Robotics
Researchers at Rutgers University have recently developed a probabilistic approach for building 3-D models of unknown objects while they are being manipulated by a robot. Their approach, outlined in a paper pre-published ...
Computer Sciences
Researchers at UC Berkeley and Ecole des Ponts Paris Tech have recently developed a deep learning approach for discovering recurring visual patterns in art collections. Their paper, pre-published on arXiv, will be presented ...
Machine learning & AI
Researchers at the University of Texas at Arlington have recently explored the use of machine learning for emotion recognition based solely on paralinguistic information. Paralinguistics are aspects of spoken communication ...
Computer Sciences
Researchers at Sapientia University in Romania and Université de Lyon have recently carried out a performance evaluation of unrestricted mouse usage for impostor detection. Their findings, pre-published on arXiv, suggest ...
Computer Sciences
Researchers at Facebook have recently compiled a dataset of 5 million personas and 700 million persona-based dialogues. This database could be used to train end-to-end dialogue systems, resulting in more engaging and rich ...
Computer Sciences
Researchers at Orange Labs and Normandie University have developed a novel deep neural model for audiovisual emotion recognition that performs well with small training sets. Their study, which was pre-published on arXiv, ...
Robotics
Roboticists have been trying to develop robots that can tackle various everyday house chores, such as washing dishes or tidying up, for several years. However, so far none of the robots created has been commercialized adopted ...
Robotics
To safely share spaces with humans, robots should ideally be able to detect their presence and determine where they are located, so that they can avoid accidents and collisions. So far, most robots were trained to localize ...
Robotics
Fast cars. Millions of us love them. The idea transcends national borders, race, religion, politics. We embraced them for more than a century, beginning in the early 1900s with the stately Stutz Bearcat and Mercer Raceabout ...
Computer Sciences
Artificial intelligence systems may be able to complete tasks quickly, but that doesn't mean they always do so fairly. If the datasets used to train machine-learning models contain biased data, it is likely the system could ...
Feb 21, 2022
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