Aug. 11, 2023, 11:02 a.m. | Ryan Daws

AI News www.artificialintelligence-news.com

IBM Research has unveiled a groundbreaking analog AI chip that demonstrates remarkable efficiency and accuracy in performing complex computations for deep neural networks (DNNs). This breakthrough, published in a recent paper in Nature Electronics, signifies a significant stride towards achieving high-performance AI computing while substantially conserving energy. The traditional approach of executing deep neural networks... Read more »


The post IBM Research unveils breakthrough analog AI chip for efficient deep learning appeared first on AI News.

accuracy ai ai chip analog analog ai artificial intelligence chip companies computing deep learning deep-neural-networks deep & reinforcement learning efficiency electronics energy groundbreaking ibm ibm research nature networks neural network neural networks paper performance research

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

AI Engineering Manager

@ M47 Labs | Barcelona, Catalunya [Cataluña], Spain