eLife

Explainable machine learning-assisted exploration of chromatin dynamics reveals chromosome-specific response to serum starvation

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
IEEE

MIX-ACIM: A 28-nm Mixed-Precision Analog Compute-in-Memory With Digital Feature Restoration for Vector-Matrix Multiplication

Abstract: A mixed-precision analog compute-in-memory (Mix-ACIM) is presented for mixed-precision vector-matrix multiplication (VMM). The design features an all-analog current-domain fixed-point (FxP) ...
How-To Geek on MSNOpinion

Python's SymPy Library Makes Math Easy. Here Are 6 Practical Uses

If the mention of algebra conjures bad memories of math classes, a Python library called SymPy could change your mind about ...
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 ...
eeworldonline

What is ‘compute-in-memory’ and why is it important for AI?

If you are running AI workloads, here is something that might surprise you. Your processors are wasting more energy shuffling data around than actually doing the calculations you care about. This ...