Perceptive AI Helps Curb Traffic Accidents
Researchers are exploring how perceptive AI might be used to evaluate traffic pattern scenarios and make city driving safer.
Deep Learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled.
Researchers are exploring how perceptive AI might be used to evaluate traffic pattern scenarios and make city driving safer.
An experimental traffic signal controller system uses self-learning algorithms and can adjust traffic flows based on changing conditions.
The Woven City can be more than a crucible for change. It can lead to the creation of smart and flexible cities that that can be modified when
NVIDIA GPUs will help the Hawk supercomputing system support even larger scale deep learning projects that make use of
IBM is developing a processor to improve system efficiency by combining compute and memory in a single device overcoming what is known as the Von Neumann …
New NVIDIA offerings align with its commitment to creating an AI-driven world for all companies, enterprises, developers, and
The joint work will develop artificial intelligence (AI) models to drive diagnosis and help to quantify diagnosis on a case-by-case basis.
The framework, called Nobrainer, can critique its own analysis and tell scientists when it is likely to be
In the news this week: AI for high-dimensional data, AI-based health screening solutions to help businesses get back to work, and more.
Besides time and cost savings, surrogate models could lead to new scientific discoveries, owing to their ability to handle large volumes of high-dimensional …