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The Emerging Policy Landscape of Brain-Machine Interfaces
As brain-computer interface technologies progress toward practical real-world applications, policymakers must navigate a complex set of issues around privacy, security, consent, enhancement, and more. BCIs hold promise for restoring abilities or augmenting human capacity, but also raise profound questions about agency, identity, and social impacts. Researchers continue advancing device miniaturization and signal processing to reduce risks while expanding uses. Meanwhile, regulation and guidelines are needed to safeguard users and guide innovation responsibly. This overview surveys some of the top policy considerations arising from BCIs' capabilities and current research directions, highlighting the balance between oversight and enabling continued progress.
Intel's Mobileye Auto Chips Charge the Race for Future-Proof Vehicles
Intel's new automotive AI chips optimize computing experiences in vehicles. Mobileye semiconductors aim to future-proof cars with modular, upgradeable hardware to support evolving autonomous functionality over vehicle lifecycles. Success strengthens Intel's automotive presence and establishes its leadership across edge AI applications.
Alexa's AI Supercharge: Inside Amazon's Bold Move to Turbocharge its Virtual Assistant with Generative AI
Amazon is taking Alexa's capabilities to a whole new level by integrating generative AI. This transformation will make Alexa more intuitive, adaptable and human-like. Find out how this game-changing technology works and what it means for the future of how we interact with devices and get things done.
