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Intel and Google Cloud broadened their multi-year strategic collaboration with plans to deploy Gemini Enterprise and Google Cloud infrastructure across the chipmaker’s global operations as part of a wider AI-driven transformation.

Under the expanded partnership, Intel will roll out Gemini-powered generative AI tools across engineering, supply chain and corporate functions, aiming to scale workforce capabilities through agentic workflows.

The hyperscaler’s infrastructure will also support Intel’s semiconductor development environment, with custom agentic workflows intended to speed up the chip design lifecycle and improve cross-functional execution.

Intel CIO Cindy Stoddard stated the collaboration gives employees a central hub to build and deploy agents through Gemini Enterprise, alongside elastic cloud infrastructure to scale silicon development, as part of the company’s push to move faster and more efficiently.

Karthik Narain, chief product and business officer at Google Cloud, described the partnership as an effort to pair Intel’s engineering expertise with agentic AI tools to create what he called an autonomous foundation for how the chipmaker designs, operates and scales its business.

The companies stated the deployment moves Intel beyond isolated AI pilot programmes. Through the Gemini Enterprise Agent Platform, Intel’s business units will be able to build and run tailored line-of-business agents aimed at automating core processes and speeding up data-driven decision-making.

Gemini’s reasoning capabilities will also power dedicated coding assistance and engineering automation tools designed to streamline software development pipelines and automate multi-step workflows.

Intel is separately piloting Google Cloud-powered tools for marketing and communications, including agents that can identify relevant subject matter experts, draft executive-ready messaging, and generate supporting content across communications channels.

On the infrastructure side, Intel is extending its on-premises compute capacity into Google Cloud’s C4 and N4 instances to support silicon development simulations and core engineering workloads, letting engineering teams run high-performance computing simulations concurrently to shorten chip development cycles.

The tie-up builds on a partnership which has deepened steadily this year. In April, Google committed to using multiple generations of Intel’s Xeon processors, including the 18A-manufactured Xeon 6, to support AI training and inference in its data centres, alongside a plan to co-develop custom infrastructure processing units.

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China President Xi Jinping (pictured) set out his vision for the country to assume a leadership role in AI, calling for increased international cooperation and promotion of open-source technology while taking aim at the US over attempts to govern the sector.

Xi made the comments in a speech at the World AI Conference in Shanghai, where it was announced China, Brazil, Russia and Indonesia are among 30 countries to have joined the World Artificial Intelligence Cooperation Organisation.

Chinese state media describe the new group as an intergovernmental organisation headquartered in Shanghai to promote global AI governance.

Of the new group, Xi said AI should not be a “solo performance by one country, but rather a symphony of global cooperation”.

He said the initiative is a response to the call of the Global South to unite the international community in promoting development and governance of AI, “and it will become a major milestone in the history of artificial intelligence development”.

To further support this, Xi said China will provide 5,000 training opportunities in AI-related fields for developing countries, in addition to establishing AI application cooperation centres.  

In his speech, Xi noted that as AI continues to develop at “staggering speed”, there was a greater need for positive direction.

“We must more precisely grasp the scale of oversight and governance, and more promptly refine measures to forestall loss of control.”

Overstretch
While not naming the US directly, Xi said countries should oppose “overstretching the national security concept in the field of AI, or placing one country’s security over that of others”.

The US has notably placed several restrictions on China, impacting companies in the country from accessing high-end technology.

XI continued to state he was committed to promoting cooperation, bridging the digital divide, promoting sustainable development and avoiding “creating new historical injustices in the field of artificial intelligence”.

Finally, he called on the countries to “seize this rare historical opportunity, encourage open source and open collaboration”, in turn upgrading traditional industries and ensure AI can “empower all sectors”.

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Google’s new Gemma model brings offline AI processing to the Pixel 10, enabling local text, image, and audio tasks while reducing reliance on the cloud.

NTT and Japanese media company TBS identified AI as a potential danger to children’s decision-making abilities and outlined an intention to form a company to tackle the issue using digital games and smartphone apps.

The pair plan to commence operations of their e6 joint venture on 8 August to help children form clear ideas in a world where AI offers myriad possible answers to questions. The business is to be used to commercialise a namesake project NTT and TBS launched in February to provide an experience-based educational approach using various technologies.

NTT stated the companies created Emotional Knight, a story-based “original IP” emotive education game employing AI and extended reality to teach decision-making.

