Keep it Simple: Towards Single-Elemental Phase Change Memory


Scientists publish a new approach to phase change memory using only a single chemical element—antimony—in Nature Materials.

Continue reading

Neuromorphic Computing

July 24, 2018

Capacitor-Based Architecture for AI Hardware Accelerators


A capacitor-based cross-point array for analog neural networks offers potential orders of magnitude improvements in deep learning computations.

Continue reading

AI

July 9, 2018

Unlocking the Promise of Approximate Computing for On-Chip AI Acceleration


IBM scientists present a programmable AI core for multi-domain deep learning training and inference on chip at 2018 VLSI Circuits Symposium.

Continue reading

AI

June 27, 2018

Machine Learning for Analog Accelerators


A machine learning technique for evaluating materials used to make analog accelerators, whose lower power and faster speed can drive deep learning.

Continue reading

AI

June 15, 2018

We’ve Reached the Summit


Summit is based on a fundamentally new architecture spearheaded by IBM Research, where compute power is embedded everywhere data resides.

Continue reading

Government

June 14, 2018

The Future of AI Needs Better Compute: Hardware Accelerators Based...


Analog memory for accurate, faster, lower power neural network training - a major step on the path to hardware accelerators for the next AI breakthroughs.

Continue reading

AI

June 6, 2018

IBM Scientists Demonstrate Mixed-Precision In-Memory Computing for the First Time;...


Appearing today in the peer review journal Nature Electronics, IBM scientists introduce a novel hybrid concept called mixed-precision in-memory computing which combines a von Neumann machine with a computational memory unit....

Continue reading

AI

April 17, 2018

IBM Sets Tera-scale Machine Learning Benchmark Record with POWER9 and...


Today, at IBM THINK in Las Vegas, my colleagues and I are reporting a breakthrough in AI hardware performance using POWER9 with NVIDIA V100 GPUs.

Continue reading

AI

March 20, 2018

The future of hardware is AI


To make great strides in AI, hardware must change. Starting with GPUs, and then evolving to analog devices, and then fault tolerant quantum computers.

Continue reading

Systems

December 6, 2017

IBM Scientists Demonstrate In-memory Computing with 1 Million Devices for...


Today, IBM Research is announcing that its scientists have demonstrated that an unsupervised machine-learning algorithm, running on one million phase change memory (PCM) devices, successfully found temporal correlations in unknown...

Continue reading

AI

October 24, 2017

IBM Research achieves record deep learning performance with new software...


Summary: IBM Research publishes in arXiv close to ideal scaling with new distributed deep learning software which achieved record communication overhead and 95% scaling efficiency on the Caffe deep learning framework...

Continue reading

AI

August 8, 2017