العربية · The Impact of AI
Verified reporting, original sources and clear analysis of what changes for people.
2026-09-28 · UK edition · 113 reports across the archive
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The company says Unit 42 will combine frontier models with security expertise to find and validate weaknesses. Independent evidence of coverage, false positives and remediation outcomes is still needed.
A published research system uses pathologists' viewing behaviour to guide slide analysis and reports stronger performance on a lymph-node metastasis task. It has not shown improved patient outcomes.
The Brazilian company announced a second fund and a multiyear buyer agreement. Carbon credits can finance restoration, but future verified removals should be kept separate from AI infrastructure emissions.
Alibaba Cloud used its Hangzhou conference to announce new Qwen models, proprietary processors, an agent-focused cloud and a mobile-agent platform, presenting them as one integrated technology stack.
Google introduced Gemini 3.8 Live with Live Avatar, combining spoken conversation with a real-time visual presence and pointing to a more embodied form of consumer and workplace AI interaction.
Microsoft Research reports that moving some physical-AI inference from a robot's onboard processor to edge or cloud GPUs can improve task success, efficiency and the complexity of workloads the machine can handle.
Google says Gemini 3.8 Flash improves reasoning and coding at the speed and price point of its previous workhorse model, alongside a specialised Flash Cyber version for defensive security tasks.
Google DeepMind released Gemini Robotics ER 2 for building physical agents, reporting gains in safety-instruction following, human-proximity behaviour and reasoning about real environments.
Japanese robotics, automotive, telecoms and industrial groups are adopting NVIDIA's Cosmos, Isaac, Metropolis and Jetson platforms to train and deploy machines that perceive and act in factories and infrastructure.
Qualcomm announced a long-term robotics investment programme and a Japan Robotics Center intended to connect chip design with local manufacturers, researchers and automation specialists.
NVIDIA presented Vera as a CPU optimised for AI-agent tool use, sandbox execution and other tasks that surround model inference inside large AI systems.
The UK government set out a £1.1 billion programme covering semiconductor companies, compute capacity, prototype testing and the engineering skills needed to move chip ideas into products.