New TranslateGemma models support 55 languages efficiently

A new suite of open translation models, TranslateGemma, has been launched, bringing advanced multilingual capabilities to users worldwide. Built on the Gemma 3 architecture, the models support 55 languages and come in 4B, 12B, and 27B parameter sizes.

The release aims to make high-quality translation accessible across devices without compromising efficiency.

TranslateGemma delivers impressive performance gains, with the 12B model surpassing the 27B Gemma 3 baseline on WMT24++ benchmarks. The models achieve higher accuracy while requiring fewer parameters, enabling faster translations with lower latency.

The 4B model also performs on par with larger models, making it ideal for mobile deployment.

The development combines supervised fine-tuning on diverse parallel datasets with reinforcement learning guided by advanced metrics. TranslateGemma performs well in high- and low-resource languages and supports accurate text translation within images.

Designed for flexible deployment, the models cater to mobile devices, consumer laptops, and cloud environments. Researchers and developers can use TranslateGemma to build customised translation solutions and improve coverage for low-resource languages.

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MetaMask adds native Tron support across all platforms

MetaMask has launched native Tron support on mobile and in the browser, completing its integration with the Tron DAO, announced last August. The move strengthens MetaMask’s shift towards a fully multichain strategy beyond its Ethereum roots.

Tron-based assets, decentralised applications, staking, and USDT transfers can now be managed directly within MetaMask’s self-custody wallet. Users can swap assets across Tron, EVM chains, Solana, and Bitcoin without extra wallet software.

The integration connects MetaMask to Tron, one of the busiest stablecoin networks, with $21 billion in daily transfers and millions of active wallets. Tron’s strong presence in payments and decentralised finance adds further scale to MetaMask’s growing multichain offering.

Consensys, the developer behind MetaMask, has accelerated expansion beyond Ethereum as user activity increasingly spans multiple blockchain ecosystems. After adding Solana and Bitcoin, the integration with Tron further strengthens MetaMask as a cross-chain platform beyond Ethereum.

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Qalb brings Urdu-language AI to Pakistan

Pakistan has launched its own Urdu-focused generative AI model, Qalb, trained on 1.97 billion tokens and evaluated across more than seven international benchmarking frameworks. The developers say the model outperforms existing Urdu-language systems on key real-world performance indicators.

With Urdu spoken by over 230 million people worldwide, Qalb aims to expand access to advanced AI tools in Pakistan’s national language. The model is designed to support local businesses, startups, education platforms, digital services, and voice-based AI agents.

Qalb was developed by a small team led by Taimoor Hassan, a serial entrepreneur who has launched and exited multiple startups and previously won the Microsoft Cup. He completed his undergraduate studies in computer science in Pakistan and is currently pursuing postgraduate education in the United States.

‘I had the opportunity to contribute in a small way to a much bigger mission for the country,’ Hassan said, noting that the project was built with his former university teammates Jawad Ahmed and Muhammad Awais. The group plans to continue refining localised AI models for specific industries.

The launch of Qalb highlights how smaller teams can develop advanced AI tools outside major technology hubs. Supporters say Urdu-first models could help drive innovation across Pakistan’s digital economy.

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OpenAI invests in Merge Labs to advance brain-computer interfaces

The US AI company, OpenAI, has invested in Merge Labs as part of a seed funding round, signalling a growing interest in brain-computer interfaces as a future layer of human–technology interaction.

Merge Labs describes its mission as bridging the gap between biology and AI to expand human capability and agency. The research lab is developing new BCI approaches designed to operate safely while enabling much higher communication bandwidth between the brain and digital systems.

AI is expected to play a central role in Merge Labs’ work, supporting advances in neuroscience, bioengineering and device development instead of relying on traditional interface models.

High-bandwidth brain interfaces are also expected to benefit from AI systems capable of interpreting intent under conditions of limited and noisy signals.

OpenAI plans to collaborate with Merge Labs on scientific foundation models and advanced tools, aiming to accelerate research progress and translate experimental concepts into practical applications over time.

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Ransomware gang Everest claims data breach at Nissan Motor Corporation

Nissan Motor Corporation has been listed on the dark web by the Everest ransomware group, which is threatening to release allegedly stolen data within days unless a ransom is paid. The group claims to have exfiltrated around 900 gigabytes of company files.

Everest published sample screenshots showing folders linked to marketing, sales, dealer orders, warranty analysis, and internal communications. Many of the files appear to relate to Nissan’s operations in Canada, although some dealer records reference the United States.

Nissan has not issued a public statement about the alleged breach. The company has been contacted for comment, but no confirmation has been provided regarding the nature or scale of the incident.

Everest began as a ransomware operation in 2020 but is now believed to focus on gaining and selling network access using stolen credentials, insider recruitment, and remote access tools. The group is thought to be Russian-speaking and continues to recruit affiliates through its leak site.

The Nissan listing follows recent claims by Everest involving Chrysler and ASUS. In those cases, the group said it had stolen large volumes of personal and corporate data, with ASUS later confirming a supplier breach involving camera source code.

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Microsoft disrupts global RedVDS cybercrime network

Microsoft has launched a joint legal action in the US and the UK to dismantle RedVDS, a subscription service supplying criminals with disposable virtual computers for large-scale fraud. The operation with German authorities and Europol seized key domains and shut down the RedVDS marketplace.

