Here, we propose an approach for massively parallel gradient calculations of high-degree polynomials, which is conducive to efficient mixed-signal in-memory computing circuit implementations and whose ...

CIM could bring advantages to AI processing by speeding up the multiplication ... power/performance/area (PPA), flexibility, quantization, and memory technology. CIM relies on mixed-signal circuitry – ...

SAN FRANCISCO – Dec. 7, 2022 – A CEA-Leti tutorial presented at IEDM 2022 highlighted promising advantages that resistive random-access memory (RRAM ... has been used to describe mixed-signal and pure ...

Silicon photonics is rewiring the future of data centers. But engineers need more advanced simulation tools to integrate ...

Semtech and Analog Devices show promise in a cautious chip market, fueled by AI, auto tech, and long-cycle industrial demand.

Instead, Xia and his colleagues at UMass Amherst, the University of Southern California, and computing technology maker, TetraMem Inc. have implemented in-memory computing with analog memristor ...

Mixed Signal Devices’ new timing portfolio delivers sub-20 fs jitter, 2-GHz performance, and rugged thermal stability.

At the heart of biological signal processing are two fundamental concepts: event-driven sensing and analog in-memory computing. Resistive memory provides a compact solution to store the ...

"A major issue is traditional computing architecture, which separates processors and memory. The signal conversions involved in moving data between different components slow down computation and ...