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…
There are over 30 million people in America who have diabetes, and people with diabetes need to remain vigilant about…
Machine learning (ML) has improved business across industries in recent years—from the recommendation system on your Prime Video account, to…
This post is a joint collaboration with Andries Engelbrecht and James Sun of Snowflake, Inc. The cloud computing revolution has…