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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

See the rest here:
Global Edge Artificial Intelligence Chips Market to Reach $16.7 Billion by 2030 - Yahoo Finance

invest in ai

Artificial intelligence has become one of the most talked about technologies over the past few years. Many see AI with large dollar signs in their eyes. However, every new technology has a lag between invention and commodification and just as every new technology has the risk that it wont pan out. For investors, this poses a challenge. While the risks are real so, too, are the opportunities. So, for a technology that is still effective in the drumroll phase, how can you invest? Here are a few ideas. For more personalized investment advice, consider working with a financial advisor.

Artificial Intelligence Industry

Artificial intelligence has not yet been truly monetized. Now, theres a lot to unpack in that statement. For starters, tech companies have been integrating AI into their software for a generation and making tons of money off it. From autocorrect to playlists to the monsters in World of Warcraft, companies have been profiting off software decision-making for a long time.

The new AI, however, is a different thing entirely. The news-making artificial intelligence has come in the form of predictive algorithms like ChatGPTs chatbot software and DALL-Es image generator. These tools remain experimental. They are inventions and innovations but, at the time of writing, not yet products. Part of that is because engineers still arent quite sure what they are yet.

Advocates say that current AI software represents a fundamentally new tool, one that will change the way we interact with information and each other. Critics argue that they are just high-volume autocorrects, machines best suited for reorganizing existing work at best and stealing it at worst, but incapable of creating new value.

In both cases, monetization is a challenge. If tools like ChatGPT represent a true leap forward, then companies will need some time to figure out their commercial use. If, instead, they fundamentally rely on copying and pasting the work of others, then they may be more novelty than revolution.

Story continues

However, that doesnt mean that there arent opportunities to invest and profit yourself. Here are some of the best ways you can benefit financially from the early stages of AI development.

If youre ready to be matched with local advisors that can help you achieve your financial goals, get started now.

Invest In Individual Stocks Like Google and Microsoft

Alphabet (GOOG), or Google, and Microsoft (MSFT), which kept its maiden name, are some of the earliest companies racing for commercial AI applications. In both cases, their goal is to search. Both companies want to turn their search engines into a conversational source of inquiry, analysis and advice.

Instead of searching for information by a string of keywords, you would just ask the search engine questions and it would pop out the answer based on whats out there on the web. In this way, AIs best and worst qualities align with the business model of search. The goal is to paraphrase articles like this onto Google/Microsoft sites, so those companies can collect the ad revenue without having to pay for the work.

Googles Bard AI remains experimental and, true to the products core design, Bings AI search remains underwhelming. However, both companies hope to make this a major product at some point in the future.

This is a theme that applies broadly: Invest in companies that are will use AI in their products. As currently designed, AI will most likely be a backend feature in an enormous range of technology products. So, for example, while your phone is the front-end product, meaning the product you directly interact with, AI will become part of the back-end, meaning one of the many moving pieces that make your phone work.

Look for companies that can use AI in their products. Invest in them directly, so that you can collect their gains from this new technology.

Use Robo-Traders

invest in ai

Robo-traders have emerged as a major section of the market and for a good reason.

A robo-trader is a company that offers algorithmically managed portfolios. In essence, you invest your money according to a series of goals or conditions that you establish, then the brokerage manages that portfolio based on its own software model. These have shown particularly good results for investors because they tend to seek long-term investments, which tend to outperform short-term and high-volume trading.

Artificial intelligence has the potential to improve this further. Investors are already experimenting with AI-built portfolios and investment strategies. This trend will only continue to grow and the companies that build their portfolios with AI from the ground up will stand to benefit significantly.

Invest In AI Funds

As with all industries, an excellent way to invest in AI is through relevant funds. In fact, theres something of a gold rush on artificial intelligence ETFs right now. The market is filled with companies that are looking to capitalize on companies that operate in or around this technology.

For an investor, this is both an opportunity and a problem. The opportunities are out there, but how do you identify good investments? One good approach is to start by deciding how you want to invest in AI. There are ETFs, for example, such as Global X Robotics & Artificial Intelligence ETF (BOTZ) and ROBO Global Robotics and Automation Index ETF (ROBO), among others that let you invest in this market.

These funds invest in stocks and assets that support AI, such as companies that make the chips and hardware that AI companies depend on. Other funds will try to invest directly, buying into companies that are developing AI software itself, while others will invest in the companies that will use AI in their own products.

The best place to start with an AI-related fund is to look at how it invests. That will help you figure out if this is something youre interested in.

The Bottom Line

invest in ai

Artificial intelligence could very well be the next big boom. However, it can be difficult to determine the right areas that could make strong investments. Both directly and indirectly, AI might present plenty of opportunities that you can profit from. Finding the right one for you will depend on a number of factors including your expectation of risk.

Technology Investment Tips

Investing in any new technology is a risk. When it pays off, it can pay off big, but there are no guarantees. A financial advisor can help you determine the best investment plan for you when it comes to AI. Finding a financial advisor doesnt have to be hard.SmartAssets free tool matches you with up to three vetted financial advisors who serve your area, and you can interview your advisor matches at no cost to decide which one is right for you. If youre ready to find an advisor who can help you achieve your financial goals, get started now.

Finance and technology go hand-in-hand and the industry dedicated to that idea is called fintech. Its important to fully understand how the industry operates if youre wanting to invest.

Photo credit: iStock.com/Thai Liang Lim, iStock.com/Laurence Dutton, iStock.com/imaginima

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