Artificial intelligence

AMD powers US AI factory supercomputers for national research

The US Department of Energy and AMD are joining forces to expand America’s AI and scientific computing power through two new supercomputers at Oak Ridge National Laboratory.

Named Lux and Discovery, the systems will drive the country’s sovereign AI strategy, combining public and private investment worth around $1 billion to strengthen research, innovation, and security infrastructure.

Lux, arriving in 2026, will become the nation’s first dedicated AI factory for science.

Built with AMD’s EPYC CPUs and Instinct GPUs alongside Oracle and HPE technologies, Lux will accelerate research across materials, medicine, and advanced manufacturing, supporting the US AI Action Plan and boosting the Department of Energy’s AI capacity.

Discovery, set for deployment in 2028, will deepen collaboration between the DOE, AMD, and HPE. Powered by AMD’s next-generation ‘Venice’ CPUs and MI430X GPUs, Discovery will train and deploy AI models on secure US-built systems, protecting national data and competitiveness.

It aims to deliver faster energy, biology, and national security breakthroughs while maintaining high efficiency and open standards.

AMD’s CEO, Dr Lisa Su, said the collaboration represents the best public-private partnerships, advancing the nation’s foundation for science and innovation.

US Energy Secretary Chris Wright described the initiative as proof that America leads when government and industry work together toward shared AI and scientific goals.

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Virginia’s data centre boom divides residents and industry

Loudoun County in Virginia, known as Data Center Alley, now hosts nearly 200 data centres powering much of the world’s internet and AI infrastructure. Their growth has brought vast economic benefits but stirred concerns about noise, pollution, and rising energy bills for nearby residents.

The facilities occupy about 3% of the county’s land yet generate 40% of its tax revenue. Locals say the constant humming and industrial sprawl have driven away wildlife and inflated electricity costs, which have surged by over 250% in five years.

Despite opposition, new US and global data centre projects continue to receive state support. The industry contributes $5.5 billion annually to Virginia’s economy and sustains around 74,000 jobs. Additionally, President Trump’s administration recently pledged to accelerate permits.

Residents like Emily Kasabian argue the expansion is eroding community life, replacing trees with concrete and machinery to fuel AI. Activists are now lobbying for construction pauses, warning that unchecked development threatens to transform affluent suburbs beyond recognition.

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Celebrity estates push back on Sora as app surges to No.1

OpenAI’s short-video app Sora topped one million downloads in under a week, then ran headlong into a likeness-rights firestorm. Celebrity families and studios demanded stricter controls. Estates for figures like Martin Luther King Jr. sought blocks on unauthorised cameos.

Users showcased hyperreal mashups that blurred satire and deception, from cartoon crossovers to dead celebrities in improbable scenes. All clips are AI-made, yet reposting across platforms spread confusion. Viewers faced a constant real-or-fake dilemma.

Rights holders pressed for consent, compensation, and veto power over characters and personas. OpenAI shifted toward opt-in for copyrighted properties and enabled estate requests to restrict cameos. Policy language on who qualifies as a public figure remains fuzzy.

Agencies and unions amplified pressure, warning of exploitation and reputational risks. Detection firms reported a surge in takedown requests for unauthorised impersonations. Watermarks exist, but removal tools undercut provenance and complicate enforcement.

Researchers warned about a growing fog of doubt as realistic fakes multiply. Every day, people are placed in deceptive scenarios, while bad actors exploit deniability. OpenAI promised stronger guardrails as Sora scales within tighter rules.

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Samsung and SoftBank team up on AI-RAN for next-gen telecom

Samsung Electronics and SoftBank Corp. have collaborated to develop advanced AI-RAN technologies to enhance next-generation telecommunications infrastructure.

The partnership will combine Samsung’s expertise in network solutions with SoftBank’s extensive operational data to advance automation and intelligence in wireless networks.

The companies plan to explore how AI can optimise network efficiency, improve real-time decision-making, and dynamically manage radio resources to deliver faster, more reliable connections. AI-RAN technologies are expected to play a key role in the evolution of 6G networks, where managing complex data flows and ensuring energy-efficient operations will become essential.

Dr Junehee Lee, Executive Vice President at Samsung Electronics, said the collaboration represents ‘an important step toward realising autonomous networks powered by AI.’ He noted that such systems can predict network conditions, self-adjust to maintain quality of service, and reduce human intervention in operations.

Junichi Miyakawa, President and CEO of SoftBank, emphasised that the project aligns with SoftBank’s long-term vision to build smarter, more resilient telecommunications infrastructure. ‘By combining our operational insights with Samsung’s technology leadership, we aim to accelerate innovation in network automation and deliver superior experiences to users,’ he said.

The two companies will begin joint trials in Japan using Samsung’s virtualised RAN (vRAN) and Open RAN solutions. These trials will focus on applying machine learning models to radio network optimisation, particularly in urban environments with high data demand.

Both firms view AI-RAN as a foundation for future communications systems that can autonomously adapt to network load and interference, setting the stage for a new generation of intelligent, energy-efficient mobile connectivity.

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Qualcomm and HUMAIN power Saudi Arabia’s AI transformation

HUMAIN and Qualcomm Technologies have launched a collaboration to deploy advanced AI infrastructure in Saudi Arabia, aiming to position the Kingdom as a global hub for AI.

Announced ahead of the Future Investment Initiative conference, the project will deliver the world’s first fully optimised edge-to-cloud AI system, expanding Saudi Arabia’s regional and global inferencing services capabilities.

In 2026, HUMAIN plans to deploy 200 megawatts of Qualcomm’s AI200 and AI250 rack solutions to power large-scale AI inference services.