NTT President and CEO Akira Shimada said the companies believe huge volumes of information are not necessarily the best thing for children.

Instead, they need “the ability to think for themselves and make their own decisions while interacting with a wealth of information and AI”.

The companies intend to expand the line-up of educational games, develop relevant IP and add more “entertainment experiences” which foster children’s “ability to make independent decisions”.

NTT is contributing group resources including its innovative optical and wireless network, tsuzumi 2 LLM, R&D and social implementation capabilities. TBS brings content creation, IP development and distribution elements.

The Japanese conglomerate stated feedback from an event held in March showed a high level of satisfaction.

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Micron Technology secured strategic supply agreements with major automotive partners including Qualcomm and Harman to guarantee long-term chip access for software-defined vehicles.

The deals come during an aggressive industry-wide race to expand manufacturing capacity to meet a massive surge in memory chip demand driven by rapid AI adoption.

As the only US-based manufacturer of high-bandwidth memory chips used in Nvidia’s AI processors, Micron occupies a unique market position alongside South Korean rivals Samsung and SK Hynix, allowing it to command premium prices while solidifying long-term commitments during ongoing hardware shortages.

Micron also struck deals with Visteon, Joynext, Denso, Astemo, and Hyundai Mobis. It stated the agreements would improve visibility and help optimise production planning. It expects greater stability in pricing and supply chains for increasingly sophisticated AI-enabled vehicle platforms.

Demand for high-performance DRAM and NAND flash memory has grown as the automotive sector transitions toward highly connected, autonomous and intelligent designs.

Modern vehicle architectures require robust computing hardware to support advanced driver assistance systems, infotainment services and high-speed connectivity.

Sanjay Mehrotra, chair, president and CEO of Micron, emphasised the next phase of automotive innovation hinges on the strength of the ecosystem behind it. He noted “memory and storage serve are critical enablers” for the sophisticated digital experiences consumers expect.

Qualcomm CEO Cristiano Amon highlighted the collaborative effort required to deliver advanced digital cockpit and driver assistance technologies. He stated working with Micron provides a strong hardware foundation as vehicles become more intelligent and connected.

The automotive sector is a key area for increasing Qualcomm’s revenue beyond mobile chips. In its April Q2 earnings, it reported Automotive sales rose 38 per cent to $1.3 billion.

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Nvidia is partnering with Japan’s robotics leaders to develop smarter factories using physical AI, new models, and domestic computing infrastructure.

Consumer hardware company Aina raised millions of dollars in seed funding to finance development of an interface it argues is required to fully unlock the potential of AI on smartphones and PCs.

The company believes current device hardware lags the progress of software and AI, resulting in a disconnect between expectation and reality in terms of the interface with apps and services.

It raised $5.5 million in the recent funding round to advance development of experimental interfaces which adapt to the app being used.

Aina stated it already shipped hundreds of experimental keypads called Dune to early adopters, a product for Mac computers it describes as “context-aware” which primarily focuses on work tools.

It is using the feedback from Dune to develop a general-purpose interface for smartphones and computers.

Aina founder and CEO Apoorv Shankar (pictured) said current smartphones and PCs “are still primarily designed for browsing” and use manual inputs requiring users to “figure out what you need”.

He argued this is laborious when users are “doing hundreds of tasks” per day.

The company believes there is room within the broader AI assistant space for a contextualisation system which makes it easier for people to interact with the technology. Shankar explained the general-purpose interface on the drawing board is being designed to “capture human approval”.

Shankar was previously VP of hardware at smart ring company Ultrahuman.

The seed funding round was led by Redstart Labs (Infoedge) and 360 ONE Asset, with two other investment companies and a host of angel investors.

Along with launching its interface, Aina intends to use the backing to grow its team in the US and India.

The post Aina scores $5.5M for AI interface work appeared first on Mobile World Live.

A future WhatsApp cloud backup service could free iPhone users from iCloud while making cross-platform chat transfers far less painful.

(via Cult of Mac - Your source for the latest Apple news, rumors, analysis, reviews, how-tos and deals.)

Apple has increased the price of iCloud+ in Nigeria, Türkiye, Vietnam, Japan, Egypt, New Zealand, the Philippines, and Indonesia, according to an updated version of its iCloud support document.


