Stefano Ambrogio

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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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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The Future of AI Needs Better Compute: Hardware Accelerators Based on Analog Memory Devices

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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