Steering Material Scientists to Better Memory Devices


IBM researchers propose guidelines for novel analog memory devices to enable fast, energy-efficient and accurate AI hardware accelerators.

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AI Hardware

October 9, 2018

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.

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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.

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AI

July 9, 2018

Novel Synaptic Architecture for Brain Inspired Computing


IBM scientists developed an artificial synaptic architecture, a significant step towards large-scale and energy efficient neuromorphic computing technology.

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IBM Research-Zurich

July 6, 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.

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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.

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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.

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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.

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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....

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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.

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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.

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Systems

December 6, 2017