Rapid prototyping at DigiKey’s embedded world booth linked XRP robotics, Red Pitaya, STM32N6, UNO Q, Beagle, and Thread demos ...

Researchers from MIT, the University of Michigan, and the University of Peloponnese have unveiled advances that could make sophisticated AI more practical on resource-limited edge devices. MIT’s FTTE ...

Researchers at Empa have developed machine learning algorithms that reduce preliminary testing in laser-based metal additive manufacturing by about two-thirds without compromising quality. Using ...

Myrtle.ai, a recognized leader in accelerating machine learning inference, today announced that a stack featuring its VOLLO® product has recently been audited by STAC®, a leading benchmark authority ...

ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...

FPGAs are finding new applications in the age of artificial intelligence, high-speed wireless communications, medical and life science technology, and in complex chip architectures where they can ...

As businesses begin demand more from their robotic assistants, these systems are getting harder to design. They need the support of Field Programmable Gate Arrays (FPGAs). Autonomous robots have been ...

So, you know how technology just keeps moving forward? Well, Field-Programmable Gate Arrays, or FPGAs, are right in the middle of all that action. These little chips can be changed around even after ...

This repository provides context to the manuscript "FPGA-Enabled Machine Learning Applications in Earth Observation: A Systematic Review" submitted to ACM CSUR and available on arXiv. The data from ...

Forbes contributors publish independent expert analyses and insights. Marco Chiappetta is a technologist who covers semiconductors and AI. AMD is celebrating the 40th anniversary of the Field ...