Price increases range from 11 percent to 55 percent depending on the plan and the country. Nigeria saw the biggest hike, and a 50GB plan is now ₦1,300, up from ₦900. Türkiye saw the next largest increase, with a 50GB plan priced at 49.99 TL, up from 39.99 TL.

Apple has likely adjusted pricing due to currency fluctuations. The Japanese Yen has weakened over the past year, for example, and the dollar is up almost 10 percent against the yen. The Turkish Lira has also depreciated, increasing the value of the U.S. dollar.

A full list of price changes can be found on Apple's iCloud website. U.S. pricing has not changed, nor has pricing in any other country not listed above.

All Apple Accounts receive 5GB of free ‌iCloud‌ storage. Apple's ‌iCloud‌+ plans give users extra storage, as well as perks like Hide My Email, HomeKit Secure Video, and ‌iCloud‌ Private Relay.
This article, "Apple Raises iCloud+ Prices in 8 Countries" first appeared on MacRumors.com

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TSMC raised its investment budget in the US by a further $100 billion, driven by strong demand for AI technology through to 2030.

In an announcement tied to its quarterly results, the Taiwanese chipmaker revealed it would spend the sum in the US state of Arizona, adding to an investment of $165 billion which it has already committed.

TSMC has pledged to build eight manufacturing sites in Arizona, and with the additional investment, could now set up another four focused on manufacturing advanced 2nm chips, in addition to facilities for advanced packaging.

CEO CC Wei stated its raised outlook was based on demand mainly from cloud service providers, which provide a “strong signal and positive outlook”.

“Thus, our conviction in the multi-year AI mega-trend remains very high.”

He added the investment “will help further foster the development of the US semiconductor ecosystem, strengthen the supply chain and support an increasing number of high-tech, high-paying jobs” in the country.

In Q2 2026 the company reported a year-on-year revenue increase of 36% to TWD1.3 trillion ($40.4 billion), with net income increasing 77% to TWD706.6 billion.

The post TSMC ups US investment on AI mega-trend appeared first on Mobile World Live.

Thinking Machines Lab unveiled its first AI model more than a year after former OpenAI executive Mira Murati (pictured) founded the start-up, moving it from research previews to a full launch.

The Inkling model is designed to reason natively across text, images and audio, while balancing cost against performance through variable, adjustable effort.

Thinking Machines stated the model is trained to exhibit safe behaviour across all modalities.

The company noted Inkling is a mixture-of-experts transformer with 975 billion total parameters and 41 billion active parameters, supporting a context window of up to 1 million tokens.

Thinking Machines described it as the first in a family of models of varying sizes.

Rather than chasing state-of-the-art performance in a single domain, Thinking Machines said it trained Inkling for solid capabilities across agentic tasks, reasoning, coding, instruction-following, factuality, vision and audio, positioning it as a foundation model for future releases.

The company acknowledged Inkling is not the most performant model available today, closed or open.

Inkling is open-weight, meaning developers can download and customise the model without access to training data or source code.

It is available for fine-tuning on Tinker, Thinking Machines’ developer platform, alongside a so-called Inkling Playground for testing the model directly.

Bloomberg reported Thinking Machines is not aiming to monetise the model itself; the company currently generates revenue through Tinker, which it sells to customers including hedge fund Bridgewater Associates for financial-task fine-tuning.

The news outlet noted Murati’s company raised $2 billion at a $12 billion valuation last year and was reportedly in talks over a larger subsequent round, though it added several employees have since departed for firms including Meta Platforms and OpenAI.

Bloomberg also reported the launch could help fill a gap in the US open model market, as Meta shifts focus on proprietary offerings and rising AI spending pushes some users toward freely available Chinese models.

Thinking Machines was founded in early 2025 by Murati and a host of other former OpenAI employees, with the company initially focused on collaboration between the technology and people.

The post Thinking Machines releases first AI model appeared first on Mobile World Live.

Anthropic is reportedly seeking to meet with investors ahead of a potential mega-IPO, as the company prepares to join a wave of AI-driven stock market debuts.

Bloomberg reported the banks leading the offering are scheduling meetings between investors and the Claude chatbot maker in the coming weeks, citing people familiar with the matter. The news outlet previously stated Anthropic is considering an IPO as soon as October.

Deliberations remain ongoing and details including timing could still change, Bloomberg stated.

