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At MSToronto 2026, researchers showed deep learning models that extract more from routine MRI scans than volume measures alone, and clinicians described uses beyond imaging, but speakers warned that most published MS models have never been tested outside the center that built them. Artificial intelligence (AI) has moved quickly into multiple sclerosis (MS) research, with

Feature | Articles | October 27, 2026 Atomic spectroscopy has quietly gone from counting elements in bulk to counting single nanoparticles, imaging tissue at the micrometer scale, and reading Martian rocks from several meters away. The instruments got smaller, the software got smarter, and the questions they can now answer got a lot more interesting.

Written by Coursera Staff • Updated on Oct 28, 2026 Learn more about federated learning, a decentralized approach to machine learning, and how it ensures data privacy. Explore the working mechanism of federated learning, its use cases, and common implementation challenges. Key takeaways Federated learning is a distributed machine learning approach in which decentralized devices

Deep Reasoning AI and Innolitics Achieve FDA 510(k) Clearance for NeuroDR, AI Software for Neurovascular CT Angiography Fully automated software turns head and neck CTA scans into 3D and curved planar views of the arteries that supply the brain, cleared 105 days after submission Deep Reasoning AI Inc., a company founded by Cornell University artificial

Epic's EULA will be changing in the future as the company works to remove restrictions on training AI off the outputs from Unreal Engine and Metahuman, according to a post on X (formerly Twitter) from Epic CEO Tim Sweeney . On October 26, video game outlet Kotaku published a piece in which the site called

David Sussillo, a computational neuroscientist who has spent almost two decades working at Google Brain and Meta Reality Labs, along with an academic appointment at Stanford University, has had a unique vantage point to view the changing relationship between neuroscience and artificial intelligence (AI). Sussillo talked to The Transmitter about the two fields’ historical roots

Shutterstock / Futurism Whether you use AI in your personal life or not, there is no longer any escaping the grasp of the industry’s tendrils. There are multiple trillions of dollars now resting on AI’s success, much of it bound up in speculative debt. As everybody knows, debt is only an issue if you can’t

Artificial intelligence companies are increasingly reporting incidents in which AI models and agents go rogue, hacking their way into external data and resources to which they had no authorised access. This could cause harm to society and liabilities for AI producers at a time when the largest AI companies are preparing initial public offerings (IPOs)

A machine-learning framework that combines learners’ expressed attitudes with their academic performance and tool-use behavior outperformed conventional and deep-learning baselines across four educational tasks. The study used 50,000 anonymized records from students and teachers to classify sentiment, predict learning improvement, estimate intention to adopt AI tools and rank personalized learning resources. The proposed Dual-Channel Fusion

By Chad Cox Production Editor Embedded Computing Design October 26, 2026 News Image Credit: Astute Group Astute Group will be at Hall C5, Stand 421 during electronica 2026 demonstrating with partner Axelera AI how Axelera AI’s Metis accelerators run AI models inside embedded and edge equipment, turning camera streams into information a machine can act