AI Hardware

Iso-accuracy Deep Learning Inference with In-memory Computing

Can analog AI hardware support deep learning inference without compromising accuracy? Our research team at IBM Research Europe in Zurich thought so when we started developing a groundbreaking technique that achieves both energy efficiency and high accuracy on deep neural network computations using phase-change memory devices. We believe this could be a way forward in […]

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IBM Research at SPIE 2020: New Architectures and Fabrications for AI Hardware

IBM Research had 21 papers accepted to SPIE, and throughout the four-day conference IBM researchers will present on topics ranging from EUV lithography, patterning materials, etch, selective deposition, and novel device integration.

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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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Nanosheet Technology for the Computing Era of AI and 5G

At IEDM, the top conference for semiconductor device technology, IBM Research presents the latest progress in nanosheet technology, including new critical features for high performance computing.

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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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