1. Researchers at the University of Minnesota have developed a magnetic tunnel junction-based device that could reduce AI energy consumption by over 1,000 times. 2. The device utilizes computational random-access memory (CRAM) to perform computations within memory cells, eliminating the need for data transfers between logic and memory. 3. This innovation aims to enhance energy efficiency and reduce costs in AI computing applications.