The Cornell Daily Sun

Cornell Researchers Train Physical Systems, Revolutionize Machine Learning

A Cornell research group led by Prof. Peter McMahon, applied and engineering physics,has successfully trained various physical systems to perform machine learning computations in the same way as a ...
How-To Geek on MSN

I thought you needed advanced math to build machine learning models, but I was wrong

Machine learning sounds math-heavy, but modern tools make it far more accessible. Here’s how I built models without deep math ...
HealthTech Magazine

Federated Machine Learning Gives Healthcare Organizations a Competitive AI Advantage

By bringing the training of ML models to users, health systems can advance their AI ambitions while maintaining data security ...
Business Wire

Edge Impulse Integrates Microchip’s SAMA7G54 Microprocessor Into Its Platform to Easily Train Machine Learning Models

SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, the leading platform for building, deploying, and scaling edge machine learning models, today announces Microchip Technology’s SAMA7G54 microprocessor ...
AOL

Synthetic data to train machine learning models may be key in building stakeholder trust in AI

Companies can’t avoid working with data, but management of that data can pose serious challenges. Customer and other personal data keep escaping, courtesy of breaches that surged 78% last year in the ...