ai

Oracle and Microsoft partner to bring real-time AI insights into supply chains

Oracle announced a collaboration with Microsoft aimed at improving supply chain responsiveness and efficiency. The project centres on a new integration blueprint that bridges Oracle Fusion Cloud SCM with Microsoft Azure IoT Operations and Microsoft Fabric.

Under this plan, sensor and equipment data from factory floors is captured in real time via Azure IoT and forwarded through Fabric. That data will then feed directly into Oracle SCM workflows.

The goal: more visibility, faster decisions and automated responses, such as triggering maintenance, quality checks or inventory adjustments.

Among the features highlighted are secure, real-time intelligence and data flows from shop floor equipment into enterprise systems, automated business events that respond to changes (e.g. imbalance, faults, demand shifts), standardised best practices with reference architectures and prescriptive guidance for integration and embedded AI assistant capabilities in SCM to augment decision making and resilience.

Oracle frames this as part of its Smart Operations vision, where systems are more connected and responsive by design. Microsoft emphasises that Azure’s edge processing and Fabric’s real-time analytics are critical to turning raw IoT signals into actionable business events.

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Apple launches M5 with bigger AI gains

Apple unveiled the M5 chip, targeting a major jump in on-device AI. Apple says peak GPU compute for AI is over four times M4, with a Neural Accelerator in each of the 10 GPU cores.

The CPU pairs up to four performance cores with six efficiency cores for up to 15 percent faster multithreaded work versus M4. A faster 16-core Neural Engine and higher unified memory bandwidth at 153 GB/s aim to speed Apple Intelligence features.

Graphics upgrades include third-generation ray tracing and reworked caching for up to 45 percent higher performance than M4 in supported apps. With the help of AI, Apple notes smoother gameplay and quicker 3D renders, plus Vision Pro refresh up to 120 Hz.

The M5 chip reaches the 14-inch MacBook Pro, iPad Pro, and Apple Vision Pro, with pre-orders open. Apple highlights tighter tie-ins with Core ML, Metal 4 and Tensor APIs, and support for larger local models via unified memory up to 32 GB.

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Growth of AI increases water and energy demands

AI data centres in Scotland use enough tap water to fill over 27 million half-litre bottles annually, BBC News reports. The number of centres has quadrupled since 2021, with AI growth increasing energy and water use, though it remains a small fraction of the national supply.

Scottish Water urges developers to adopt closed-loop cooling or treated wastewater instead of relying only on mains water. Open-loop systems, still used in many centres, consume vast amounts of water, but closed-loop alternatives can reduce demand, though they may increase energy usage.

Experts warn that AI data centres have a significant carbon footprint as well. Analysis from the University of Glasgow estimates the energy use of Scottish centres could equate to each person in the country driving an extra 145 kilometres per year.

Academic voices have called for greater transparency from tech companies and suggested carbon targets and potential penalties to ensure sustainable growth.

The Scottish government and industry stakeholders are promoting ‘green’ AI development, citing Scotland’s cool climate, renewable energy resources, and local expertise. Developers are urged to balance AI expansion with Scotland’s net zero and resource sustainability goals.

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Report warns of AI-driven divide in higher education

A new report from the Higher Education Policy Institute warns of an urgent need to improve AI literacy among staff and students in the UK. The study argues that without coordinated investment in training and policy, higher education risks deepening digital divides and losing relevance in an AI-driven world.

British report contributors say universities must move beyond acknowledging AI’s presence and instead adopt structured strategies for skill development. Kate Borthwick adds that both staff and students require ongoing education to manage how AI reshapes teaching, assessment, and research.

The publication highlights growing disparities in access and use of generative AI based on gender, wealth, and academic discipline. In a chapter written by ChatGPT, the report suggests universities create AI advisory teams within research offices and embed AI training into staff development programmes.

Elsewhere, Ant Bagshaw from the Australian Public Policy Institute warns that generative AI could lead to cuts in professional services staff as universities seek financial savings. He acknowledges the transition will be painful but argues that it could drive a more efficient and focused higher education sector.

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Vietnam unveils draft AI law inspired by EU model

Vietnam is preparing to become one of Asia’s first nations with a dedicated AI law, following the release of a draft bill that mirrors key elements of the EU’s AI Act. The proposal aims to consolidate rules for AI use, strengthen rights protections and promote innovation.

The law introduces a four-tier system for classifying risks, from banned applications such as manipulative facial recognition to low-risk uses subject to voluntary standards. High-risk systems, including those in healthcare or finance, would require registration, oversight and incident reporting to a national database.

Under the law, companies deploying powerful general-purpose AI models must meet strict transparency, safety and intellectual property standards. The law would create a National AI Commission and a National AI Development Fund to support local research, sandboxes and tax incentives for emerging businesses.

Violations involving unsafe AI systems could lead to revenue-based fines and suspensions. The phased rollout begins in January 2026, with full compliance for high-risk systems expected by mid-2027. The government of Vietnam says the initiative reflects its ambition to build a trustworthy AI ecosystem.

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UK government uses AI to boost efficiency and save taxpayer money

The UK government has developed an AI tool, named ‘Consult’, which analysed over 50,000 responses to the Independent Water Commission review in just two hours. The system matched human accuracy and could save 75,000 days of work annually, worth £20 million in staffing costs.

