Semiconductor Engineering

Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices

“Recent advances in deep learning have been driven by ever-increasing model sizes, with networks growing to millions or even billions of parameters. Such enormous models call for fast and ...
EurekAlert!

A novel deep learning model for medical image segmentation with convolutional neural network and transformer

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...
Channel NewsAsia Singapore

Top ex-Google Brain researchers start AI research company in Tokyo

Two prominent former Google researchers, one of whom was a co-inventor of the “transformer” artificial intelligence architecture that paved the way for the generative AI boom, announced on Thursday ...
Harvard Business School

Topic Classification of Electric Vehicle Consumer Experiences with Transformer-Based Deep Learning

Ha, Sooji, Daniel J Marchetto, Sameer Dharur, and Omar Isaac Asensio. "Topic Classification of Electric Vehicle Consumer Experiences with Transformer-Based Deep Learning." Art. 100195. Patterns 2, no.