New Dataset for AI-Enabled Sign Language Translation
The dataset will allow more automatic sign language understanding and translation. These technologies could be applied to applications such as virtual …
Topic: Deep Learning
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.
Improving Artificial Intelligence Common Sense Testing
Common sense could bring AI and human learning and processing closer together resulting in a better understanding of computers and their ability to move …
Big Data Complexity Reduced with New Neural Net Algorithm
Researchers have developed a rigorous neural net algorithm designed to extract essential features of big data sets in one
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.
Traffic Signal Flow Control Gets Smart
An experimental traffic signal controller system uses self-learning algorithms and can adjust traffic flows based on changing conditions.
Woven City: A Living Tech Lab to Guide the City of Tomorrow
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 Supercharges Hawk Supercomputer for AI Work
NVIDIA GPUs will help the Hawk supercomputing system support even larger scale deep learning projects that make use of
IBM Takes AI Chip Research to Next Level
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 …
Jetson Nano 2GB Among Big Announcements at NVIDIA’s Virtual Conference
New NVIDIA offerings align with its commitment to creating an AI-driven world for all companies, enterprises, developers, and
United Imaging and MGH Announces Cutting Edge Collaboration in Medical AI
The joint work will develop artificial intelligence (AI) models to drive diagnosis and help to quantify diagnosis on a case-by-case basis.