US senators question Meta facial recognition in smart glasses

Three Democratic senators have raised concerns about Meta’s reported exploration of facial recognition in its smart glasses, warning that it could normalise public surveillance. In a letter to CEO Mark Zuckerberg, Senators Edward Markey, Ron Wyden, and Jeff Merkley asked about consent, biometric data, and the risks of misuse.

The lawmakers said the proposed feature ‘risks normalising mass surveillance at a moment when the federal government is using similar tools to intimidate protesters and chill speech. Although facial recognition may offer real benefits for blind and visually impaired users, Meta’s history of failing to protect user privacy raises serious questions about its plan to deploy this technology in its smart glasses.’

‘Americans do not consent to biometric data collection simply by walking down a public street, entering a café, or standing in a crowd,’ the senators added. ‘Yet, the deployment of this technology would appear to do exactly that – subjecting countless individuals to covert identification without notice, without consent, and without any meaningful opportunity to opt out.’ They warned that such practices would erode longstanding expectations of privacy in public spaces, effectively eliminating public anonymity.’

Concerns grew after reports of US Border Patrol and ICE agents using Meta smart glasses. While there is no evidence of facial recognition use, senators argue that adding identification tools to eyewear could expand undetectable surveillance. The letter questions if Meta might link facial data with information from its platforms, enabling real-time identification tied to profiles. Lawmakers warn that this could increase the risks of harassment and targeting.

Meta had previously discontinued facial recognition on Facebook in 2021, citing societal concerns. The senators argue that reintroducing similar technology in wearable devices suggests a shift rather than a retreat. ‘Five years later, Meta appears less worried about those societal concerns and is reportedly planning to deploy facial recognition technology in one of the most dangerous possible settings,’ they wrote.

‘Moreover,’ they continued, ‘Meta is apparently aware of the risks with this technology,’ noting that ‘an internal memo recommended launching the product ‘during a dynamic political environment where many civil society groups that we would expect to attack us would have their resources focused on other concerns.’

‘In other words,’ the senators added, ‘Meta appears to recognise the serious privacy and civil liberties risks of facial recognition but thinks it can avoid attention by slipping the once-abandoned, ethically fraught product back onto the market while the world is distracted by the Trump administration’s daily chaos.’

The senators have asked Meta to clarify how it would obtain consent from both users and bystanders, how long it would retain biometric data, whether it would use it to train AI models, and whether it could share it with law enforcement, including the Department of Homeland Security. The company has been given until 6 April to respond.

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NSA warns of AI supply chain risks in new cybersecurity guidance

The National Security Agency has released new guidance on managing risks across the AI supply chain, highlighting growing cybersecurity concerns tied to AI and machine learning systems. The joint information sheet outlines how organisations can better assess vulnerabilities when deploying or sourcing AI technologies.

The document defines the AI and machine learning supply chain as a combination of key components, including training data, models, software, infrastructure, hardware, and third-party services. Each element can introduce risks affecting confidentiality, integrity, or availability, particularly as advanced tools such as large language models and AI agents become more widely adopted.

Security risks associated with data include bias, poisoning attacks, and exposure via techniques such as model inversion and data extraction. For models, the guidance warns of hidden backdoors, malware, evasion attacks, and model manipulation. Organisations are advised to use trusted sources, perform integrity checks, and maintain verified model registries to mitigate such threats.

The paper also highlights software and infrastructure vulnerabilities, noting that AI systems often rely on complex dependencies that expand the attack surface. Recommended measures include malware scanning, testing, patching, and maintaining software bills of materials. Additional risks arise from third-party services, which may introduce weaknesses through their own supply chains or shared environments.

To manage these risks, organisations are urged to improve visibility across their AI ecosystems, identify suppliers and subcontractors, and require documentation such as AI and software bills of materials. The guidance aligns with frameworks from the National Institute of Standards and Technology and MITRE, reinforcing the need for coordinated approaches to AI supply chain security.

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AI makes strides in mathematical reasoning

AI systems are increasingly being tested on advanced mathematical problems as researchers assess their reasoning abilities. Competitions such as the Putnam exam have become benchmarks for evaluating performance.

Recent results suggest some AI models can achieve scores comparable to top human participants, whilst other tests face scrutiny. Experts caution that such tests may not reflect real-world mathematical research or practical problem-solving.

Researchers have also explored AI-generated proofs for longstanding mathematical questions. Verification tools are being used to confirm results and reduce errors often produced by AI systems.

Mathematicians say AI can support brainstorming and research, but still requires human oversight. Analysts describe performance as uneven, with strong results in some areas and clear limitations in others.

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Exchange Online outage affecting Outlook access resolved by Microsoft

Microsoft has addressed an Exchange Online outage that disrupted access to email and calendar services for users worldwide. The issue affected multiple connection methods, including Outlook on the web, Outlook desktop, and Exchange ActiveSync.

The company first acknowledged the problem early in the day, saying it was investigating reports of users being unable to access their mailboxes. According to a Microsoft 365 admin centre update, several Exchange Online connection protocols were impacted during the outage.

Although Microsoft later reported that telemetry indicated the issue was no longer occurring for most users, some customers continued to experience access problems. At one point, the Office.com portal also displayed an error message, preventing users from logging in.

Microsoft linked the disruption to an issue within its supporting network infrastructure, which affected how traffic was processed. Engineers implemented configuration changes to restore normal service and continue monitoring the platform to ensure stability.

In a later update, Microsoft confirmed that the Exchange Online outage had been mitigated and that services had been restored. The company said it is still investigating the root cause and will provide further details in a post-incident report, while a separate issue affecting Microsoft 365 Copilot web access remains under review.

