Consumer & Gadgets
AI researchers at Google's DeepMind, working with colleagues at the University of British Columbia, have announced the development of Genie, an AI-backed application capable of turning a single image into a playable 2D virtual ...
Energy & Green Tech
Making the countless numbers of N95 masks that have protected millions of Americans from COVID requires a process that not only demands attention to detail but also requires lots of energy. Many of the materials in these ...
Nov 1, 2022
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53
Engineering
One natural disaster can knock out electric service to millions. A new study suggests that back-to-back disasters could cause catastrophic damage, but the research also identifies new ways to monitor and maintain power grids.
Oct 21, 2022
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17
Robotics
Robots are already adept at certain things, such as lifting objects that are too heavy or cumbersome for people to manage. Another application they're well suited for is the precision assembly of items like watches that have ...
Apr 5, 2022
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108
Computer Sciences
Autonomous functions for robots, such as spontaneity, are highly sought after. Many control mechanisms for autonomous robots are inspired by the functions of animals, including humans. Roboticists often design robot behaviors ...
Nov 11, 2020
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74
Computer Sciences
Not convinced yet that keeping your distance and wearing a mask is worth the trouble? Perhaps scientific evidence to the contrary will help.
May 14, 2020
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6
Energy & Green Tech
Offshore wind power generation has become an increasingly promising source of renewable energy. Much about the aerodynamic effects of larger wind farms, however, remains poorly understood. New work in this week's Journal ...
Dec 12, 2019
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654
Computer Sciences
Optical illusions, images that deceive the human eye, are a fascinating research topic, as studying them can provide valuable insight into human cognition and perception. Researchers at Flinders University, in Australia, ...
Computer Sciences
Brian Mitchell and Linda Petzold, two researchers at the University of California, have recently applied model-free deep reinforcement learning to models of neural dynamics, achieving very promising results.
