MMEC
Project: Ultra Efficient In-Hardware Prototype Using Hyperdimensional Computing (ENERGY). Tech: AI/Hardware. Year 1 Background: The Ultra Efficient In-Hardware Learning Prototype Using Hyperdimensional Computing (ENERGY) seeks to provide an AI HW solution for in-hardware learning. AI proliferation faces a number of technical challenges. Current AI HW is large and power hungry which negatively impacts SWaP.