Singtel’s data centre arm Nxera has opened its largest data centre in Singapore at Tuas. The facility strengthens Singapore’s role as a regional hub for AI infrastructure.
The Tuas site in Singapore offers 58MW of AI-ready capacity and is described as the country’s highest- power-density data centre. More than 90 per cent of Singapore’s capacity was committed before the official launch.
Nxera said the Singapore facility is hyperconnected through direct access to international and domestic networks. Singapore gains lower latency and improved reliability from integration with a cable landing station.
Singtel said the Tuas development supports rising demand in Singapore for AI, cloud and high performance computing. Nxera plans further expansion in Asia while reinforcing Singapore’s position in digital infrastructure.
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Educators in the US are increasingly using AI to address resource shortages, despite growing frustration with fragmented digital platforms. A new survey highlights rising dependence on AI tools across schools and universities in the US.
The study found many educators in the US juggle numerous digital systems that fail to integrate smoothly. Respondents said constant switching between platforms adds to workload pressures and burnout in the US education sector.
AI use in the US is focused on boosting productivity, with educators applying tools to research, writing and administrative tasks. Many also use AI to support student learning as budgets tighten in the US.
Concerns remain in the US around data security, ethics and system overload. Educators said better integration between AI and learning tools could ease strain and improve outcomes in the US classroom.
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Lawmakers in New York have introduced a bill proposing a three year pause on permits for new data centres. Supporters say rapid expansion linked to AI infrastructure risks straining energy systems in New York.
Concerns in New York focus on rising electricity demand and higher household bills as tech companies scale AI operations. Critics across the US argue local communities bear the cost of supporting large scale computing facilities.
The New York proposal has drawn backing from environmental groups and politicians in the US who want time to set stricter rules. US senator Bernie Sanders has also called for a nationwide halt on new data centres.
Officials in New York say the pause would allow stronger policies on grid access and fair cost sharing. The debate reflects wider US tension between economic growth driven by AI and environmental limits.
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AI is reshaping protein research, enabling scientists to decode complex molecular structures with greater speed and precision. Researchers at the National University of Singapore are using AI to accelerate biomedical discovery and disease research.
Protein function depends on three-dimensional structure, yet experimental mapping remains slow and resource-intensive. A team led by Zhang Yang developed D-I-TASSER, an AI tool that predicts 3D structures of complex multi-domain proteins.
The system combines AI with physics simulations, predicting protein segments before assembling a full structural model. Testing showed roughly 13 percent higher accuracy than existing leading methods, while enabling structural modelling across much of the human proteome.
Future development will expand the framework to RNA structures and protein-protein interactions, including antibody-antigen complexes, with the long-term goal of modelling dynamic protein folding processes inside living cells.
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Employees are adopting generative tools at work faster than organisations can approve or secure them, giving rise to what is increasingly described as ‘shadow AI‘. Unlike earlier forms of shadow IT, these tools can transform data, infer sensitive insights, and trigger automated actions beyond established controls.
For European organisations, the issue is no longer whether AI should be used, but how to regain visibility and control without undermining productivity, as shadow AI increasingly appears inside approved platforms, browser extensions, and developer tools, expanding risks beyond data leakage.
Security experts warn that blanket bans often push AI use further underground, reducing transparency and trust. Instead, guidance from EU cybersecurity bodies increasingly promotes responsible enablement through clear policies, staff awareness, and targeted technical controls.
Key mitigation measures include mapping AI use across approved and informal tools, defining safe prompt data, and offering sanctioned alternatives, with logging, least-privilege access, and approval steps becoming essential as AI acts across workflows.
With the EU AI Act introducing clearer accountability across the AI value chain, unmanaged shadow AI is also emerging as a compliance risk. As AI becomes embedded across enterprise software, organisations face growing pressure to make safe use the default rather than the exception.
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AI dominated the 2026 Super Bowl advertising landscape as brands relied on advanced models instead of traditional high-budget productions.
Many spots showcased AI as both the creative engine behind the visuals and the featured product, signalling a shift toward technology-centred storytelling during the most expensive broadcast event of the year.
Svedka pursued a provocative strategy by presenting a largely AI-generated commercial starring its robot pair, a choice that reignited arguments over whether generative tools could displace human creatives.
Anthropic went in a different direction by using humour to mock OpenAI’s plan to introduce advertisements to ChatGPT, a jab that led to a pointed response from Sam Altman and fuelled an online dispute.
Meta, Amazon and Google used their airtime to promote their latest consumer offerings, with Meta focusing on AI-assisted glasses for extreme activities and Amazon unveiling Alexa+, framed through a satirical performance by Chris Hemsworth about fears of malfunctioning assistants.