Moving ahead on the timeline would put Anthropic ahead of rival OpenAI, which is now eyeing a debut in 2027 after earlier targeting 2026.

The news site noted an IPO in October would also see Anthropic list before DeepSeek, the Chinese AI company which has been steadily gaining market share.

DeepSeek is reportedly preparing its own IPO and could file this year.

Bloomberg stated Anthropic is working with Morgan Stanley, Goldman Sachs and JPMorgan Chase on its IPO.

The AI player is also navigating uncertainty tied to its relationship with the Trump administration, which briefly imposed foreign access restrictions on two of Anthropic’s top models.

Anthropic separately sued the US Department of War after it declared the company posed a risk to the nation’s supply chain.

The company was valued at $965 billion following a funding round in May, making it one of the world’s largest private companies and pushing its valuation past OpenAI’s for the first time.

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A reorganização da operação da Ingram Micro em Portugal já está em marcha e Jaime Soler descreve as mudanças como uma evolução que traz benefícios aos clientes no mercado português.

The post Ingram Micro avança para a versão 2.0 da empresa com aposta reforçada em Portugal appeared first on Tek Notícias.

The lawsuit highlighted concerns that the privacy of Apple’s iCloud allows illegal material to be easily stored and shared on the service.

The US government launched a cybersecurity coordination group allowing AI developers and service providers a formal way to work together to respond to threats emerging from the technology.

The White House stated it, along with the Department of the Treasury, Homeland Security, Department of War and the Cybersecurity and Infrastructure Security Agency worked closely with industry partners to detect threats faster and develop a rapid and prioritised response to cyber vulnerabilities across critical infrastructure sectors.

The group, called Gold Eagle, has been spearheaded by President Donald Trump as part of his vision to secure and accelerate American AI innovation.

It was first revealed as part of Trump’s executive order in June to promote advanced AI innovation and security, which includes plans for the release of a new operational model for cyber defence.

The model aims to tap into frontier AI capabilities to continue advancing faster than adversaries, reduce duplicative scanning efforts and “deliver prioritised and actionable threat and remediation information to defenders” across the government and private sector.

The White House statement explained Gold Eagle will help government and industry collectively identify risks, prioritise action and strengthen the resilience of systems that power the economy, national security and daily life.

Companies involved in the coordination group were not disclosed.

Trump’s administration has taken a hands-on approach to AI regulation.

In May it unveiled a legislative framework to create uniform security and safety guardrails. This followed another executive order at the end of 2025 to secure control of AI regulation away from individual states.

The post Trump sets up AI threat coordination group appeared first on Mobile World Live.

OpenAI is reportedly preparing to enter the consumer hardware market with a portable, screen-free smart speaker designed to serve as an AI companion in the home.

Sources told Bloomberg the device will access ChatGPT’s AI capabilities to control smart home appliances, play media, answer questions and respond to messages. It will utilise OpenAI’s GPT-Live voice technology to listen and adaptively respond at the same time to support more natural conversations and incorporate AI models beyond those used in existing smart speakers.

In addition, the hardware will apparently feature a camera and sensors to enable the AI to read its surroundings. Unlike conventional smart speakers, the rechargeable device will be portable and feature moving mechanical elements.

It will also draw on user data such as emails to become increasingly personalised over time. OpenAI envisions the speaker developing a humanlike personality, proactively surfacing information, anticipating users’ needs and acting as a physical embodiment of ChatGPT.

OpenAI’s hardware unit is reportedly developing around five products in total, with the speaker set to be the first to market.

Last year, the company splashed $6.5 billion to acquire io Products, the device startup co-founded by former Apple design chief Jony Ive. Ive’s creative design studio LoveFrom is also working on the hardware line.

A hardware launch would put the ChatGPT-maker in direct competition with Apple, Amazon and Google in consumer devices.

Trade secrets
Last week, Apple filed a lawsuit against OpenAI and io Products, alleging “theft of trade secrets” obtained through former employees during hiring to accelerate the development of its AI devices. According to its lawsuit, more than 400 former Apple employees have joined OpenAI’s hardware effort.

Drew Pusateri, a spokesman for OpenAI, told the BBC OpenAI has “no interest in other companies’ trade secrets” and is “focused on building innovative technology that empowers people everywhere”.

Apple is seeking an injunction that could delay the AI giant’s device sales. According to Bloomberg, OpenAI is aiming to unveil the speaker later this year, with release targeted for 2027, subject to the lawsuit.