The partnership combines HUMAIN’s regional infrastructure and full AI stack with Qualcomm’s semiconductor expertise, creating a model for nations seeking to develop sovereign AI ecosystems.

However, the initiative will also integrate HUMAIN’s Saudi-developed ALLaM models with Qualcomm’s AI platforms, offering enterprise and government customers tailor-made solutions for industry-specific needs.

The collaboration supports Saudi Arabia’s strategy to drive economic growth through AI and semiconductor innovation, reinforcing its ambition to lead the next wave of global intelligent computing.

Qualcomm’s CEO Cristiano Amon said the partnership would help the Kingdom build a technology ecosystem to accelerate its AI ambitions.

HUMAIN CEO Tareq Amin added that combining local insight with Qualcomm’s product leadership will establish Saudi Arabia as a key player in global AI and semiconductor development.

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Anthropic boosts cloud capacity with Google’s AI hardware

Anthropic has struck a multibillion-dollar deal with Google to expand its use of cloud computing and specialised AI chips. The agreement includes the purchase of up to one million Tensor Processing Units, Google’s custom hardware built to train and run large AI models.

The partnership will provide Anthropic with more than a gigawatt of additional computing power by late 2026. Executives said the move will support soaring demand for its Claude model family, which already serves over 300,000 business clients.

Anthropic, founded by former OpenAI employees, has quickly become a major player in generative AI. Backed by Amazon and valued at $183 billion, the company recently launched Claude Sonnet 4.5, praised for its coding and reasoning abilities.

Google continues to invest heavily in AI hardware to compete with Nvidia’s GPUs and rival US tech giants. Analysts said Anthropic’s expansion signals intensifying demand for computing power as companies race to lead the global AI revolution.

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Two founders turn note-taking into an AI success

Two 20-year-old drop-outs, Rudy Arora and Sarthak Dhawan, are behind Turbo AI, an AI-powered notetaker that has grown to around 5 million users and reached a multi-million-dollar annual recurring revenue (ARR) in a short timeframe.

Their app addresses a clear pain point, which is that meetings, lectures, and long videos produce information overload. Turbo AI uses generative AI to convert audio, typed notes or uploads into structured summaries, highlight key points and help users organise insights. The founders describe it as a ‘productivity assistant’ more than a general-purpose chat agent.

The business model appears lean, meaning that freemium user acquisition is scaling quickly, then converting power users into paid subscriptions. The insights are that a well-targeted niche tool can win strong uptake even in a crowded productivity-AI market.

Arora and Dhawan say they kept the feature set focused and user experience simple, enabling rapid word-of-mouth growth.

The growth raises interesting implications for enterprise and consumer AI alike. While large language models dominate headlines, tools like Turbo AI show the value of vertical-specific applications addressing tangible workflows (e.g., note-taking, summarisation). It also underscores how younger founders are building AI tools outside the major tech hubs and scaling globally.

At this stage, challenges remain: user retention, differentiation in a field where major players (Microsoft, Google, OpenAI) are adding similar capabilities, and privacy/data governance (especially with audio and meeting content). However, the early results suggest that targeted AI productivity tools can achieve a meaningful scale quickly.

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Tech giants push AI agents into web browsing

Tech companies are intensifying competition to reshape how people search online through AI-powered browsers. OpenAI’s new Atlas browser, built around ChatGPT, can generate answers and complete web-based tasks such as making shopping lists or reservations.

Atlas joins rivals like Microsoft’s Copilot-enabled Edge, Perplexity’s Comet, and newer platforms Dia and Neon. Developers are moving beyond traditional assistants, creating ‘agentic’ AI capable of acting autonomously while keeping user experience familiar.

Google remains dominant, with Chrome holding over 70 percent of the browser market and integrating limited AI features. Analysts say OpenAI could challenge that control by combining ChatGPT insights with browser behaviour to personalise search and advertising.

Experts note the battle extends beyond browsers as wearables and voice interfaces evolve. Controlling how users interact with AI today, they argue, could determine which company shapes digital habits in the coming decade.

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AI tool Mirror keeps track of medical information

A new app called Mirror, developed by Oxford-based company Aide Health, aims to help patients remember and summarise information from medical appointments using AI. The platform records consultations and produces summaries that patients can refer back to or share with family and carers.

Creator Ian Wharton said the idea came from helping his father, who has early-stage Alzheimer’s, to recall essential details from doctors’ visits. The app listens passively during appointments and produces a clear summary of what was discussed, making it easier for patients to retain key information.

Early users have praised the platform for making consultations easier to manage. One described being able to share concise summaries with friends and colleagues, saving the effort of repeating complex medical details. The creator added that patient data is private and not shared with third parties.

The current version works during in-person consultations, but future updates will allow the app to actively prompt patients with reminders or questions, advocating for their healthcare needs.

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MoonshotAI released KIMI-K2 and OK Computer

KIMI-K2 is a large language model (LLM) developed by Beijing-based Moonshot AI, offering strong performance in writing and coding across diverse applications. Open-source and versatile, it delivers high-quality outputs across multiple domains, from text generation to programming.

Alongside KIMI-K2, the developers introduced OK Computer, an agent that extends the model’s abilities. Using this agent, users can build websites, conduct research, generate images, and create presentations or graphics from a single prompt, making complex workflows simpler and more accessible.

These tools reflect a growing trend in AI, which is combining multiple capabilities into one accessible system. By offering open-source solutions, KIMI-K2 and OK Computer empower users to tackle creative, technical, and research tasks with minimal effort.

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