Google leaned toward practical design applications instead of spectacle, demonstrating its Nano Banana Pro system transforming bare rooms into personalised images.
Other companies emphasised service automation, from Ring’s AI tool for locating missing pets to Ramp, Rippling and Wix, which showcased platforms designed to ease administrative work and simplify creative tasks.
Hims & Hers adopted a more social approach by highlighting the unequal nature of healthcare access and promoting its AI-driven MedMatch feature.
The variety of tones across the adverts underscored how brands increasingly depend on AI to stand out, either through spectacle or through commentary on the technology’s expanding cultural power.
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Alibaba Group has launched ‘Wonder on Ice,’ an interactive AI showcase at the Milano Cortina 2026 Olympic Winter Games, blending AI and cloud computing to enhance fan engagement. The installation sits in Milan’s Piazza del Castello, set against the historic Castello Sforzesco.
Designed as an immersive space, the showcase highlights AI-powered virtual retail and interactive Olympic experiences. Visitors enter a snow-globe-inspired pavilion where AI guides them through tailored content based on their individual interests.
The opening featured IOC President Kirsty Coventry and Alibaba Chairman Joe Tsai, underscoring a focus on accessibility, sustainability, and global connectivity. The activation also unveiled AIGC Championship winners, with AI-generated winter sports artworks displayed throughout the Games.
Alibaba’s broader Olympic technology programme includes cloud-based broadcasting, AI-driven 360-degree replays, and sustainability systems for energy and carbon optimisation, powered by its Qwen AI models.
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Researchers have found that an AI-enabled digital stethoscope significantly improves the detection of moderate-to-severe valvular heart disease in primary care compared with traditional auscultation. The prospective study was published in the European Heart Journal Digital Health.
In the trial, the AI-assisted device achieved a sensitivity of 92.3 percent for audible valvular disease, more than double the 46.2 percent recorded using standard stethoscopes. The system identified twice as many previously undiagnosed moderate-to-severe cases.
The study involved 357 patients aged 50 and over with cardiovascular risk factors and no known valvular disease. Participants underwent routine clinician examination, along with AI-supported phonocardiogram analysis, with echocardiography used for confirmation.
While specificity was lower for the AI tool, researchers said the technology is intended to support screening rather than replace clinical judgement. Earlier identification could enable faster referral for echocardiography and treatment.
Authors cautioned that increased false positives may raise referral volumes and healthcare costs, highlighting the need for further evaluation. Despite limitations, the findings suggest AI augmentation could strengthen early cardiac screening in primary care settings.
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AI dominated this year’s World Economic Forum, with debate shifting from experimentation to execution. Leaders focused on scaling AI adoption, delivering economic impact, and ensuring benefits extend beyond a small group of advanced economies and firms.
Concerns centred on the risk that AI could deepen global inequality if access to computing, data, power, and financing remains uneven. Without affordable deployment in health, education, and public services, support for AI’s rising energy and infrastructure demands could erode quickly.
Geopolitics has become inseparable from AI adoption. Trade restrictions, export controls, and diverging regulatory models are reshaping access to semiconductors, data centres, and critical minerals, making sovereignty and partnerships as important as innovation.
For developing economies, widespread AI adoption is now a development priority rather than a technological luxury. Blended finance and targeted investment are increasingly seen as essential to fund infrastructure and direct AI toward productivity, resilience, and inclusion.
Discussions under the ‘Blue Davos‘ theme highlighted how AI is embedded in physical and environmental systems, from energy grids to oceans. Choices on governance, financing, and deployment will shape whether AI supports sustainable development or widens existing divides.
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China’s market regulator has fined several companies for impersonating AI services such as DeepSeek and OpenAI’s ChatGPT, citing unfair competition and consumer fraud. The cases form part of a broader crackdown on deceptive practices in the country’s rapidly expanding AI sector.
The State Administration for Market Regulation penalised Shanghai Shangyun Internet Technology for running a fraudulent ChatGPT service on Tencent’s WeChat platform. Regulators said the service falsely presented itself as an official Chinese version of ChatGPT and charged users for AI conversations.
In a separate case, Hangzhou Boheng Culture Media was fined for operating an unauthorised website offering so-called ‘DeepSeek local deployment’. The site closely replicated DeepSeek’s branding and interface, misleading users into paying for imitation services.
Authorities said knock-off DeepSeek mini-programmes and websites surged in early 2025, involving trademark infringement, brand confusion, and false advertising. Regulators described the enforcement actions as a deterrent aimed at restoring order in the AI marketplace.
The regulator also disclosed penalties in other AI-related cases, including unauthorised access to proprietary algorithms and the use of AI calling software for scams. China is simultaneously updating antitrust rules to address emerging risks linked to algorithm-driven market manipulation.
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