A new technique enables on-device training of machine-learning models on edge devices like microcontrollers, which have very limited memory. This…
A new system of algorithms enables four-legged robots to walk and run on challenging terrain while avoiding both static and…
Microcontrollers, miniature computers that can run simple commands, are the basis for billions of connected devices, from internet-of-things (IoT) devices…
A team led by the University of California San Diego has developed a new system of algorithms that enables four-legged…
A central issue in machine learning is how to train models on sensitive user data. Industry has widely adopted a…
Cross-device federated learning is an emerging machine learning (ML) paradigm where a large population of devices collectively train an ML…
Online commercial app marketplaces serve millions of apps to billions of users in an efficient manner. Bandit optimization algorithms are…
A functional data ecosystem must incorporate notions of Ontology in order to be scalable and sustainable.Editor’s note: This is the…
This series tackles the rarely simple and often messy solicitation process. We explore how organizations can better evaluate digital transformation…