Robotics
Computer scientists at The University of Texas at Austin have taught an artificial intelligence agent how to do something that usually only humans can do—take a few quick glimpses around and infer its whole environment, ...
May 15, 2019
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217
Computer Sciences
Researchers have developed a new framework for deep neural networks that allows artificial intelligence (AI) systems to better learn new tasks while "forgetting" less of what it has learned regarding previous tasks. The researchers ...
May 15, 2019
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119
Machine Learning & AI
Stay tuned for the upcoming Animal-AI Olympics, brought to you by researchers at the Leverhulme Centre for the Future of Intelligence in Cambridge, UK, and GoodAI, a Prague-based research institute.
Apr 03, 2019 weblog
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46
Computer Sciences
A team of researchers at the University of California Los Angeles (UCLA), under the supervision of Prof. Song-Chun Zhu, has developed an interactive 3-D virtual environment for training and evaluating AI systems. Their platform, ...
Mar 27, 2019 feature
1
93
Computer Sciences
A key limitation of existing artificial intelligence (AI) systems is that they are unable to tackle tasks for which they have not been trained. In fact, even when they are retrained, the majority these systems are prone to ...
Mar 12, 2019 feature
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206
Computer Sciences
Researchers at Clova AI Research, NAVER and LINE, have recently proposed a new framework called AQM+ that allows dialog systems to generate context-relevant questions and answers. Their model, outlined in a paper pre-published ...
Mar 08, 2019 feature
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148
Robotics
A novel system developed at MIT uses RFID tags to help robots home in on moving objects with unprecedented speed and accuracy. The system could enable greater collaboration and precision by robots working on packaging and ...
Feb 19, 2019
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24
Robotics
It took just over 10 years, but real science has finally caught up to the science fiction of Iron Man's transforming exoskeleton suit.
Feb 13, 2019
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1928
Robotics
Researchers at the University of Utah have recently developed a probabilistic grasp planner that can explicitly model grasp types to plan high-quality precision and power grasps in real time. Their supervised learning approach, ...
Jan 28, 2019 feature
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90
Computer Sciences
Researchers from the Embedded Systems and Robotics group at TCS Research & Innovation have recently developed a two-view depth network to infer depth and ego-motion from consecutive monocular sequences. Their approach, presented ...
Jan 17, 2019 feature
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169
Computer Sciences
Organizations looking to benefit from the artificial intelligence (AI) revolution should be cautious about putting all their eggs in one basket, a study from the University of Waterloo has found.
Jan 17, 2019
2
47
Computer Sciences
Researchers at the University of Wisconsin-Madison and Amherst College have recently introduced a new form of steganography in the domain of machine learning called "training set camouflage." Their framework, outlined in ...
Jan 04, 2019 feature
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161
Computer Sciences
Researchers at the Australian National University (ANU) have recently carried out a study exploring extractive summarization in comparative settings. The term 'extractive summarization' defines the task of selecting a few ...
Dec 17, 2018 feature
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35
Robotics
Imitation learning is a branch of machine learning that trains machines to mimic human behavior while completing particular tasks. These techniques show great promise in the field of robotics, as they tackle some of the shortcomings ...
Nov 21, 2018 feature
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68
Robotics
Researchers at MIT's Computer Science and Artificial Intelligence Laboratory have recently developed a chance-constrained motion planning system that can be applied to high degree-of-freedom (DOF) robots under motion uncertainty ...
Nov 20, 2018 feature
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