Computer Sciences
Deep learning algorithms have proved to be promising tools to tackle a variety of real-world problems, especially those that require the analysis of vast amounts of data. In contrast with other computational techniques, in ...
Dec 07, 2020 feature
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225
Energy & Green Tech
The batteries used to power electric vehicles have several key characterizing parameters, including voltage, temperature, and state of change (SOC). As battery faults are associated with abnormal fluctuations in these parameters, ...
Aug 26, 2019 feature
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77
Robotics
Researchers at the Okinawa Institute of Science and Technology have recently proposed a neurorobotics approach that could aid the development of robots with advanced communication capabilities. Their approach, presented in ...
Apr 18, 2019 feature
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360
Automotive
Researchers at the University of California (UC), Berkeley, have recently developed a generative model that can predict the sequential motions of pairs of interacting agents, including self-driving vehicles as well as vehicles ...
Apr 03, 2019 feature
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102
Machine learning & AI
A team of researchers at Queen's University, in Canada, have recently proposed a new method to downsize random recurrent neural networks (rRNN), a class of artificial neural networks that is often used to make predictions ...
Jul 17, 2019 feature
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244
Robotics
University of California, Berkeley, researchers have developed a robotic learning technology that enables robots to imagine the future of their actions so they can figure out how to manipulate objects they have never encountered ...
Dec 04, 2017
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385
Computer Sciences
Attempts to fix clinical prediction algorithms to make them fair also make them less accurate.
Nov 06, 2020
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51
Computer Sciences
Over time, prediction algorithms become specialized for an increasingly narrow slice of the population, and the average quality of their predictions declines.
Nov 02, 2020
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36
Machine learning & AI
Machine learning is a computational tool used by many biologists to analyze huge amounts of data, helping them to identify potential new drugs. MIT researchers have now incorporated a new feature into these types of machine-learning ...
Oct 15, 2020
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76
Computer Sciences
New research at the University of Michigan can train neural network models to identify a person's position in videos where only a portion of their body is visible in the shot. This breakthrough opens up a huge library of ...
Sep 14, 2020
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