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."



Abu Dhabi AI Institute Releases Fully Open-Source Models With Training Data, Code

A view of the UAE capital, Abu Dhabi (Asharq Al-Awsat)
A view of the UAE capital, Abu Dhabi (Asharq Al-Awsat)
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Abu Dhabi AI Institute Releases Fully Open-Source Models With Training Data, Code

A view of the UAE capital, Abu Dhabi (Asharq Al-Awsat)
A view of the UAE capital, Abu Dhabi (Asharq Al-Awsat)

Abu Dhabi-based research institute IFM on Thursday released six artificial intelligence models together with the data and methods used to build them, challenging an industry trend toward increasingly secretive AI development.

The K2 Horizon release includes model weights, training data, code, methodologies and intermediate checkpoints, allowing researchers to retrace the models' development process and reproduce results, IFM founder Eric Xing told Reuters.

The move goes beyond the "open-weight" approach used by some Chinese developers, which make models available for download but provide limited insight into how they were built, and contrasts with the more closed development practices of companies such as OpenAI and Anthropic, which neither release their models for download nor disclose the data and techniques behind them.

"Our goal with this release is to establish a reference point for what a truly open model release can look like," Xing said.

He said the release was also intended to show policymakers, regulators and public-interest advocates that "openness and competitive performance are not mutually exclusive."

The launch forms part of the UAE's push to establish itself as a global AI hub.

The model family ranges from one designed for smartwatches and other constrained devices to a 375-billion-parameter system for enterprise deployments.


Nvidia to Buy Hugging Face for $13 billion in Big Bet on Open AI Models

Nvidia's logo at its headquarters in Santa Clara, California (AFP)
Nvidia's logo at its headquarters in Santa Clara, California (AFP)
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Nvidia to Buy Hugging Face for $13 billion in Big Bet on Open AI Models

Nvidia's logo at its headquarters in Santa Clara, California (AFP)
Nvidia's logo at its headquarters in Santa Clara, California (AFP)

Nvidia will buy popular developer platform Hugging Face for $12.93 billion, betting that support for open AI models will drive future demand even as its biggest customers develop their own chips to reduce reliance on the semiconductor giant.

Shares of the company were slightly higher after the deal on Thursday, which ranks among its biggest.

The deal will cement Nvidia as a central player in the market for open models that users can freely download, run and customize, unlike the closed systems built by OpenAI and Anthropic.

Nvidia has already played an active role in backing the open AI industry with its widely used Nemotron model. Acquiring Hugging Face will give it direct access to a platform developers use to collaborate, test and share tools, potentially providing valuable insight and data that could help it narrow the technology gap with top American and Chinese labs.

Demand for open-weight models has surged from businesses balking at the steep bill of deploying the technology, with Chinese companies such as DeepSeek and Z.ai emerging as crucial players with models that can match the best from the US in tasks, including generating computer code at a lower cost.

That surge has fueled fears that some American firms could become reliant on Beijing's models even as both countries race to dominate a technology they see as crucial to their future.

"Hugging Face will remain an open platform for the entire AI ecosystem," Nvidia CEO Jensen Huang said, adding that his company's chips would not be required to build on or deploy through Hugging Face.

Under the deal, Nvidia will pay about $11.9 billion to Hugging Face investors, while offering an equity-based retention program of up to $1 billion for employees who join Nvidia.

The two companies already work together to help developers use Nvidia's computing services on the platform.

For Nvidia, building up open source may help it cushion a demand slowdown from customers such as Meta, OpenAI and Microsoft, which are developing their own AI chips to cut reliance on its costly and supply-constrained processors.

Hugging Face has also been in the news recently after a hack by rogue AI agents that escaped OpenAI's testing environment. Beyond hosting AI models, it offers datasets, software libraries and cloud services used to build and deploy AI applications.

The New York-based startup, which is backed by Intel , Advanced Micro Devices and Amazon, was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond and Thomas Wolf.


Robot Brings Cashier and Service-Host Functions to LEAP 2026

LEAP 2026 is showcasing an emerging Saudi experience in artificial intelligence (AI) and robotics through a robot named RoboNex, designed to combine cashier and service-host functions in the restaurant and café sector. (SPA)
LEAP 2026 is showcasing an emerging Saudi experience in artificial intelligence (AI) and robotics through a robot named RoboNex, designed to combine cashier and service-host functions in the restaurant and café sector. (SPA)
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Robot Brings Cashier and Service-Host Functions to LEAP 2026

LEAP 2026 is showcasing an emerging Saudi experience in artificial intelligence (AI) and robotics through a robot named RoboNex, designed to combine cashier and service-host functions in the restaurant and café sector. (SPA)
LEAP 2026 is showcasing an emerging Saudi experience in artificial intelligence (AI) and robotics through a robot named RoboNex, designed to combine cashier and service-host functions in the restaurant and café sector. (SPA)

LEAP 2026 is showcasing an emerging Saudi experience in artificial intelligence (AI) and robotics through a robot named RoboNex, designed to combine cashier and service-host functions in the restaurant and café sector. The robot interacts with customers in real time, takes their orders and provides smart recommendations, the Saudi Press Agency said on Thursday.

The robot’s development took place in Saudi Arabia, starting with structural design and component engineering and progressing to controller programming, AI algorithms, voice-processing systems and real-time interaction. It was also integrated with point-of-sale systems and electronic payment gateways.

The robot can handle sales transactions and take customer orders, while recommending additional products based on items already in the shopping basket. It can display specified discounts and promotional offers during the purchasing journey.

The presence of robots at LEAP 2026 highlights the growing adoption of AI and robotics across industries, as these technologies move beyond experimental concepts toward real-world applications in business, services and retail.