IEEE

Bi-Linearity of Back Gated Schottky Barrier Transistors on an Industrial 22nm FDSOI Platform for Efficient In-Hardware Matrix-Vector Multiplication and Addition

Abstract: Machine Learning and AI approaches have stretched traditional hardware to its limits. In-hardware computing is a novel approach that aims to run Matrix-Vector Multiplication operations ...
Fred Hutch

IDS Summer Internship

The Infectious Disease Sciences (IDS) Summer Scholars Internship Program on Infectious Diseases in the Immunocompromised Host is an integral part of our program’s training mission. We are excited to ...
IEEE

Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error

Abstract: Accurate programming of non-volatile memory (NVM) devices in analog in-memory computing (AIMC) cores is critical to achieve high matrix-vector multiplication (MVM) accuracy during deep ...
ahajournals.org

Extracellular Matrix Interactome in Modulating Vascular Homeostasis and Remodeling

The current review mainly focuses on endogenous matrix proteins in blood vessels and discusses the interaction of these matrix proteins with other ECM proteins, cell surface receptors, cytokines, ...