AI tools deployed to set tailored attendance goals for English schools

England will introduce AI-generated attendance targets for each school, setting tailored improvement baselines based on the context and needs of each school. Schools with higher absence rates will be paired with strong performers for support. Thirty-six new Attendance and Behaviour Hubs will help drive the rollout.

Education Secretary Bridget Phillipson said raising attendance is essential for opportunity. She highlighted the progress made since the pandemic, but noted that variation remains too high. The AI targets aim to disseminate effective practices across all schools.

A new toolkit will guide schools through key transition points, such as the transition from Year 7 to Year 8. CHS South in Manchester is highlighted for using summer family activities to ease anxiety. Officials say early engagement can stabilise attendance.

CHS South Deputy Head Sue Burke said the goal is to ensure no pupil feels left out. She credited the attendance team for combining support with firm expectations. The model is presented as a template for broader adoption.

The policy blends AI analysis with pastoral strategies to address entrenched absence. Ministers argue that consistent attendance drives long-term outcomes. The UK government expects personalised targets and shared practice to embed lasting improvement.

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UAE executes first government payment using Digital Dirham

The United Arab Emirates has completed its first government financial transaction using the Digital Dirham, marking a significant milestone in its transition towards a fully digital economy.

The Ministry of Finance and Dubai Finance carried out the transaction in collaboration with the Central Bank of the UAE, confirming the country’s leadership in advancing next-generation financial technologies.

Part of the Central Bank’s Financial Infrastructure Transformation Programme, the pilot phase of the Digital Dirham aims to accelerate digital payment adoption and strengthen the UAE’s position as a global financial hub.

Senior officials, including Sheikh Mansour bin Zayed Al Nahyan and Sheikh Maktoum bin Mohammed bin Rashid Al Maktoum, described the initiative as a strategic step toward improving transparency, efficiency, and integration across government financial systems.

The first pilot transaction was executed through the government payments platform mBridge, which facilitates instant settlements using central bank digital currencies.

A transaction was completed in under two minutes, demonstrating the system’s technical efficiency and reliability. The mBridge platform, fully integrated with the Digital Dirham initiative, enables secure, intermediary-free settlements, reducing costs while improving accuracy and transparency.

Officials emphasised that the Digital Dirham will serve as a cornerstone for a sustainable digital economy, reinforcing national financial stability and global competitiveness.

The initiative reflects the UAE’s commitment to adopting cutting-edge technologies that promote integration and innovation across the public and private sectors.

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Αnthropic pledges $50 billion to expand the US AI infrastructure

The US AI safety and research company, Anthropic, has announced a $50 billion investment to expand AI computing infrastructure inside the country, partnering with Fluidstack to build data centres in Texas and New York, with additional sites planned.

These facilities are designed to optimise efficiency for Anthropic’s workloads, supporting frontier research and development in AI.

The project is expected to generate approximately 800 permanent jobs and 2,400 construction positions as sites come online throughout 2026.

An investment that aligns with the Trump administration’s AI Action Plan, aiming to maintain the US leadership in AI while strengthening domestic technology infrastructure and competitiveness.

Dario Amodei, CEO and co-founder of Anthropic, highlighted the importance of such an infrastructure in developing AI systems capable of accelerating scientific discovery and solving complex problems.

The company serves over 300,000 business customers, with a sevenfold growth in large accounts over the past year, demonstrating strong market demand for its Claude AI platform.

Fluidstack was selected as Anthropic’s partner for its agility in rapidly deploying high-capacity infrastructure. The collaboration aims to provide cost-effective and capital-efficient solutions to meet the growing demand, ensuring that research and development can continue to be at the forefront of AI innovation.

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EU and Switzerland deepen research ties through Horizon Europe agreement

Switzerland has formally joined Horizon Europe, the EU’s flagship research and innovation programme, together with Digital Europe and the Euratom Research and Training Programme.

