The US tech giant, Google, has alerted users that more than 40% of Android phones are vulnerable to new malware and spyware due to outdated software. Phones running older versions than Android 13 no longer receive security updates, leaving over a billion users worldwide at risk.
Data shows Android 16 is present on only 7.5% of devices, while versions 15, 14, and 13 still dominate the market.
Slow adoption of updates means many devices remain exposed, even when security patches are available. Google emphasised that outdated phones are particularly unsafe and cannot protect against emerging threats.
Users are advised to upgrade to Android 13 or newer, or purchase a mid-range device that receives regular updates, instead of keeping an old high-end phone without support. Unlike Apple, where most iPhones receive timely updates, older Android devices may never get the necessary security fixes.
The warning highlights the urgent need for users to act immediately to avoid potential data breaches and spyware attacks. Google’s message is clear: using unsupported Android devices is a growing global security concern.
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The European Commission is testing a European open source system for its internal communications as worries grow in Brussels over deep dependence on US software.
A spokesperson said the administration is preparing a solution built on the Matrix protocol instead of relying solely on Microsoft Teams.
Matrix is already used by several European institutions, including the French government, German healthcare bodies and armed forces across the continent.
The Commission aims to deploy it as a complement and backup to Teams rather than a full replacement. Officials noted that Signal currently fills that role but lacks the flexibility needed for an organisation of the Commission’s size.
The initiative forms part of a wider push for digital sovereignty within the EU. A Matrix-based tool could eventually link the Commission with other Union bodies that currently lack a unified secure communication platform.
Officials said there is already an operational connection with the European Parliament.
The trial reflects growing sensitivity about Europe’s strategic dependence on non-European digital services.
By developing home-grown communication infrastructure instead of leaning on a single foreign supplier, the Commission hopes to build a more resilient and sovereign technological foundation.
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UK policymakers are advancing a national strategy to expand the use of AI across public services and the wider economy. The goal is to improve productivity, education, and service delivery while building public confidence in the practical benefits of AI.
As part of this approach, Barnsley has been designated as the UK’s first ‘Tech Town’. The South Yorkshire town will act as a pilot site and blueprint for how AI can be deployed locally and scaled nationwide.
AI integration in Barnsley will focus on public services such as schools and NHS facilities. These applications are intended to show how the technology can support learning, enhance efficiency, and improve service outcomes.
Alongside deployment, skills development and job creation are central to the initiative. Training schemes and AI-focused roles are expected to build local talent and support the government’s AI Opportunities Action Plan.
Delivery of the programme will rely on collaboration between central government, local authorities, public sector workers, and industry partners. Major technology firms, including Microsoft and Cisco, have indicated support, highlighting the role of public–private cooperation in scaling AI adoption.
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Authorities have imposed a full and immediate ban on the import of electronic waste in Malaysia to end the long-standing practice of foreign dumping.
The Anti-Corruption Commission reclassified all e-waste as an absolute prohibition, removing the earlier discretion that allowed limited exemptions. Officials argue that the country should protect its environment rather than accept hazardous materials from other nations.
Authorities have spent years intercepting containers loaded with discarded electronics suspected to contain toxic metals that contaminate soil and water when mishandled.
Environmental groups have repeatedly urged stronger controls, noting that waste from computers, mobile phones and household appliances poses severe risks to human health. The government now insists that firm enforcement must accompany the new restrictions to prevent continued smuggling.
The decision comes amid a widening corruption inquiry into oversight of e-waste. The director-general of the environment department and his deputy have been detained on suspicion of abuse of power. At the same time, investigators have frozen bank accounts and seized cash linked to the case.
The Home Ministry has pledged increased surveillance and warned that Malaysia will safeguard its national security by stopping illegal e-waste at its borders.
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Medical AI promises faster analysis, more accurate pattern detection, and continuous availability, yet most systems still struggle to perform reliably in real clinical environments beyond laboratory testing.
Researchers led by Marinka Zitnik at Harvard Medical School identify contextual errors as a key reason why medical AI often fails when deployed in hospitals and clinics.
Models frequently generate technically sound responses that overlook crucial factors, such as medical speciality, geographic conditions, and patients’ socioeconomic circumstances, thereby limiting their real-world usefulness.
