Development

AI200 and AI250 set a rack-scale inference push from Qualcomm

Qualcomm unveiled AI200 and AI250 data-centre accelerators aimed at high-throughput, low-TCO generative AI inference. AI200 targets rack-level deployment with high performance per pound per watt and 768 GB LPDDR per card for large models.

AI250 introduces a near-memory architecture that boosts adequate memory bandwidth by over tenfold while lowering power draw. Qualcomm pitches the design for disaggregated serving, improving hardware utilisation across large fleets.

Both arrive as full racks with direct liquid cooling, PCIe for scale-up, Ethernet for scale-out, and confidential computing. Qualcomm quotes around 160 kW per rack for thermally efficient, dense inference.

A hyperscaler-grade software stack spans apps to system software with one-click onboarding of Hugging Face models. Support covers leading frameworks, inference engines, and optimisation techniques to simplify secure, scalable deployments.

Commercial timing splits the roadmap: AI200 in 2026 and AI250 in 2027. Qualcomm commits to an annual cadence for data-centre inference, aiming to lead in performance, energy efficiency, and total cost of ownership.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

A generative AI model helps athletes avoid injuries and recover faster

Researchers at the University of California, San Diego, have developed a generative AI model designed to prevent sports injuries and assist rehabilitation.

The system, named BIGE (Biomechanics-informed GenAI for Exercise Science), integrates data on human motion with biomechanical constraints such as muscle force limits to create realistic training guidance.

BIGE can generate video demonstrations of optimal movements that athletes can imitate to enhance performance or avoid injury. It can also produce adaptive motions suited for athletes recovering from injuries, offering a personalised approach to rehabilitation.

The model merges generative AI with accurate modelling, overcoming limitations of previous systems that produced anatomically unrealistic results or required heavy computational resources.

To train BIGE, researchers used motion-capture data of athletes performing squats, converting them into 3D skeletal models with precise force calculations. The project’s next phase will expand to other types of movements and individualised training models.

Beyond sports, researchers suggest the tool could predict fall risks among the elderly. Professor Andrew McCulloch described the technology as ‘the future of exercise science’, while co-author Professor Rose Yu said its methods could be widely applied across healthcare and fitness.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

FDA and patent law create dual hurdles for AI-enabled medical technologies

AI reshapes healthcare by powering more precise and adaptive medical devices and diagnostic systems.

Yet, innovators face two significant challenges: navigating the US Food and Drug Administration’s evolving regulatory framework and overcoming legal uncertainty under US patent law.

These two systems, although interconnected, serve different goals. The FDA protects patients, while patent law rewards invention.

The FDA’s latest guidance seeks to adapt oversight for AI-enabled medical technologies that change over time. Its framework for predetermined change control plans allows developers to update AI models without resubmitting complete applications, provided updates stay within approved limits.

An approach that promotes innovation while maintaining transparency, bias control and post-market safety. By clarifying how adaptive AI devices can evolve safely, the FDA aims to balance accountability with progress.

Patent protection remains more complex. US courts continue to exclude non-human inventors, creating tension when AI contributes to discoveries.

Legal precedents such as Thaler vs Vidal and Alice Corp. vs CLS Bank limit patent eligibility for algorithms or diagnostic methods that resemble abstract ideas or natural laws. Companies must show human-led innovation and technical improvement beyond routine computation to secure patents.

Aligning regulatory and intellectual property strategies is now essential. Developers who engage regulators early, design flexible change control plans and coordinate patent claims with development timelines can reduce risk and accelerate market entry.

Integrating these processes helps ensure AI technologies in healthcare advance safely while preserving inventors’ rights and innovation incentives.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot! 

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.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot! 

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!