An agreement, signed in Bern by Commissioner Ekaterina Zaharieva and Federal Councillor Guy Parmelin, that grants Swiss researchers the same status as their EU counterparts.

They can now lead projects, receive EU funding, and access every thematic pillar, reinforcing cross-border collaboration in fields such as climate technology, digital transformation, and energy security.

The accord, effective from 1 January 2025, also enables Switzerland to become a member of Fusion for Energy in 2026, thereby integrating its researchers into ITER, the world’s largest fusion energy initiative.

Plans include Swiss participation in Erasmus+ from 2027 and in the EU4Health programme once a separate health agreement takes effect.

A development that forms part of a broader package designed to deepen EU–Swiss relations and modernise cooperation frameworks across science, technology, and education.

The European Commission reaffirmed its commitment to finalising ratification of all related agreements, ensuring long-term collaboration and strengthening Europe’s position as a global leader in innovation and research.

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Winning the AI race means winning developers in China, says Huang of Nvidia

Nvidia CEO Jensen Huang said China is ‘nanoseconds’ behind the US in AI and urged Washington to lead by accelerating innovation and courting developers globally. He argued that excluding China would weaken the reach of US technology and risk splintering the ecosystem into incompatible stacks.

Huang’s remarks came amid ongoing export controls that bar Nvidia’s most advanced processors from the Chinese market. He acknowledged national security concerns but cautioned that strict limits can slow the spread of American tools that underpin AI research, deployment, and scaling.

Hardware remains central, Huang said, citing advanced accelerators and data-centre capacity as the substrate for training frontier models. Yet diffusion matters: widespread adoption of US platforms by global developers amplifies influence, reduces fragmentation, and accelerates innovation.

With sales of top-end chips restricted, Huang warned that Chinese firms will continue to innovate on domestic alternatives, increasing the likelihood of parallel systems. He called for policies that enable US leadership while preserving channels to the developer community in China.

Huang framed the objective as keeping America ahead, maintaining the world’s reliance on an American tech stack, and avoiding strategies that would push away half the world’s AI talent.

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Courts signal limits on AI in legal proceedings

A High Court judge warned that a solicitor who pushed an expert to accept an AI-generated draft breached their duty. Mr Justice Waksman called it a gross breach and cited a case from the latest survey.
He noted 14% of experts would accept such terms, which is unacceptable.

Updated guidance clarifies what limited judicial AI use is permissible. Judges may use a private ChatGPT 365 for summaries with confidential prompts. There is no duty to disclose, but the judgment must be the judge’s own.

Waksman cautioned against legal research or analysis done by AI. Hallucinated authorities and fake citations have already appeared. Experts must not let AI answer the questions they are retained to decide.

Survey findings show wider use of AI for drafting and summaries. Waksman drew a bright line between back-office aids and core duties. Convenience cannot trump independence, accuracy and accountability.

For practitioners, two rules follow. Solicitors must not foist AI-drafted expert opinions, and experts should refuse. Within courts, limited, non-determinative AI may assist, but outcomes must be human.

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‘Wooing and suing’ defines News Corp’s AI strategy

News Corp chief executive Robert Thomson warned AI companies against using unlicensed publisher content, calling recipients of ‘stolen goods’ fair game for pursuit. He said ‘wooing and suing’ would proceed in parallel, with more licensing deals expected after the OpenAI pact.

Thomson argued that high-quality data must be paid for and that ingesting material without permission undermines incentives to produce journalism. He insisted that ‘content crime does not and will not pay,’ signalling stricter enforcement ahead.

While criticising bad actors, he praised partners that recognise publisher IP and are negotiating usage rights. The company is positioning itself to monetise archives and live reporting through structured licences.

He also pointed to a major author settlement with another AI firm as a watershed for compensation over past training uses. The message: legal and commercial paths are both accelerating.

Against this backdrop, News Corp said AI-related revenues are gaining traction alongside digital subscriptions and B2B data services. Further licensing announcements are likely in the coming months.

