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 ...
The flexibility, agility and ultimate cost of machine learning projects can be significantly impacted by data logistics and dependencies, according to Jim Scott, VP, Enterprise Architecture, at MapR.
Overview: MLOps keeps machine learning models stable, updated, and easy to manage.Python tools make every step of machine learning simpler and more reliable.MLO ...
Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...
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Biological intelligence as the basis for new AI systems
In a new research project led by the Central Institute of Mental Health (CIMH) in Mannheim, scientists are investigating how ...
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.
With machine learning (ML) at the heart of much of modern computing, the interesting question is: How do machines learn? There’s a lot of deep computer science in machine learning, producing models ...
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