Electrochemical RAM Cross-Point Arrays For An Analog DL Accelerator


A technical paper titled “Retention-aware zero-shifting technique for Tiki-Taka algorithm-based analog deep learning accelerator” was published by researchers at Pohang University of Science and Technology, Korea University, and Kyungpook National University. "We present the fabrication of 4 K-scale electrochemical random-access memory (ECRAM) cross-point arrays for analog neural network... » read more

An adaptive synaptic array using Fowler–Nordheim dynamic analog memory


Abstract "In this paper we present an adaptive synaptic array that can be used to improve the energy-efficiency of training machine learning (ML) systems. The synaptic array comprises of an ensemble of analog memory elements, each of which is a micro-scale dynamical system in its own right, storing information in its temporal state trajectory. The state trajectories are then modulated by a sys... » read more

The DNA of an Artificial Intelligence SoC


Over the past decade, a few advancements have made artificial intelligence (AI) one of the most exciting technologies of our lifetime. In 2012, Geoffrey Everest Hinton demonstrated his generalized back propagation neural network algorithm in the Imagenet challenge, which revolutionized the field of computer vision. However, the math was developed years prior to 2012, and it was the available m... » read more

System Bits: Sept. 26


Spectroscopic science camera While the latest versions of most smartphones contain at least two and sometimes three built-in cameras, researchers at the University of Illinois would like to convince mobile device manufactures to add yet another image sensor as a built-in capability for health diagnostics, environmental monitoring, and general-purpose color sensing applications.   This comes... » read more