Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...
Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...
IBM has just made available to developers an experimental version of Project Intu, a system agnostic platform that allows for the integration of Watson capabilities into various end-user form factors.
Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...
Why it matters: Google is designing an operating system for embedded applications that runs machine learning algorithms. KataOS' main targets are security and privacy protection, working with open ...
Irina Raicu is the director of the Internet Ethics program at the Markkula Center for Applied Ethics at Santa Clara University. Views are her own. In his hands-on, skill-building course, professor Das ...
Automating business processes and decisions is key to operational efficiency today. And that is driving the increased use of artificial intelligence and machine learning technology to enable that ...
Microsoft this past spring announced Project Oxford, a set of SDKs and APIs that allow developers to build “intelligent” applications without having to learn machine learning. Using Oxford’s face, ...
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