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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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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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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 Scientists Demonstrate Mixed-Precision In-Memory Computing for the First Time; Hybrid Design for AI Hardware

Today, we are entering the era of cognitive computing, which holds great promise in deriving intelligence and knowledge from huge volumes of data. One of the biggest challenges in using these huge volumes of data is the fundamental design of today’s computers, which are based on the von Neumann architecture, requiring data to be shuttled […]

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