David has more than 10 years' experience in IT, with experience in computer vision, computer graphics, pattern recognition, and machine learning, working on different projects, and at different ...

They empower organizations to implement machine learning capabilities, whether for general data analysis or tailored applications like accounting ... problems in natural language processing, computer ...

Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

Together, we will identify machine learning applications in finance and discuss both the radical transformation potential and accompanying problems. Controlling machine learning in a finance ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

Exploring supply and processor rail-monitoring solutions that support the entire data center power architecture.

Who: Colin Raffel, 37, associate professor of computer science, University of Toronto, and associate research director at the Vector Institute Known for: Researching how to make machine learning ...

Smaller can now mean smarter in machine learning applications! Businesses can now incorporate multimodal machine learning to analyze diverse data formats like text, images, and video at the same time.