Artificial intelligence

AI is accelerating the transition to clean energy

AI is playing an increasingly vital role in supporting the transition to clean energy. AI helps optimise power grid operations, plan infrastructure investments, and accelerate the discovery of novel materials for energy generation, storage, and conversion.

While energy-hungry data centres can increase electricity demand, AI applications are helping reduce energy consumption across buildings, transport, and industry.

On electric grids, AI algorithms enhance efficiency, integrate renewable energy sources, and predict maintenance needs to prevent power outages. Grid operators can utilise AI to forecast supply and demand, optimise energy storage, and manage resources in real-time.

Technologies such as smart thermostats, electric vehicle batteries, and AI-managed data centres provide additional flexibility to balance peak demand and supply.

AI also aids long-term planning by helping utilities forecast future infrastructure needs amid growing renewable deployment and climate-related risks. Additionally, AI accelerates the discovery of materials for energy technologies.

At MIT, researchers use AI-guided experiments and robotics to design and test new materials, significantly shortening development times from decades to years.

Through research, modelling, and collaboration, AI is being applied to fusion reactor management, solar cell optimisation, and energy-efficient data centre design. MIT Energy Initiative programmes unite academics, industry, and policymakers to harness AI for a resilient and sustainable energy future.

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AI development by Chinese companies shifts abroad

Leading Chinese technology companies are increasingly training their latest AI models outside the country to maintain access to Nvidia’s high-performance chips, according to a report by the Financial Times. Firms such as Alibaba and ByteDance are shifting parts of their AI development to data centres in Southeast Asia, a move that comes as the United States tightens restrictions on advanced chip exports to China.

The trend reportedly accelerated after Washington imposed new limits in April on the sale of Nvidia’s H20 chips, a key component for developing sophisticated large language models. By relying on leased server space operated by non-Chinese companies abroad, tech firms are able to bypass some of the effects of US export controls while continuing to train next-generation AI systems.

One notable exception is DeepSeek, which had already stockpiled a significant number of Nvidia chips before the export restrictions took effect. The company continues to train its models domestically and is now collaborating with Chinese chipmakers led by Huawei to develop and optimise homegrown alternatives to US hardware.

Neither Alibaba, ByteDance, Nvidia, DeepSeek, nor Huawei has commented publicly on the report, and Reuters stated that it could not independently verify the claims. However, the developments underscore the increasing complexity of global AI competition and the lengths to which companies may go to maintain technological momentum amid geopolitical pressure.

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New alliance between Samsung and SK Telecom accelerates 6G innovation

Samsung Electronics and SK Telecom have taken a significant step toward shaping next-generation connectivity after signing an agreement to develop essential 6G technologies.

Their partnership centres on AI-based radio access networks, with both companies aiming to secure an early lead as global competition intensifies.

Research teams from Samsung and SK Telecom will build and test key components, including AI-based channel estimation, distributed MIMO and AI-driven schedulers.

AI models will refine signals in real-time to improve accuracy, rather than relying on conventional estimation methods. Meanwhile, distributed MIMO will enable multiple antennas to cooperate for reliable, high-speed communication across diverse environments.

The companies believe that AI-enabled schedulers and core networks will manage data flows more efficiently as the number of devices continues to rise.

Their collaboration also extends into the AI-RAN Alliance, where a jointly proposed channel estimation technology has already been accepted as a formal work item, strengthening their shared role in shaping industry standards.

Samsung continues to promote 6G research through its Advanced Communications Research Centre, and recent demonstrations at major industry events highlight the growing momentum behind AI-RAN technology.

Both organisations expect their work to accelerate the transition toward a hyperconnected 6G future, rather than allowing competing ecosystems to dominate early development.

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AI and anonymity intensifies online violence against women

Digital violence against women is rising sharply, fuelled by AI, online anonymity, and weak legal protections, leaving millions exposed.

UN Women warns that abuse on digital platforms often spills into real life, threatening women’s safety, livelihoods, and ability to participate freely in public life.

Public figures, journalists, and activists are increasingly targeted with deepfakes, coordinated harassment campaigns, and gendered disinformation designed to silence and intimidate.

One in four women journalists report receiving online death threats, highlighting the urgent scale and severity of the problem.

Experts call for stronger laws, safer digital platforms, and more women in technology to address AI-driven abuse effectively. Investments in education, digital literacy, and culture-change programmes are also vital to challenge toxic online communities and ensure digital spaces promote equality rather than harm.

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AI scribes help reduce physician paperwork and burnout

A new UCLA Health study finds that AI-powered scribe tools can reduce physicians’ documentation time and may improve work satisfaction. Conducted across 14 specialities and 72,000 patient visits, the trial tested Microsoft DAX and Nabla in real-world clinical settings.

Physicians using Nabla reduced the time spent writing each note by almost 10% compared with usual care, saving around 41 seconds per note. Both AI tools modestly improved burnout, cognitive workload, and work exhaustion, but physician oversight remains essential.

