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Brain-computer interface trials are taking off

MIT Technology Review · 2026-06-19 Cached

Brain-computer interface trials are expanding rapidly, with a growing number of volunteers like Casey Harrell using implants to communicate and regain independence, marking a new phase in neurotechnology.

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The Download: the first brain implant power user and South Korea’s AI obsession

MIT Technology Review · 2026-06-16 Cached

This newsletter covers two stories: Casey Harrell, a man with ALS, becomes the first 'power user' of a brain implant that lets him speak and use the web independently, and explores why South Koreans are far more optimistic about AI than Americans.

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This man with ALS is “the first power user” of a brain implant that lets him speak

MIT Technology Review · 2026-06-15 Cached

Casey Harrell, a man with ALS, has become the first 'power user' of a speech brain-computer interface, using it independently for thousands of hours to speak, browse the web, and work. A study in Nature Medicine reports the device's long-term reliability and expanded capabilities.

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@GoogleDeepMind: Over the past year, we’ve collaborated with global scientific experts to evaluate the system on complex problems. It as…

X AI KOLs · 2026-06-02 Cached

GoogleDeepMind collaborated with global scientific experts to evaluate an AI system that identified new targets for liver fibrosis and fresh approaches to ALS, digesting decades of research.

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End-to-End Intracortical Speech Decoding from Neural Activity

arXiv cs.CL · 2026-05-26 Cached

This paper proposes an end-to-end Conformer-based neural decoder for intracortical speech decoding from a participant with ALS, achieving a 23.80% character error rate without any external language model. It demonstrates that meaningful character-level decoding is possible in a fully end-to-end framework.

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Uniting biological toolkits for a new approach to ALS

Google DeepMind Blog · 2026-05-16 Cached

DeepMind's Co-Scientist AI tool bridges the expertise of two researchers from different biological fields to accelerate ALS research by generating testable hypotheses and identifying RNA-based mechanisms for potential therapies.

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