Editor’s Note: The SCM thesis Reducing Oil Well Downtime with a Machine Learning Recommender System was authored by Jesús Madrid and Andrew Min and supervised by Dr. Cansu Tayaksi ([email protected]).

SAN FRANCISCO--(BUSINESS WIRE)--Rubber Ducky Labs, a company dedicated to making recommender systems easier to build and imbue with human knowledge, today announces $1.5 million seed investment round ...

Although initially confined to the realms of Science Fiction, the concept of intelligent machines with the ability to learn goes back a long time. It’s only necessary to think of the now iconic HAL ...

With a groundbreaking approach that links academic research to industry practice, Wang’s original and innovative contributions have made a major impact. Opinions expressed by Digital Journal ...