""The world we live in today is dominated by artificial intelligence (AI). The way you make AI smarter is by training it on more and more data. This data-intensive training leads to a massive power-consumption problem.""
""Because the brain is five orders of magnitude more energy efficient than a digital computer, it makes sense to look to the brain for inspiration for next-generation computing.""
Engineers at Northwestern University have developed artificial neurons that can generate electrical signals to activate living brain cells. These flexible, low-cost devices demonstrated biocompatibility by successfully triggering responses in mouse brain tissue. This innovation could lead to direct communication between electronics and the nervous system, impacting neuroprosthetics and brain-machine interfaces. Additionally, mimicking brain signaling may enable more energy-efficient computing systems, addressing the power consumption challenges of current AI technologies.
#artificial-neurons #brain-machine-interfaces #energy-efficient-computing #neuroprosthetics #biocompatibility
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