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Vera CPU by NVIDIA accelerates large-scale AI workloads

NVIDIA has unveiled the Vera CPU, designed specifically for agentic AI and reinforcement learning. It delivers 50% faster performance and double the energy efficiency, already adopted by Alibaba, Meta, ByteDance, Oracle Cloud, CoreWeave, and Lambda.

Vera features 88 Olympus cores, high-bandwidth memory, and advanced multithreading, supporting large-scale AI deployments. Liquid-cooled racks can host over 22,500 concurrent CPU environments, allowing enterprises and research labs to scale agentic AI efficiently.

The CPU integrates with NVIDIA GPUs via NVLink-C2C and includes ConnectX SuperNIC and BlueField-4 DPUs to enhance networking, storage, and security. Early users like Cursor and Redpanda report major gains in AI agent throughput and real-time data processing.

High performance, energy efficiency, and GPU integration make Vera a new standard for faster, scalable, and responsive AI systems. The platform supports coding assistants, reinforcement learning, and large-scale data, making it suitable for enterprise and scientific use.

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AI reshapes India IT services outlook

India’s $300bn outsourcing industry is facing mounting pressure as AI tools threaten to disrupt traditional business models. A recent sell-off in technology stocks reflects investor concern over automation replacing labour-intensive services.

Fears intensified after new AI tools demonstrated the ability to automate legal, compliance and data processes. Analysts warn such advances could reduce demand for routine IT services and reshape client engagements.

Industry leaders in India argue AI will also create opportunities, particularly in consulting and system modernisation. Firms expect partnerships with AI developers to drive new areas of growth despite near-term disruption.

Revenue growth may slow, and hiring could remain subdued as the sector adapts. Analysts in India expect a gradual shift towards outcome-based services while companies invest in new AI capabilities.

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Data centre security evolves with rise of robot dog patrols

Rising demand for AI and cloud computing is driving a surge in data centre construction, pushing operators to adopt new security solutions. Companies are increasingly deploying robotic dogs to patrol sites and monitor operations.

These four-legged machines can inspect equipment, detect anomalies and alert staff before issues escalate. Merry Frayne, senior director of product management at Boston Dynamics, noted a sharp increase in interest as investment in data infrastructure continues to grow.

Developed by firms such as Boston Dynamics and Ghost Robotics, the robots are designed to support rather than replace human guards. Their use can reduce costs by requiring fewer personnel while maintaining continuous monitoring.

The machines can travel long distances on a single charge and operate across both external and internal environments. Some facilities already use them on pre-programmed patrols to collect data and flag unusual activity.

At the same time, competition in robotics is intensifying globally, with companies exploring humanoid and AI-powered systems. Advances from firms like Nvidia and Tesla highlight how automation is expanding beyond security into broader industrial use.

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Advanced AI education unlocks powerful opportunities across Africa

Advanced AI education is expanding across Africa. Google DeepMind has launched new courses to support the next generation of technical learners and reduce the gap between AI talent and opportunities on the continent.

At the same time, the initiative is supported by targeted funding. Google.org is providing $4 million to train lecturers and develop educational toolkits, aiming to strengthen local capacity and scale AI education.

Moreover, the curriculum focuses on practical and technical skills. Learners gain hands-on experience with generative AI models and transformers, including building and fine-tuning language models, moving beyond basic AI literacy.

In addition, the programme is adapted to African contexts. Developed with input from local experts and institutions, such as the African Institute for Mathematical Sciences, the courses include real-world use cases relevant to the continent.

Furthermore, the initiative aims to address Africa’s underrepresentation in AI research. By expanding access to advanced training, it seeks to increase participation and ensure more inclusive global AI development.

Finally, the programme is designed to scale through educators and institutions. Universities and NGOs can integrate the curriculum, supported by training programmes that equip educators to deliver AI courses effectively.

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AI in filmmaking raises job fears as creative roles face pressure

Growing concern over AI in filmmaking emerged at a major conference, where veteran director Steven Spielberg rejected its use as a replacement for human creativity. He emphasised that storytelling should remain in human hands rather than being driven by automation.

Rapid advances in AI video tools have unsettled the industry, raising fears among editors and visual effects workers. Joshua Davies, chief innovation officer at a video platform, pointed to concerns over jobs, copyright and future production methods.

Current tools remain limited, particularly when handling complex camera movements or maintaining consistency across scenes. AI is instead being used to support production by filling gaps where footage cannot be filmed due to time or budget limits.

Studios are already exploring how AI can be integrated into production pipelines following recent disruptions. A fast and low-cost Super Bowl advert highlighted its potential, although human creative input remained essential.

Lower production costs are expected, but full automation is still unlikely in the near term. AI could help independent creators compete, while strong storytelling continues to define success.

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New Microsoft Purview tools target data oversharing and AI governance

Microsoft has announced new integrations between Microsoft Purview and Microsoft Fabric, aimed at helping organisations identify AI-driven data risks, prevent sensitive data from being overshared, and strengthen governance across their data estates.

The updates come as enterprises accelerate AI adoption and face growing pressure to ensure that the data powering those systems is both protected and trustworthy.

Key new capabilities include Data Loss Prevention policies for Fabric workloads such as Warehouse and databases, Insider Risk Management tools that can detect risky actions such as unauthorised data exports from Fabric lakehouses, and new preview features for managing AI data exposure, including the ability to identify sensitive data appearing in Copilot prompts and responses.

Data Security Posture Management tools provide risk assessments to surface unprotected assets and recommend corrective action.

On the governance side, updates to Microsoft Purview Unified Catalogue introduce centralised workflows for data owners to control the publication of data products and run quality checks on unmanaged assets, enabling faster validation at scale.

Microsoft describes the combined offering as an ‘integrated and unified foundation’ that allows organisations to innovate with AI whilst keeping their data protected, governed, and trusted.

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