Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Neurophos is developing a massive optical systolic array clocked at 56GHz good for 470 petaFLOPS of FP4 compute As Moore's ...

A new publication from Opto-Electronic Technology; DOI 10.29026/oet.2025.250011 , discusses integrated photonic synapses, neurons, memristors, and ...

Engineers at MIT have turned one of computing’s biggest headaches, waste heat, into the main act. By sculpting “dust-sized” silicon structures that steer heat as precisely as electrical current, they ...

A new publication from Opto-Electronic Technology; DOI   10.29026/oet.2025.250011, discusses integrated photonic synapses, neurons, memristors, and neural networks for photonic neuromorphic computing.

This project simulates the systolic array architecture used in Google's TPU (Tensor Processing Unit). It includes: The staggered injection creates a diagonal wavefront of computation: Cycle 0: A ...

Abstract: Energy efficiency is a persistent issue in FPGA-based matrix processing, especially as embedded systems face increased computing needs. To get around this, we propose a MAC unit design that ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

Abstract: Objective: Accurate visualization of interventional devices, such as medical needles, in relation to the procedural target is critical for the safe and effective guidance of interventional ...