Research Bits: Apr. 21


Compute-in-memory state space models Researchers from the University of Michigan mapped complex state space models directly onto a compute-in-memory architecture in an example of hardware-software co-design for edge AI. "Compute-in-memory systems offer very high energy efficiency and throughput, but they are rigid and not optimal for convolution and transformer networks. In this study, we s... » read more

Hardware Technologies And Algorithms for Vector Symbolic Architectures (Purdue Univ., Georgia Tech)


A new technical paper titled "Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration" was published by researchers at Purdue University and Georgia Institute of Technology. Abstract "Vector Symbolic Architectures (VSAs) have been widely deployed in various cognitive applications due to their simple and efficient operations. The widesprea... » read more