Why People Confuse AI with Quantum Computing and Why You Should Care

AI focuses on learning patterns from data to make decisions; quantum computing focuses on raw computational power for complex problems like molecular simulation and code-breaking.
American Institute of Physics

Tracing fluorescence tracking’s past, present, and future

Artificial intelligence and parallel computing could refine studies of the movement of single molecules inside cells.
IEEE

Sparse Matrix Reordering Method Selection with Parallel Computing and Deep Learning

Abstract: Sparse matrix reordering is an important step in Cholesky decomposition. By reordering the rows and columns of the matrix, the time of computation and storage cost can be greatly reduced.
IEEE

DBP-CIM: Energy-Efficient 8T SRAM-Based Diagonal-Block Parallel Computing-in-Memory With Compact Data Layout for Arithmetic Operations

Abstract: In this work, an energy-efficient bit-parallel static random-access memory (SRAM)-based computing-in-memory (SRAM-CIM) is proposed for general-purpose in-memory arithmetic operations to ...