Consult sorted responses into key themes at a cost of just £240, with experts needing only 22 hours to verify the results. The AI agreed with human experts 83% of the time, versus 55% between humans, letting officials focus on policy instead of administrative work.

The technology has also been used to analyse consultations for the Scottish government on non-surgical cosmetics and the Digital Inclusion Action Plan. Part of the Humphrey suite, the tool helps government act faster and deliver better value for taxpayers.

Digital Government Minister Ian Murray highlighted the potential of AI to deliver efficient services and save costs. Engineers are using insights from Consult and Redbox to develop new tools, including GOV.UK Chat, a generative AI chatbot soon to be trialled in the GOV.UK App.

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Humanity AI launches $500M initiative to build a people-centred future

A coalition of ten leading philanthropic foundations has pledged $500 million over five years to ensure that AI evolves in ways that strengthen humanity rather than marginalise it.

The initiative, called Humanity AI, brings together organisations such as the Ford, MacArthur, Mellon, and Mozilla foundations to promote a people-driven vision for AI that enhances creativity, democracy, and security.

As AI increasingly shapes every aspect of daily life, the coalition seeks to place citizens at the centre of the conversation instead of leaving decisions to a few technology firms.

It plans to support new research, advocacy, and partnerships that safeguard democratic rights, protect creative ownership, and promote equitable access to education and employment.

The initiative also prioritises the ethical use of AI in safety and economic systems, ensuring innovation does not come at the expense of human welfare.

John Palfrey, president of the MacArthur Foundation, said Humanity AI aims to shift power back to the public by funding technologists and advocates committed to responsible innovation.

Michele Jawando of the Omidyar Network added that the future of AI should be designed by people collectively, not predetermined by algorithms or corporate agendas.

Rockefeller Philanthropy Advisors will oversee the fund, which begins issuing grants in 2026. Humanity AI invites additional partners to join in creating a future where people shape technology instead of being shaped by it.

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Meta expands AI infrastructure with sustainable data centre in El Paso

The US tech giant, Meta, has begun construction on a new AI-optimised data centre in El Paso, Texas, designed to scale up to 1GW and power the company’s expanding AI ambitions.

The 29th in Meta’s global network, the site will support the next generation of AI models, underpinning technologies such as smart glasses, AI assistants, and real-time translation tools.

A data centre project that represents a major investment in both technology and the local community, contributing over $1.5 billion and creating about 1,800 construction jobs and 100 operational roles in its first phase.

Meta’s Community Accelerator programme will also help local businesses build digital and AI skills, while Community Action Grants are set to launch in El Paso next year.

Environmental sustainability remains central to the development. The data centre will operate on 100% renewable energy, with Meta covering the costs of new grid connections through El Paso Electric.

Using a closed-loop cooling system, the facility will consume no water for most of the year, aligning with Meta’s target to be water positive by 2030. The company plans to restore twice the amount of water used to local watersheds through partnerships with DigDeep and the Texas Water Action Collaborative.

The El Paso project, Meta’s third in Texas, underscores its long-term commitment to sustainable AI infrastructure. By combining efficiency, clean energy, and community investment, Meta aims to build the foundations for a responsible and scalable AI-driven future.

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SenseTime and Cambricon strengthen cooperation for China’s AI future

SenseTime and Cambricon Technologies have entered a strategic cooperation agreement to jointly develop an open and mutually beneficial AI ecosystem in China. The partnership will focus on software-hardware integration, vertical industry innovation, and the globalisation of AI technologies.

By combining SenseTime’s strengths in large model R&D, AI infrastructure, and industrial applications with Cambricon’s expertise in intelligent computing chips and high-performance hardware, the collaboration supports the national ‘AI+’ strategy of China.

Both companies aim to foster a new AI development model defined by synergy between software and hardware, enhancing domestic innovation and global competitiveness in the AI sector.

The agreement also includes co-development of adaptive chip solutions and integrated AI systems for enterprise and industrial use. By focusing on compatibility between the latest AI models and hardware architectures, the two firms plan to offer scalable, high-efficiency computing solutions.

A partnership that seeks to drive intelligent transformation across industries and promote the growth of emerging AI enterprises through joint innovation and ecosystem building.

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Wider AI applications take centre stage at Japan’s CEATEC electronics show

At this year’s CEATEC exhibition in Japan, more companies and research institutions are promoting AI applications that stretch well beyond traditional factory or industrial automation.

Innovations on display suggest an increasing emphasis on ‘AI as companion’ systems, tools that help, advise, or augment human abilities in everyday settings.

Fujitsu’s showcase is a strong example. The company is using AI skeleton recognition and agent-based analysis to help people improve movement, whether for sports performance (such as refining a golf swing) or for healthcare settings. These systems give live feedback, coaching form, and offer suggestions, all in real time.

Other exhibits combine sensor tech, vision, and AI in consumer-friendly ways. For example, smart fridge compartments that monitor produce, earbuds or glasses that recognise real-world context (a flyer in a shop, say) and suggest recipes, or wearable systems that adapt to your motion.

These are not lab demos, they’re meant for direct, everyday interaction. Rising numbers of startups and university groups at CEATEC underscore Japan’s push toward embedding AI deeply in daily life.

The ‘AI for All’ theme and ‘Partner Parks’ at the show reflect a movement toward socially oriented technologies, with suggestions, health, ease, and personalisation. Japan seems to be leaning into AI not just for productivity gains but for lifestyle and well-being enhancements.

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