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Suleyman sets limits for safer superintelligence at Microsoft

Microsoft AI says its work toward superintelligence will be explicitly ‘humanist’, designed to keep people at the top of the food chain. In a new blog post, Microsoft AI head Mustafa Suleyman announced a team focused on building systems that are subordinate, controllable, and designed to serve human interests.

Suleyman says superintelligence should not be unbounded. Models will be calibrated, contextualised, and limited to align with human goals. He joined Microsoft last year as its AI CEO, which has begun rolling out its first in-house models for text, voice, and images.

The move lands amid intensifying competition in advanced AI. Under a revised agreement with OpenAI, Microsoft can now independently pursue AGI or partner elsewhere. Suleyman says Microsoft AI will reject race narratives while acknowledging the need to advance capability and governance together.

Microsoft’s initial use cases emphasise an AI companion to help people learn, act, and feel supported; healthcare assistance to augment clinicians; and tools for scientific discovery in areas such as clean energy. The intent is to combine productivity gains with stronger safety controls from the outset.

‘Humans matter more than AI,’ Suleyman writes, casting ‘humanist superintelligence’ as technology that stays on humanity’s team. He frames the programme as a guard against Pandora’s box risks by binding robust systems to explicit constraints, oversight, and application contexts.

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Jensen Huang of Nvidia rules out China Blackwell talks for now

Nvidia CEO Jensen Huang said the company is not in active discussions to sell Blackwell-family AI chips to Chinese firms and has no current plans to ship them. He also clarified remarks about the US-China AI race, saying he intended to acknowledge China’s technical strength rather than predict an outcome.

Huang spoke in Taiwan ahead of meetings with TSMC, as Nvidia expands partnerships and pitches its platforms across regions and industries. The company has added roughly a trillion dollars in value this year and remains the world’s most valuable business despite recent share volatility.

US controls still bar sales of Nvidia’s most advanced data-centre AI chips into China, and a recent bilateral accord did not change that. Officials have indicated approvals for Blackwell remain off the table, keeping a potentially large market out of reach for now.

Analysts say uncertainty around China’s access to the technology feeds broader questions about the durability of hyperscale AI spending. Rivals, including AMD and Broadcom, are racing to win share as customers weigh long-term returns on data-centre buildouts.

Huang is promoting Nvidia’s end-to-end stack to reassure buyers that massive investments will yield productivity gains across sectors. He said he hopes policy environments eventually allow Nvidia to serve China again, but reiterated there are no active talks.

Snap brings Perplexity’s answer engine into Chat for nearly a billion users

Starting in early 2026, Perplexity’s AI will be integrated into Snapchat’s Chat, accessible to nearly 1 billion users. Snapchatters can ask questions and receive concise, cited answers in-app. Snap says the move reinforces its position as a trusted, mobile-first AI platform.

Under the deal, Perplexity will pay Snap $400 million in cash and equity over a one-year period, tied to the global rollout. Revenue contribution is expected to begin in 2026. Snap points to its 943 million MAUs and reaches over 75% of 13–34-year-olds in 25+ countries.

Perplexity frames the move as meeting curiosity where it occurs, within everyday conversations. Evan Spiegel says Snap aims to make AI more personal, social, and fun, woven into friendships and conversations. Both firms pitch the partnership as enhancing discovery and learning on Snapchat.

Perplexity joins, rather than replaces, Snapchat’s existing My AI. Messages sent to Perplexity will inform personalisation on Snapchat, similar to My AI’s current behaviour. Snap claims the approach is privacy-safe and designed to provide credible, real-time answers from verifiable sources.

Snap casts this as a first step toward a broader AI partner platform inside Snapchat. The companies plan creative, trusted ways for leading AI providers to reach Snap’s global community. The integration aims to enable seamless, in-chat exploration while keeping users within Snapchat’s product experience.

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