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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Adobe has updated its Firefly platform to allow unlimited AI image and video generation for paid subscribers, removing the monthly credit limits that previously capped usage. The move marks a shift toward more flexible access to generative AI tools and is positioned as a way to support high-volume creative workflows.
The update reinforces Firefly’s role as an all-in-one creative AI studio. Users can generate images and videos using Adobe’s own Firefly models alongside third-party AI models, bringing multiple generation tools into a single platform.
Unlimited generation is available across the Firefly ecosystem, including the web interface, mobile apps, Firefly Boards, and the browser-based video editor. This expanded access supports collaboration and end-to-end content creation, from ideation to final editing.
The offer applies to Firefly Pro and Firefly Premium subscribers, including plans that previously operated under monthly credit limits. Users who sign up before March 16 will have access to unlimited image and video generation, with video output supported up to 2K resolution.
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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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Cape Town is preparing to introduce AI-assisted cameras to monitor motorists for cellphone use and seatbelt violations. Approval is awaited from the National Director of Public Prosecutions before the technology can be fully deployed.
Similar systems have been in operation in Australia for several years, where drivers face fines and demerit points for offences. Authorities report a noticeable decline in illegal phone use, showing that AI can effectively influence driver behaviour.
The cameras allow law enforcement to focus on other priorities instead of constantly monitoring mobile phone offences. Each AI-detected violation is reviewed by a human before fines are issued, adding a layer of accuracy and transparency.
Motorists retain the right to request camera images if they believe fines were unfairly applied. The Australian model demonstrates that combining technology with human oversight can improve road safety while maintaining accountability for drivers.
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Reports suggest Australia may expand biometric and identity data sharing with US authorities through border security and visa negotiations, granting enforcement agencies broader access to sensitive personal information.
Information reportedly covered includes passport numbers, dates of birth, facial images, fingerprints, and criminal or immigration records. Such access could allow US authorities to query Australian-held databases directly, bypassing traditional legal cooperation procedures.
No official treaty text or confirmation has been released by either government, and responses have remained general, avoiding details about the Enhanced Border Security Partnership negotiations. The absence of transparency has raised concerns among privacy advocates and legal commentators.
Australia and the United States already cooperate through established frameworks such as the Visa Waiver Program, Migration 5 agreements, and the CLOUD Act. Existing mechanisms involve structured, case-by-case data sharing with legal oversight rather than unrestricted database access.
Analysts note that confirmed arrangements differ significantly from claims of open biometric access, though expanding security vetting requirements continue to increase cross-border data flows. Debate is growing over privacy, sovereignty, and the long-term implications of deeper information sharing.
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AI investment is not showing signs of a speculative bubble, according to the Alibaba Group chairman. Instead, he argued at the World Governments Summit in Dubai that current spending is driven by expectations of sustained growth in future computing demand rather than short-term market hype.
At the same time, capital expenditure on AI infrastructure is accelerating rapidly as hyperscalers and model developers expand their capacity. As a result, major companies have almost doubled their annual spending, while projections indicate that global AI-related investment will surpass $500 billion this year and continue to rise.
Moreover, continued confidence in AI scaling laws is reinforcing this investment momentum. Consequently, funding is increasingly channelled towards inference-time scaling to enhance reasoning and accuracy, as well as towards multimodal AI systems that generate video and images and require significant GPU resources.
However, despite strong belief in long-term demand, financial returns remain uncertain. In this context, the Alibaba group chairman noted that many companies are still struggling to clearly demonstrate return on investment, underscoring the tension between long-term AI strategies and short-term financial accountability.
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Carbon Robotics has introduced a new artificial intelligence system designed to identify plant species in real time, changing how weeds are managed in agriculture. The model allows farmers to decide what should be removed directly in the field without retraining machines.
Called the Large Plant Model, the system is trained on more than 150 million plant images gathered from farms across 15 countries. The technology now powers Carbon AI, which controls the company’s autonomous LaserWeeder robots.
Earlier systems required new data labelling whenever unfamiliar weeds appeared or conditions changed. With the new model, farmers can instantly flag unwanted plants through the robot interface, even if the species has never been seen before.
Carbon Robotics says continuous data from its machines will further improve accuracy over time. Backed by more than $185 million in funding, the company aims to scale AI-driven weed control while reducing reliance on herbicides.
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Fresh investment is fuelling Polaron’s ambition to become the intelligence layer for materials science. The London startup raised $8 million to scale its AI platform and expand deployments across automotive, energy and advanced manufacturing.
Founded after seven years of research at Imperial College London, Polaron applies AI to one of manufacturing’s toughest challenges. Its models analyse microscopy images and material performance data to show how processing affects structure and behaviour.
Engineers are already using the platform to speed up analysis that once took thousands of hours. Early commercial projects, including battery electrode design, have delivered energy density gains of more than 10 per cent.
The company is now focusing on generative materials design to explore optimal configurations. The approach aims to shorten the path from laboratory research to large-scale, reliable manufacturing.
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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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