AI Hardware

Extending 8-bit training breakthroughs to the toughest deep learning models

At NeurIPS 2019, IBM Research continues to advance its 8-bit training platform to improve performance and maintain accuracy for the most challenging emerging deep learning models.

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The path to the “perfect” analog material and system: IBM at IEDM and NeurIPS

Researchers from the IBM AI Hardware Center will showcase at IEDM and NeurIPS new analog devices, algorithmic and architectural solutions, a novel model training technique, and a full custom design.

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Archaeologists Seek to Unearth Mysterious Geoglyphs in Peru Using IBM AI and Geospatial Data

After uncovering a new Nasca Line formation with IBM Watson Machine Learning Accelerator on IBM Power Systems, Yamagata University will deploy IBM PAIRS in the hopes of further discoveries with AI.

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IBM Journal of Research & Development Spotlights AI Hardware

The fourth-quarter issue of the IBM Journal of Research & Development is dedicated to the exploration and deployment of hardware for AI systems. It contains 10 contributions from leading authorities in the fields that summarize the latest state of the art and share new research results.

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Unveiling Analog Memory-based Technologies to Advance AI at VLSI

At the 2019 VLSI, IBM researchers will present three papers that provide novel solutions to AI computing based on analog devices.

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Ultra-Low-Precision Training of Deep Neural Networks

IBM researchers introduce accumulation bit-width scaling, addressing a critical need in ultra-low-precision hardware for training deep neural networks.

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Highly Accurate Deep Learning Inference with 2-bit Precision

IBM Research shares new results at SysML that push the envelope for deep learning inference, enabling high accuracy down to 2-bit precision.

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IBM Launches Research Collaboration Center to Drive Next-Generation AI Hardware

The IBM Research AI Hardware Center, a global research hub to develop next-generation AI hardware and help achieve AI's true potential.

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8-Bit Precision for Training Deep Learning Systems

IBM scientists show, for the first time, successful training of deep neural networks using 8-bit floating point numbers while fully maintaining accuracy.

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Dual 8-Bit Breakthroughs Bring AI to the Edge

IBM researchers showcase new 8-bit breakthroughs in hardware that will take AI further than it’s been before: right to the edge.

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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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