An AI-based approach to microgrids that can restore power more efficiently and reliably in an outage
It’s a story that’s become all too familiar—high winds knock out a power line, and a community can go without power for hours to days, an inconvenience at best and a dangerous situation at worst. UC Santa Cruz Assistant Professor of Electrical and Computer Engineering Yu Zhang and his lab are leveraging tools to improve the efficiency, reliability, and resilience of power systems and have developed an artificial intelligence (AI) -based approach for the smart control of microgrids for power restoration when outages occur.
A team at the University of Florida has developed a new kind of computer chip that uses light with electricity to perform one of the most power-intensive parts of artificial intelligence—image recognition and similar pattern-finding tasks. Using light dramatically cuts the power needed to perform these tasks, with efficiency 10…
Modern artificial intelligence systems rely on moving large amounts of data between memory and processors, a design that limits speed and increases energy use. The human brain works differently: it combines memory and computation within synapses, allowing fast, efficient learning and perception. Replicating this approach in hardware is a central…