eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Artificial intelligence (AI) models are computer programs ...

ML is a subset of artificial intelligence (AI) that allows computers to learn without being explicitly programmed. In simple terms, machine learning (ML) is a subset of artificial intelligence (AI) ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

Poster session location: Lawson Commons. Join us for a two-day workshop exploring the latest developments in scientific machine learning, where theory, algorithms, and real-world applications converge ...

For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater ...

Efficient Learning Algorithms for the Best Capped Base-Stock Policy in Lost Sales Inventory Systems Periodic review, lost sales inventory systems with lead times are notoriously challenging to ...

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...