The study argues that training datasets, model architecture, and performance benchmarks must integrate contextual information to prevent misleading or impractical recommendations.
Improving transparency, trust, and human-AI collaboration could allow context-aware systems to support clinicians more effectively while reducing harm and inequality in care delivery.
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Indian Railways has deployed an AI powered Rail Robocop at Visakhapatnam Railway Station in India to strengthen passenger security. The system is designed to patrol platforms and monitor crowds in Visakhapatnam.
The robot, named ASC Arjun, uses facial recognition to compare live images with a database of known criminals in India. Officials said the system recently identified a suspect during routine surveillance in Visakhapatnam.
Once a match was detected, the AI system sent an instant alert to the Railway Protection Force CCTV control room in Visakhapatnam. Officers were able to respond quickly using the automated notification.
Authorities in India say the Rail Robocop will support human staff rather than replace them. Similar AI deployments are expected at other major railway stations in India following trials in Visakhapatnam.
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Zoom is repositioning hybrid offices as intelligent work environments through Zoom Spaces, its AI-first workplace platform for collaboration and space management that gives IT teams centralised oversight while providing employees with consistent tools for meetings, scheduling, and in-office coordination.
New agentic AI features extend Zoom Spaces beyond room booking into proactive workplace assistance. Workspace Reservation now recommends optimal meeting spaces during overlaps, while upcoming voice commands for Zoom Rooms will enable hands-free meeting control and task capture.
Zoom says intelligent offices reduce friction caused by inconsistent technology, double bookings, and disconnected tools. By unifying scheduling and collaboration experiences, the platform aims to streamline movement between remote and in-person work.
The company is also expanding its ecosystem, allowing organisations to run Zoom Meetings on Cisco Rooms and integrate professional production tools through partners such as Vizrt. The strategy focuses on flexibility while maintaining consistent user experiences.
Additional upgrades include premium media capabilities for high-frame-rate video and improved mobile Workspace Reservation features. Zoom says these enhancements position Zoom Spaces as a next-generation hybrid workplace platform built around adaptive AI collaboration.
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Artificial intelligence is transforming car design by generating rapid concept images and exploring new ideas in seconds. Designers can test colours, materials, and forms faster than with traditional sketches.
AI excels at designing components, creating mood boards, and supporting research, yet it struggles with originality. Industry leaders emphasise that developing entirely new models still requires human imagination and creativity.
Many manufacturers have developed internal AI systems trained on their own designs to protect intellectual property. These tools help designers experiment with combinations they might not have considered, offering fresh perspectives while keeping confidential data secure.
While AI is unlikely to replace human designers, it has become an essential tool for staying competitive. By combining computational speed with creative vision, design teams can enhance efficiency, inspire innovation, and explore ideas beyond traditional limits.
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Electronic Arts has entered a multi year partnership with Stability AI to develop generative AI tools for game creation. The collaboration will support franchises such as The Sims, Battlefield and Madden NFL.
The company said the partnership centres on customised AI models that give developers more control over creative processes. Electronic Arts invested in Stability AI during its latest funding round in October.
Executives at Electronic Arts said concerns about job losses are understandable across the gaming industry. The company views AI as a way to enhance specific tasks and create new roles rather than replace staff.
Stability AI said similar technologies have historically increased demand for skilled workers. Electronic Arts added that active involvement in AI development helps the industry adapt rather than react to disruption.
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In a collaboration between Alder Hey Children’s NHS Foundation Trust and the Science and Technology Facilities Council’s Hartree Centre, a new AI-based staff scheduling system has been developed to address the complex task of roster planning in one of Europe’s busiest children’s hospitals.
Clinicians traditionally spend substantial time creating rotas manually, juggling annual leave, absences, working patterns and on-call rules.
The AI system automatically generates balanced on-call schedules by incorporating real-world constraints such as staff skills, availability and patterns, producing fairer and more predictable rotas.
The interface allows clinicians to review and adjust schedules while maintaining human oversight, freeing up time previously spent on spreadsheets and administrative tasks, and potentially improving staff wellbeing and operational efficiency.
Future phases aim to expand the tool toward full workforce management, with the potential for NHS-wide scaling.
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