RedVDS enabled sophisticated attacks, including business email compromise and real estate payment diversion schemes. Since March 2025, it has caused about US $40 million in US losses, hitting organisations like H2-Pharma and Gatehouse Dock Condominium Association.

Globally, over 191,000 organisations have been impacted by RedVDS-enabled fraud, often combined with AI-generated emails and multimedia impersonation.

Microsoft emphasises that targeting the infrastructure, rather than individual attackers, is key. International cooperation disrupted servers and payment networks supporting RedVDS and helped identify those responsible.

Users are advised to verify payment requests, use multifactor authentication, and report suspicious activity to reduce risk.

The civil action marks the 35th case by Microsoft’s Digital Crimes Unit, reflecting a sustained commitment to dismantling online fraud networks. As cybercrime evolves, Microsoft and partners aim to block criminals and protect people and organisations globally.

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MIT tool combines AI and physics for 3D printing

MIT researchers have developed a generative AI system called MechStyle that allows users to personalise 3D-printed objects while ensuring they remain durable and functional.

The tool combines AI-driven design with physics simulations, allowing everyday items such as vases, hooks, and glasses to be customised without compromising structural integrity.

Users can upload their own 3D models or select presets and use text or image prompts to guide the design. MechStyle modifies the geometry and simulates stress points to maintain strength, enabling unique, tactile, and usable creations.

The system can personalise aesthetics while preserving functionality, even for assistive devices like finger splints and utensil grips.

To optimise performance, MechStyle employs an adaptive scheduling strategy that checks only the critical areas of a model, reducing computation time. Early tests of 30 objects, including designs resembling bricks, cacti, and stones, showed up to 100% structural viability.

The tool offers a freestyle mode for rapid experimentation and a careful mode for analysing the effects of modifications. Researchers plan to expand MechStyle to generate entirely new 3D models from scratch and improve faulty designs.

The project reflects collaboration with Google, Stability AI, and Northeastern University and was presented at the ACM Symposium on Computational Fabrication. Its potential extends to personal items, home and office décor, and even commercial prototypes for retail products.

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EMA and FDA set AI principles for medicine

The European Medicines Agency (EMA) and the US Food and Drug Administration (FDA) have released ten principles for good AI practice in the medicines lifecycle. The guidelines provide broad direction for AI use in research, clinical trials, manufacturing, and safety monitoring.

The principles are relevant to pharmaceutical developers, marketing authorisation applicants, and holders, and will form the basis for future AI guidance in different jurisdictions. EU guideline development is already underway, building on EMA’s 2024 AI reflection paper.

European Commissioner Olivér Várhelyi said the initiative demonstrates renewed EU-US cooperation and commitment to global innovation while maintaining patient safety.

AI adoption in medicine has grown rapidly in recent years. New pharmaceutical legislation and proposals, such as the European Commission’s Biotech Act, highlight AI’s potential to accelerate the development of safe and effective medicine.

A principles-based approach is seen as essential to manage risks while promoting innovation.

The EMA-FDA collaboration builds on prior bilateral work and aligns with EMA’s strategy to leverage data, digitalisation, and AI. Ethics and safety remain central, with a focus on international cooperation to enable responsible innovation in healthcare globally.

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AI-assisted money management adoption rises

Young adults in the UK are increasingly turning to AI for help with managing their finances, as many struggle to save and maintain control over spending.

A survey of 5,000 adults aged 28 to 40 found that impulse purchases and weak self-discipline frequently undermine savings, while most feel they could improve their financial knowledge.

AI-powered financial tools are gaining traction, particularly among those aged 28 to 34. Nearly two-thirds of respondents would trust AI to advise on disposable income, and over half would allow it to manage bills or prevent overdrafts.

However, nearly a quarter prefer to start with limited use, seeking proof of value before full engagement.

Regional differences highlight the uneven financial landscape in the UK. Londoners save significantly more than the national average, while cities such as Newcastle and Cardiff lag far behind.

Experts suggest fintech solutions must balance behavioural support with practical assistance and consider regional disparities to be effective.

Fintechs should prioritise tools that deliver immediate value over purely aspirational AI features. Modular tools and age- or region-specific solutions are likely to engage users, especially older millennials with rising financial responsibilities.

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Russia moves to allow retail crypto access

Russia is moving to integrate cryptocurrency into everyday finance as lawmakers prepare a bill to allow retail participation under clear limits. The draft would remove crypto from special regulation, signalling broader adoption for the public.

Under the proposed framework, non-qualified investors would be able to buy crypto up to 300,000 rubles, roughly $3,800. Officials emphasise that these limits aim to prevent excessive speculation while providing controlled exposure to digital assets.

The move marks a significant change after years of tight restrictions and cautious oversight from financial authorities.

The legislation is designed with international use in mind, allowing tokens issued in Russia to participate in foreign markets and supporting cross-border settlements. Policymakers aim to integrate crypto into the economy while protecting retail investors.

Regulators, including the Bank of Russia and the Finance Ministry, continue to stress the importance of risk management. Limits and risk checks will ensure retail crypto use remains secure.

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