Intel Says Newest Laptop Chips, Software Will Handle Generative AI

AI (Artificial Intelligence) letters are placed on computer motherboard in this illustration taken June 23, 2023. (Reuters)
AI (Artificial Intelligence) letters are placed on computer motherboard in this illustration taken June 23, 2023. (Reuters)
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Intel Says Newest Laptop Chips, Software Will Handle Generative AI

AI (Artificial Intelligence) letters are placed on computer motherboard in this illustration taken June 23, 2023. (Reuters)
AI (Artificial Intelligence) letters are placed on computer motherboard in this illustration taken June 23, 2023. (Reuters)

Intel said on Tuesday that a new chip due in December will be able to run a generative artificial intelligence chatbot on a laptop rather than having to tap into cloud data centers for computing power.

The capability, which Intel was expected to show during a software developer conference held in Silicon Valley, could let businesses and consumers test ChatGPT-style technologies without sending sensitive data off of their own computer. It is made possible by new AI data-crunching features built into Intel's forthcoming "Meteor Lake" laptop chip and from new software tools that the company is releasing.

Intel executives also expect to say that the company is on track to deliver a successor chip called "Arrow Lake" next year, and that Intel's manufacturing technology will rival the best from Taiwan Semiconductor Manufacturing Co, as it has promised. Intel was once the best chip manufacturer, lost the lead, and now says it is on track to return to the front.

Intel has struggled to gain ground against Nvidia in the market for the powerful chips used in data centers to "train" AI systems such as ChatGPT. Intel said Tuesday that it was building a new supercomputer that would be used by Stability AI, a startup that makes image-generating software.

But the market for chips that will handle AI work outside data centers is far less settled, and it is there that Intel aimed to gain ground on Tuesday.

Through a new version of software called OpenVINO, Intel said that developers will be able run a version of a large language model, the class of technology behind products like ChatGPT, made by Meta Platforms on laptops. That will enable faster responses from chatbot and will mean that data does not leave the device.

"You can get a better performance, a lower cost and more private AI," Sachin Katti, senior vice president and general manager of Intel's network and edge group, told Reuters in an interview.

Dan Hutcheson, an analyst with TechInsights, told Reuters that business users who are weary of handing sensitive corporate data over to third-party AI firms might be interested in Intel's approach.

"AI is still in that class of technology where you need a PhD to do it," Hutcheson said. Intel Chief Gelsinger's challenge "is to democratize it. If he can pull that off, and make it so that anyone can use it, that creates a much bigger market for chips – the chips that he makes."



KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.


Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
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Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)

Uber Technologies and Lyft are teaming up with Chinese tech giant Baidu to try out driverless taxis in the UK next year, marking a major step in the global race to commercialize robotaxis.

It highlights how ride-hailing platforms are accelerating autonomous rollout through partnerships, positioning London as an early proving ground for large-scale robotaxi services ‌in Europe.

Lyft, meanwhile, plans ‌to deploy Baidu's ‌autonomous ⁠vehicles in Germany ‌and the UK under its platform, pending regulatory approval. Both companies have abandoned in-house development of autonomous vehicles and now rely on alliances to accelerate adoption.

The partnerships underscore how global robotaxi rollouts are gaining momentum. ⁠Alphabet's Waymo said in October it would start ‌tests in London this ‍month, while Baidu ‍and WeRide have launched operations in the ‍Middle East and Switzerland.

Robotaxis promise safer, greener and more cost-efficient rides, but profitability remains uncertain. Public companies like Pony.ai and WeRide are still loss-making, and analysts warn the economics of expensive fleets could pressure margins ⁠for platforms such as Uber and Lyft.

Analysts have said hybrid networks, mixing robotaxis with human drivers, may be the most viable model to manage demand peaks and pricing.

Lyft completed its $200 million acquisition of European taxi app FreeNow from BMW and Mercedes-Benz in July, marking its first major expansion beyond North America and ‌giving the US ride-hailing firm access to nine countries across Europe.


Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
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Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights

Italy's competition authority said Monday it had fined US tech giant Apple 98 million euros ($115 million) for allegedly abusing its dominant position in the mobile app market.

According to AFP, the AGCM said in a statement that Apple had violated privacy regulations for third-party developers in a market where it "holds a super-dominant position through its App Store".

The body said its investigation had established the "restrictive nature" of the "privacy rules imposed by Apple... on third-party developers of apps distributed through the App Store".

The rules of Apple's App Tracking Transparency (ATT) "are imposed unilaterally and harm the interests of Apple's commercial partners", according to the AGCM statement.

French antitrust authorities earlier this year handed Apple a 150-million euro fine over its app tracking privacy feature.

Authorities elsewhere in Europe have also opened similar probes over ATT, which Apple promotes as a privacy safeguard.

The feature, introduced by Apple in 2021, requires apps to obtain user consent through a pop-up window before tracking their activity across other apps and websites.

If they decline, the app loses access to information on that user which enables ad targeting.

Critics have accused Apple of using the system to promote its own advertising services while restricting competitors.