news.ucsb.edu

Proving the value of an old algorithm in training deep-learning models for AI

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...
eWeek

Machine Learning Guide: A Beginner’s Path to Mastery

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Machine learning (ML) uses advanced mathematical models ...
Microsoft

From beekeepers to ocean mappers, Lobe aims to make it easy for anyone to train machine learning models

Sean Cusack has been a backyard beekeeper for 10 years and a tinkerer for longer. That’s how he and an entomologist friend got talking about building an early warning system to alert hive owners to ...
Forbes

IBM Federated Learning Research - Extracting Machine Learning Models From Multiple Data Pools

As machine learning becomes more pervasive in the data center and the cloud there will be a need to share and aggregate information and knowledge but without exposing or moving the underlying data.