Computations in Memory: Imec’s Analog Inference Accelerator Brings Extreme Energy Efficiency to Neural Network Acceleration

<p dir="ltr">The internet of things takes center stage in this week's Fish Fry podcast! Peter De Backer (imec) joins me to discuss the challenges of developing neural networks for IoT devices and the details of imec’s Analog Inference Accelerator (AnIA).  Also this week, I take a closer look at how a team of researchers from National University of Singapore (NUS) and Japan's Tohoku University (TU) used spin-torque oscillators to harvest and convert wireless radio frequencies into energy.  </p> <p> </p>