Meanwhile, Apple is reportedly developing its own AI-focused home devices including a smart home hub with a 7-inch display and facial recognition tied to the upcoming AI-powered Siri revamp in iOS 27.

The post OpenAI plots AI speaker launch in hardware push appeared first on Mobile World Live.

Google DeepMind CEO Demis Hassabis called for the establishment of a new US-led regulatory framework to govern frontier AI, proposing a self-regulatory structure which could bypass political opposition.

In a post on X, Hassabis warned the breakneck pace of commercial and geopolitical competition is currently outstripping the industry’s understanding of the technology.

He noted the arrival of Artificial General Intelligence (AGI) is likely only a few short years away.

To address looming technical, biological, and cybersecurity risks without stifling innovation, Hassabis proposed creating a new US standards body.

He modelled it after a self-regulatory organisation like the Financial Industry Regulatory Authority (FINRA), rather than a traditional government agency.

The structural choice comes amid heavy resistance to AI regulation from the tech industry and shifting policies from the Trump administration.

The FINRA-style blueprint would be staffed by leading technical experts and open-source representatives but primarily funded by the industry to secure the massive compute resources needed for testing.

TechCrunch reported the proposed system would replace the current, highly criticised ad hoc government reviews previously used for models like Anthropic’s Mythos and OpenAI’s Sol.

Those reviews drew fire from industry onlookers for a distinct lack of technical expertise and opaque decision-making, according to the news outlet.

Under Hassabis’s framework, the independent body would define thresholds to classify models as Frontier-Class. Organisations behind them, dubbed Frontier Labs, would eventually be required to pass the independent assessments to deploy in the US market.

Hassabis stated assessments would check for advanced threats, deception, and guardrail bypass attempts. The standards body could also outsource specific evaluations to a growing ecosystem of independent, third-party AI safety groups.

He argued the approach is designed to keep up with AI’s acceleration, allowing the industry to safely steer toward an era of scientific abundance while addressing the Trump administration’s concern over state-mandated red tape.

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New York made history by becoming the first US state to halt the construction of massive new data centres, imposing a one-year moratorium as concerns escalate over the environmental and financial toll of the AI boom.

The moratorium, outlined in an executive order signed by Governor Kathy Hochul (pictured), targets hyperscale operations by halting discretionary environmental permits for new facilities requiring 50 megawatts or more of power.

The rapid expansion of facilities housing thousands of computer servers has triggered intense community and political backlash across the US.

“This pause will remain in place for up to one year while New York establishes the strongest possible framework to protect our community’s guardrails to reduce the risk to our energy grid, minimize land disruption, noise pollution, and protect our natural resources, especially our water supply,” Hochul stated during a press conference. “We’re going to explore having hyperscale data centres pay into a larger fund to support our grid statewide.

“We need to invest in this, help defray costs, reduce bills for our rate payers,” she added. “We expect this process, which we already launched, to be completed within the year.

Once the policy is in place, the freeze will be reviewed and lifted, Hochul stated.

She also said the data centres should only be built in areas which want them and “they will never be exempt from local zoning, local approvals”.

Local populations are increasingly concerned the energy-hungry centres by companies including Alphabet, Microsoft, Meta, Amazon, and Oracle are inflating residential utility bills, straining electricity grids and consuming millions of gallons of water for cooling.

Hochul framed the aggressive intervention as a necessary protective measure for state residents, stating as data centre development threatens to hike utility bills and deplete natural resources, it is her responsibility to act.

She noted labour organisations will have a seat at the AI data centre discussions “so projects can include wage standards and labour agreements and prioritise local hiring”.

To further rein in the sector, Hochul announced plans to pursue legislation to repeal lucrative sales tax exemptions currently enjoyed by hyperscale data centre operators.

“New Yorkers work hard and, on my watch, their tax dollars will not be used to benefit these large firms, these centres.”

Reuters reported Hochul directed state officials to develop a Generic Environmental Impact Statement. The comprehensive assessment will establish consistent operating and environmental standards for new facilities while examining the overall footprint of data centre construction and operation across the state.

The construction ban will be lifted once the rigorous regulatory guidelines are finalised.

The news outlet reported state lawmakers recently passed a bill targeting data centres consuming 20 megawatts or more of power, representing a wider scope than the governor’s executive order.

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