By Paige Roberts The adoption of machine learning based artificial intelligence (AI) in businesses is ramping up quickly. But building AI is not easy. Machine learning (ML) models have to be trained and when their […]
Picture two teams squaring off on a football field. The players can cooperate to achieve an objective, and compete against other players with conflicting interests. That’s how the game works. Creating artificial intelligence agents that […]
At a recent technology conference in Austin, we stopped in to listen to Clena Abuan, a Senior Technology Associate within BP’s Digital Innovation Organization (DIO). The DIO focuses on identifying emerging digital technology and understanding […]
By Jared Sagoff Aspiring bakers are frequently called upon to adapt award-winning recipes based on differing kitchen setups. Someone might use an eggbeater instead of a stand mixer to make prize-winning chocolate chip cookies, for […]
(Editor’s Note: The following is an excerpt from a talk William Hurley – AKA Whurley – gave at a technology conference in Austin in early November. Whurley, who is author of Quantum Computing for Dummies […]
Scientists are pioneering approaches in machine learning to design and train computer software programs that guide the development of new manufacturing processes. Despite today’s remarkable technological advances, the ways we work with the metals that […]
By Srini Pagidyala In the last couple of years, the pandemic has transformed every aspect of several industries, changing how people live, shop, communicate, etc., while accelerating digital transformation. There is a new demand for […]
By Michael Jarus—Chief Architect, Intradiem Is there a term that generates more buzz in tech circles today than ‘AI’? Valued at $60 billion in 2020, the artificial intelligence (AI) market is expected to grow to […]
By Adam Zewe Training a machine-learning model to effectively perform a task, such as image classification, involves showing the model thousands, millions, or even billions of example images. Gathering such enormous datasets can be especially […]
Machine learning happens a lot like erosion. Data is hurled at a mathematical model like grains of sand skittering across a rocky landscape. Some of those grains simply sail along with little or no impact. […]