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Relying on an analog circuit, a new AI chip from imec and GlobalFoundries can perform in-memory computations with an energy efficiency 10 to 100 times greater than those that use a traditional digital accelerator. The chip, called AnIA (for “Analog Inference Accelerator”) is optimized to perform deep neural network calculations on in-memory computing hardware in the analog domain.
Developers built the AnIA on GlobalFoundries’ 22FDX semiconductor platform, which features high-level energy efficiency. Characterization tests demonstrated power efficiency reached 2900 tera operations per second per watt (TOPS/W). The degree of efficiency is such that pattern recognition in tiny sensors and low power edge devices, those…READ MORE