Sustainable development

Amazon expands AI film production tools as Hollywood trials new systems

The US tech giant, Amazon, is preparing a new phase for its proprietary production tools as the company opens a closed beta that will give selected studios early access to its AI systems.

Developers created the technology inside Amazon MGM Studios to improve character consistency across scenes and speed up work in pre and post-production instead of relying on fragmented processes.

The programme begins in March and is expected to deliver initial outcomes by May. Amazon is working with recognised industry figures such as Robert Stromberg, Kunal Nayyar and former Pixar animator Colin Brady to refine the methods.

The company is also drawing on Amazon Web Services and several external language model providers to strengthen performance.

Executives insist the aim is to assist creative teams rather than remove them from the process. The second season of the series ‘House of David’ already used more than 300 AI-generated shots, showing how the technology can support large-scale productions instead of replacing artistic decision-making.

Industry debate continues to intensify as studios explore new automation methods. Netflix also used generative tools for major scenes in ‘The Eternaut’.

Amazon has repeatedly cited AI progress when announcing staff reductions, which added further concern over the long-term effects on employment and creative roles.

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Independent UN AI panel formed to guide evidence-based global governance

UN Secretary-General António Guterres has formally submitted, for consideration and appointment by the United Nations General Assembly, the proposed composition of a new Independent International Scientific Panel on AI, marking a step towards evidence-based global AI governance.

The panel brings together 40 experts from across regions and disciplines, selected through an open global call that attracted more than 2,600 applications, and members serve in a personal and independent capacity.

In his submission to the General Assembly, Guterres said the body would act as the first fully independent global scientific authority focused on closing the AI knowledge gap and assessing real-world impacts across economies and societies.

According to the UN chief, a reliable and unbiased understanding of AI has become essential as technologies reshape governance, labour markets, and social systems at an accelerating speed.

The panel will operate for an initial three-year term, aiming to provide a shared scientific foundation for international cooperation amid rising geopolitical tension and technological competition.

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Tinder tests AI Chemistry feature to cut swipe fatigue and revive engagement

The dating platform is expanding its reliance on AI, with Tinder experimenting with a feature designed to ease swipe fatigue among users.

A tool, known as Chemistry, that builds a picture of each person through optional questions and by reviewing their Camera Roll with permission, offering a more personalised route toward potential matches instead of repetitive browsing.

Match is currently testing the feature only in Australia. Executives say the system allows people to receive a small set of tailored profiles rather than navigating large volumes of candidates.

Tinder hopes the approach will strengthen engagement during a period when registrations and monthly activity remain lower than last year, despite minor improvements driven by AI-based recommendations.

Developers are also refocusing the broader discovery experience to reflect concerns raised by Gen Z around authenticity, trust and relevance.

The platform now relies on verification tools such as Face Check, which Match says cut harmful interactions by more than half instead of leaving users exposed to impersonators.

These moves indicate a shift away from the swipe mechanic that once defined the app, offering more direct suggestions that may improve outcomes.

Marketing investment is set to rise as part of the strategy. Match plans to allocate $50 million to new campaigns that will position Tinder as appealing again, using creators on TikTok and Instagram to reframe the brand.

Strong quarterly revenue failed to offset weaker guidance, yet the company argues that AI features will help shape a more reliable and engaging service for users seeking consistent matches.

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EU tests Matrix protocol as sovereign alternative for internal communication

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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Gemini growth narrows gap in chatbot race

Google’s AI chatbot Gemini has surpassed 750 million monthly users, signalling rapid consumer adoption, according to fourth-quarter 2025 earnings. The figure jumped from 650 million in the previous quarter, reinforcing Gemini’s rapid expansion in the generative AI market.

Competitive positioning remains solid. Meta AI has nearly 500 million users, while ChatGPT leads globally with about 810 million. Ongoing product upgrades and ecosystem integration across Google services have sustained Gemini’s growth momentum.

Gemini 3 has driven adoption, with Google calling it its most advanced model, offering deeper reasoning and more nuanced responses. Leadership called the release a key growth driver, with further investment and updates expected to sustain expansion.

Broader AI demand is also lifting Alphabet’s financial performance. Annual revenue has topped $400 billion for the first time, driven by enterprise API demand and infrastructure growth, including the Ironwood TPU rollout.

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Malaysia enforces a total ban on e-waste imports after corruption probe

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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Carbon Robotics launches plant identification AI for agricultural robots

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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UK startup Polaron secures $8m to scale AI materials technology

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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US security process delays Nvidia chip sales

Nvidia’s plans to export its H200 AI chips to China remain pending nearly two months after US President Donald Trump approved. A national security review is still underway before licences can be issued to Chinese customers.

Chinese companies have delayed new H200 orders while awaiting clarity on licence approvals and potential conditions, according to people familiar with the discussions. The uncertainty has slowed anticipated demand and affected production planning across Nvidia’s supply chain.

In January, the US Commerce Department eased H200 export restrictions to China but required licence applications to be reviewed by the departments of State, Defence, and Energy.

Commerce has completed its analysis, but inter-agency discussions continue, with the US State Department seeking additional safeguards.

The export framework, which also applies to AMD, introduces conditions related to shipment allocation, testing, and end-use reporting. Until the review process concludes, Nvidia and prospective Chinese buyers remain unable to proceed with confirmed transactions.

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MIT develops AI model to speed up materials synthesis

Researchers at the Massachusetts Institute of Technology have developed a generative AI model to guide scientists through the complex process of materials synthesis, a significant bottleneck in materials discovery.

DiffSyn uses diffusion-based AI to suggest multiple synthesis routes for a material, factoring in temperature, reaction time, and precursor ratios. Unlike earlier tools tied to single recipes, DiffSyn reflects the laboratory reality in which multiple pathways can produce the same material.

The system achieved state-of-the-art accuracy on zeolites, a challenging material class used in catalysis and chemical processing. Using DiffSyn’s recommendations, the team synthesised a new zeolite with improved thermal stability, confirming the model’s practical value.

The researchers believe the approach could be extended beyond zeolites to other complex materials, eventually integrating with automated experiments to shorten the path from theoretical design to real-world application dramatically.

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