The trial highlighted several limitations, including occasional inaccuracies in AI-generated notes and a single instance of mild patient safety concern. Physicians found the tools easy to use and noted an improvement in patient engagement, with most patients being receptive.

The findings provide timely evidence as healthcare systems increasingly adopt AI scribes. Researchers emphasise that rigorous evaluation is necessary to ensure patient safety and effectiveness, and that further long-term studies across multiple institutions are recommended.

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Warner Music partners with AI song generator Suno

A landmark agreement has been reached between Warner Music and AI music platform Suno, ending last year’s copyright lawsuit that accused the service of using artists’ work without permission.

Fans can now generate AI-created songs using the voices, names, and likenesses of Warner artists who opt in, offering a new way to engage with music.

The partnership will introduce new licensed AI models, including download limits and paid tiers, to prevent a flood of AI tracks on streaming platforms.

Suno has also acquired the live-music discovery platform Songkick, expanding its digital footprint and strengthening connections between AI music and live events.

Music industry experts say the deal demonstrates how AI innovation can coexist with artists’ rights, as the UK government continues consultations on intellectual property for AI.

Creators and policymakers are advocating opt-in frameworks to ensure artists are fairly compensated when their works are used to train AI models.

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HP cuts thousands of jobs as AI reshapes operations

HP plans to cut between 4,000 and 6,000 jobs worldwide by fiscal 2028 as it restructures operations and expands its use of AI across product development and support services.

CEO Enrique Lores said the cuts will hit development, operations and support teams, with the plan aiming to save $1 billion over three years. The company already shed up to 2,000 roles in February under an earlier restructuring plan.

AI-enabled PCs now make up over 30% of HP’s shipments in Q4 ending 31 October, driving strong demand. However, analysts at Morgan Stanley warned that rising memory chip prices fuelled by AI data centre expansion could increase costs for consumer electronics makers.

Lores noted that HP expects the impact to be felt from the second half of fiscal 2026, though existing inventory should cover the first half.

HP projected fiscal 2026 adjusted earnings of $2.90–$3.20 per share, below expectations, with first-quarter profits also falling short of forecasts. Fourth-quarter revenue reached $14.64 billion, slightly ahead of forecasts.

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Advantage2 pushes D-Wave’s quantum computing closer to mainstream use

Quantum computing has long been framed as a future promise, but D-Wave argues real-world use has now arrived. The company says its Advantage2 system is already running complex optimisation tasks for businesses through both cloud and on-premise deployment.

D-Wave highlights a recent physics experiment as evidence of this shift, claiming the system solved a materials-modelling problem that would take a top supercomputer nearly a million years. The result, completed in minutes, serves as a proof point of practical quantum performance.

The company says accessibility is central to its approach, emphasising that Advantage2 can be programmed in Python without specialist quantum expertise. It frames this ease of use as essential to broader adoption beyond research labs.

Industry deployments are cited across logistics, telecoms, and manufacturing. D-Wave points to scheduling gains at Pattison Food Group, network optimisation at NTT Docomo, and faster production planning at Ford Otosan as examples of measurable operational benefits.

Energy efficiency is another focus, with D-Wave stating that each of its six hardware generations draws roughly 12.5 kilowatts. The company argues that this stable power use, paired with rising performance, positions quantum systems as a lower-energy option for hard computational problems.

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AI chatbots misidentify images they created

Growing numbers of online users are turning to AI chatbots to verify suspicious images, yet many tools are failing to detect fakes they created themselves. AFP found several cases in Asia where AI systems labelled fabricated photos as authentic, including a viral image of former Philippine lawmaker Elizaldy Co.

The failures highlight a lack of genuine visual analysis in current models. Many models are primarily trained on language patterns, resulting to inconsistent decisions even when dealing with images generated by the same generative systems.

Investigations also uncovered similar misidentifications during unrest in Pakistan-administered Kashmir, where AI models wrongly validated synthetic protest images. A Columbia University review reinforced the trend, with seven leading systems unable to verify any of the ten authentic news photos.

Specialists argue that AI may assist professional fact-checkers but cannot replace them. They emphasise that human verification remains essential as AI-generated content becomes increasingly lifelike and continues to circulate widely across social media platforms.

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OpenAI clarifies position in sensitive lawsuit

A legal case is underway involving OpenAI and the family of a teenager who had extensive interactions with ChatGPT before his death.

OpenAI has filed a response in court that refers to its terms of use and provides additional material for review. The filing also states that more complete records were submitted under seal so the court can assess the situation in full.

The family’s complaint includes concerns about the model’s behaviour and the company’s choices, while OpenAI’s filing outlines its view of the events and the safeguards it has in place. Both sides present different interpretations of the same interactions, which the court will evaluate.

OpenAI has also released a public statement describing its general approach to sensitive cases and the ongoing development of safety features intended to guide users towards appropriate support.

The case has drawn interest because it relates to broader questions about safety measures within conversational AI systems.

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