Enhancing Wearable and Autonomous Systems
UC San Diego Creates Brain-Inspired AI Hardware
Researchers use protonic nickelate to build energy-efficient neuromorphic chips for wearables.
A close-up view of a high-tech neuromorphic chip with intricate glowing circuits that look like human brain connections.
Photo: Avantgarde News
Researchers at UC San Diego have developed a new computing architecture inspired by the human brain [1]. This neuromorphic technology uses protonic nickelate device networks to create energy-efficient AI hardware [1]. The innovation mimics biological processes to improve how machines handle information [1]. The new architecture allows for faster local data processing within devices [1]. This capability is expected to significantly improve the functionality of wearable medical sensors and autonomous machines [1]. By processing data on-site, these systems reduce the energy demands associated with cloud connectivity [1].
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Avantgarde News Desk covers enhancing wearable and autonomous systems and editorial analysis for Avantgarde News.