Earlier this spring, AMD, Broadcom, Meta Platforms, Microsoft, Nvidia, and OpenAI formed the Optical Compute Interconnect ...

This document has been published in the Federal Register. Use the PDF linked in the document sidebar for the official electronic format.

Abstract: This paper addresses the constrained multi-objective optimization problem of sparse conformal arrays designing. The objective of array synthesis is to find an optimal element arrangement on ...

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.

From zero to production in 6–9 months. What to learn, what to skip, and why most tutorials fail. I’m going to be honest with you. Most AI agent tutorials are garbage. They show you how to copy-paste ...

Abstract: The main purpose of this paper is to review the framework behind direct digital synthesizer phase-locked loops (DDS-PLLs), as well as to provide a set of novel techniques that can be used ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Cyclops is a parallel (distributed-memory) numerical library for multidimensional arrays (tensors) in C++ and Python. Quick documentation links: C++ and Python. Broadly, Cyclops provides tensor ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Implementations of matrix multiplication via diffusion and reactions, thus eliminating ...

The C++ interface provides low level access to the native components of Kompute, enabling for advanced optimizations as well as extension of components. The Python package provides a high level ...