A new technical paper titled “Experimental Assessment of Multilevel RRAM-Based Vector-Matrix Multiplication Operations for In-Memory Computing” was published by researchers at IHP (the Leibniz ...
Developed by the Indian Institute of Science, the neuromorphic computing platform is designed to work alongside existing AI hardware, rather than replace it. The Indian Institute of Science (IISc) has ...
A technical paper titled “A large-scale integrated vector-matrix multiplication processor based on monolayer molybdenum disulfide memories” was published by researchers at École Polytechnique Fédérale ...
Sparse matrix computations are prevalent in many scientific and technical applications. In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for ...