Researchers at the Massachusetts Institute of Technology (MIT) published a report on October 24, 2025, on their work developing a new generation of energy-efficient AI hardware. As reported by MIT News, the research centers on neuromorphic devices—electromechanical components that mimic biological neurons and synapses. Unlike traditional chips (von Neumann architecture), where the processor and memory are separate (requiring large amounts of energy to move data), these "brain-like" devices can process and store information simultaneously. PhD student Miranda Schwacke and her team are working to create a hardware platform that will perform computations with minimal energy consumption. This work is key to creating "sustainable AI" capable of solving complex tasks without the power demands of massive data centers.
MIT Explores "Brain Power" of Sustainable AI with Neuromorphic Devices
