Robotics
In recent years, aerial robots have become increasingly popular, with potential applications in a variety of fields. Many of these robots are primarily designed to fly around and collect visual data from their surrounding ...
Machine learning & AI
Since the earliest days of virtual chess and solitaire, video games have been a playing field for developing artificial intelligence (AI). Each victory of machine against human has helped make algorithms smarter and more ...
May 31, 2019
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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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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 ...
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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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 ...
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 ...
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 ...
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 ...
