Forbes

Are Embedded And Federated Machine Learning The Future Of The AI Industry?

Somdip is the Chief Scientist of Nosh Technologies, an MIT Innovator Under 35 and a Professor of Practice (AI/ML) at the Woxsen University. As a leader in the artificial intelligence (AI) domain and a ...
EDN

4 Benefits of Machine Learning in Embedded Systems

Many people have begun experimenting with using machine learning in embedded systems as the two technologies have become more prominent in today’s society. That approach allows for overcoming many of ...
Military

Wanted: small lightweight artificial intelligence (AI) and machine learning ability for embedded computing

ROME, N.Y. – U.S. Air Force computer researchers are asking for industry's help in developing artificial intelligence (AI) and machine learning in embedded computing, computing at the edge, ...
BIOENGINEER

Machine learning moves to the heart of 6G networks in new systematic review

A PRISMA-based systematic review of 81 studies proposes a unified architecture for AI-native 6G communication systems.
BIOENGINEER

Machine learning spots RISC-V hardware attacks from processor performance counters

Researchers built the first public RISC-V dataset combining hardware performance counters with instruction traces and showed ...
Electronic Design

Creating Embedded Solutions Using Machine-Learning Models

This video is part of our electronica 2022 coverage. In this motor-control demonstration, a Renesas engineer explains how machine learning can help the system detect unbalanced load conditions.
Electronic Design

Creating a Smarter World with Embedded AI

Embedded-systems designers are on a mission to squeeze powerful AI algorithms into resource-constrained gadgets, relying on cutting-edge custom hardware accelerators and high-level synthesis to push ...
Military

Air Force approaches industry for artificial intelligence (AI) and machine learning for C4ISR applications

ROME, N.Y. – U.S. Air Force computer scientists are reaching out to industry for help in developing advanced technologies that involve disciplines such as nano-computing, neuromorphic computing, ...
Semiconductor Engineering

Ultimate Guide To Machine Learning For Embedded Systems

Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict ...
Pulse 2.0

SiMa.ai: Embedded Edge Machine Learning System-On-Chip Company Raises $70 Million

SiMa.ai (see Pulse 2.0 profile here), the software-centric and embedded edge machine learning system-on-chip company, announced it raised an additional $70 million of funding led by Maverick Capital, ...
AZOM

Embedded Vision vs. Machine Vision

Machine vision and embedded vision systems both fulfill important roles in industry, especially in process control and automation. The difference between the two lies primarily in image processing ...