and Rest of Europe Markets -Independent Analysis of Annual Sales in US$ Million for Years2022 through 2030 and % CAGR

Table 45: Europe 8-Year Perspective for Edge ArtificialIntelligence Chips by Geographic Region - Percentage Breakdownof Value Sales for France, Germany, Italy, UK and Rest ofEurope Markets for Years 2023 & 2030

Table 46: Europe Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Processor - CPU, GPU,ASIC and Other Processors - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 47: Europe 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 48: Europe Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Device Type - ConsumerDevices and Enterprise Devices - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 49: Europe 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 50: Europe Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 51: Europe 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

FRANCEEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2023 (E)Table 52: France Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Processor - CPU, GPU,ASIC and Other Processors - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 53: France 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 54: France Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Device Type - ConsumerDevices and Enterprise Devices - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 55: France 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 56: France Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 57: France 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

GERMANYEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2023 (E)Table 58: Germany Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Processor - CPU, GPU,ASIC and Other Processors - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 59: Germany 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 60: Germany Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Device Type - ConsumerDevices and Enterprise Devices - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 61: Germany 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 62: Germany Recent Past, Current & Future Analysis forEdge Artificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 63: Germany 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

ITALYTable 64: Italy Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Processor - CPU, GPU, ASIC andOther Processors - Independent Analysis of Annual Sales in US$Million for the Years 2022 through 2030 and % CAGR

Table 65: Italy 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 66: Italy Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Device Type - Consumer Devicesand Enterprise Devices - Independent Analysis of Annual Salesin US$ Million for the Years 2022 through 2030 and % CAGR

Table 67: Italy 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 68: Italy Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 69: Italy 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

UNITED KINGDOMEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdomfor 2023 (E)Table 70: UK Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Processor - CPU, GPU, ASIC andOther Processors - Independent Analysis of Annual Sales in US$Million for the Years 2022 through 2030 and % CAGR

Table 71: UK 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 72: UK Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Device Type - Consumer Devicesand Enterprise Devices - Independent Analysis of Annual Salesin US$ Million for the Years 2022 through 2030 and % CAGR

Table 73: UK 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 74: UK Recent Past, Current & Future Analysis for EdgeArtificial Intelligence Chips by Function - Inference andTraining - Independent Analysis of Annual Sales in US$ Millionfor the Years 2022 through 2030 and % CAGR

Table 75: UK 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

REST OF EUROPETable 76: Rest of Europe Recent Past, Current & Future Analysisfor Edge Artificial Intelligence Chips by Processor - CPU, GPU,ASIC and Other Processors - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 77: Rest of Europe 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 78: Rest of Europe Recent Past, Current & Future Analysisfor Edge Artificial Intelligence Chips by Device Type -Consumer Devices and Enterprise Devices - Independent Analysisof Annual Sales in US$ Million for the Years 2022 through 2030and % CAGR

Table 79: Rest of Europe 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

Table 80: Rest of Europe Recent Past, Current & Future Analysisfor Edge Artificial Intelligence Chips by Function - Inferenceand Training - Independent Analysis of Annual Sales in US$Million for the Years 2022 through 2030 and % CAGR

Table 81: Rest of Europe 8-Year Perspective for Edge ArtificialIntelligence Chips by Function - Percentage Breakdown of ValueSales for Inference and Training for the Years 2023 & 2030

ASIA-PACIFICEdge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for2023 (E)Table 82: Asia-Pacific Recent Past, Current & Future Analysisfor Edge Artificial Intelligence Chips by Processor - CPU, GPU,ASIC and Other Processors - Independent Analysis of AnnualSales in US$ Million for the Years 2022 through 2030 and % CAGR

Table 83: Asia-Pacific 8-Year Perspective for Edge ArtificialIntelligence Chips by Processor - Percentage Breakdown of ValueSales for CPU, GPU, ASIC and Other Processors for the Years2023 & 2030

Table 84: Asia-Pacific Recent Past, Current & Future Analysisfor Edge Artificial Intelligence Chips by Device Type -Consumer Devices and Enterprise Devices - Independent Analysisof Annual Sales in US$ Million for the Years 2022 through 2030and % CAGR

Table 85: Asia-Pacific 8-Year Perspective for Edge ArtificialIntelligence Chips by Device Type - Percentage Breakdown ofValue Sales for Consumer Devices and Enterprise Devices for theYears 2023 & 2030

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Global Edge Artificial Intelligence Chips Market to Reach $16.7 Billion by 2030 - Yahoo Finance