The development of large-scale AI data centers faces challenges due to legacy decisions on location selection, which often prioritize existing infrastructure over clean energy sources or heat reuse networks. In response, there's a growing trend towards modular, energy-efficient builds that can reduce environmental impact and support flexible deployment. However, retrofitting older sites with high capacity requirements remains difficult, and collaboration between government, energy providers, and infrastructure is still fragmented, hindering the progress of critical AI workloads.
A researcher's work on machine vision and intelligent control systems is enhancing road design with AI-driven models that can adapt to their environment, reducing human error and evolving as needed, benefiting from his academic focus on these areas.
The Royal College of GPs has warned family doctors about the risks of using AI tools to write medical notes, citing potential misinterpretation of conversations and "hallucination" - where the system generates inaccurate information. The Medicines and Healthcare products Regulatory Agency (MHRA) is urging GPs to report any issues with AI scribes through its Yellow Card Scheme, including suspected inaccuracies. A UK GP who recently moved to Canada reported using an AI tool that misinterpreted his conversations with patients, recording notes suggesting they had moved to Canada instead of the UK.
AMD's China Concerns Overshadow Upbeat Sales Forecast for AI. The company has expressed concerns about the impact of China on its sales, despite a forecast that suggests strong demand for artificial intelligence (AI) solutions. AMD is a leading provider of AI chips and software, but it faces challenges in the Chinese market due to trade restrictions and competition from local players.
Doctors in Australia are increasingly using AI digital scribes to help with administrative tasks, raising concerns about sensitive patient data. The use of these AI-powered tools is becoming more widespread among general practitioners (GPs), but experts warn that this could compromise patient confidentiality. For instance, a recent study found that AI scribes can make mistakes when documenting patient information, which could lead to incorrect diagnoses or inappropriate treatment plans. As the healthcare industry continues to adopt AI technology, there is a growing need for stricter regulations and guidelines to ensure the secure storage and handling of sensitive patient data.
Avilom is a blockchain infrastructure integrating AI across its core layers, enabling real-time adaptation, privacy-enhancing protocols, and predictive automation. The platform aims to support next-gen decentralized applications, cross-chain systems, and privacy-aware AI computation. Avilom Labs plans to launch a beta testnet and ecosystem onboarding in Q4 2025, followed by cross-chain neural bridge testing and documentation expansion in Q1 2026. A DAO governance framework and privacy toolkit are slated for Q3 2026, with the mainnet launch expected in Q1 2027.
Amazon Web Services (AWS) is leveraging OpenAI's technology with the launch of "AgentCore", a new AI integration platform that aims to revolutionize the AI landscape. Building on its 20 years of experience in infrastructure services, AWS plans to make agentic AI a reality by providing customers with tools and capabilities to create smarter, safer, and more intuitive agents. The partnership will offer OpenAI's latest artificial intelligence models to Amazon customers for the first time, enhancing its own services and offerings. With the incorporation of OpenAI's 'open weight' models optimized for laptops, AWS aims to provide more efficient and powerful AI capabilities to its customers, accelerating the adoption of AI across enterprises.
Axiomatic.AI has partnered with MPI Corporation and Lightium AG to develop the Intelligent, Autonomous, and Integrated Test Solution (IAITS), a unified AI platform for photonic integrated circuit (PIC) testing. The solution combines Axiomatic_AI's artificial intelligence with MPI Corporation's wafer probing systems and automation software, and Lightium AG's testing infrastructure to accelerate test cycles, reduce iteration times, and enhance human efficiency. IAIT aims to bring fully integrated PIC test solutions to market, addressing the growing complexity of characterizing photonic integrated circuits. The solution is designed for both R&D and high-volume production environments, with a focus on automation, precision, and scalability for next-generation applications.
Bloomberg, a leading financial information and media company, has launched a new initiative to power artificial intelligence (AI) using smaller data centers. The project aims to improve the efficiency of its systems while reducing costs. This move is part of Broadcom's efforts to enhance its AI capabilities.