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Keys to AI success: Security, sustainability, and overcoming silos

NetApp has shed light on the pressing issues faced by organisations globally as they strive to optimise their strategies for AI success. “2025 is shaping up to be a defining year for AI, as organisations transition from experimentation to scaling their AI capabilities,” said Gabie Boko, NetApp’s Chief Marketing Officer. “Businesses are making significant investments […]

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Machine unlearning: Researchers make AI models ‘forget’ data

Researchers from the Tokyo University of Science (TUS) have developed a method to enable large-scale AI models to selectively “forget” specific classes of data. Progress in AI has provided tools capable of revolutionising various domains, from healthcare to autonomous driving. However, as technology advances, so do its complexities and ethical considerations.  The paradigm of large-scale

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Chromia’s Asgard upgrade launches: “New era for DeFi and AI”

Layer 1 relational blockchain Chromia unveils its Asgard mainnet upgrade. Includes new extensions that add specialised capabilities to the blockchain. The Oracle Extension has launched with the AI Inference Extension expected early next year. The Chromia blockchain development team has announced the successful completion of its Asgard mainnet upgrade that introduces new features and capabilities

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Amazon Bedrock gains new AI models, tools, and features

Amazon Web Services (AWS) has announced improvements to bolster Bedrock, its fully managed generative AI service. The updates include new foundational models from several AI pioneers, enhanced data processing capabilities, and features aimed at improving inference efficiency. Dr Swami Sivasubramanian, VP of AI and Data at AWS, said: “Amazon Bedrock continues to see rapid growth

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MHRA pilots ‘AI Airlock’ to accelerate healthcare adoption

The Medicines and Healthcare products Regulatory Agency (MHRA) has announced the selection of five healthcare technologies for its ‘AI Airlock’ scheme. AI Airlock aims to refine the process of regulating AI-driven medical devices and help fast-track their safe introduction to the UK’s National Health Service (NHS) and patients in need. The technologies chosen for this

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