1. Researchers at the University of Minnesota Twin Cities have developed CRAM technology, which reduces AI processing energy consumption by at least 1000x. 2. CRAM uses a high-density, reconfigurable spintronic in-memory compute substrate to process data within memory cells, eliminating the need for data transfer. 3. This technology significantly improves energy efficiency in AI computing, addressing the high power demands of AI workloads.