Robotics
Research focusing on swarm robotics typically uses theoretical approaches to describe robotic systems in an abstract way. A theoretical model that is often used in robotics studies is OBLOT, an approach that represents robots ...
Machine learning & AI
Ever since artificial intelligence (AI) made the transition from theory to reality, research and development centers across the world have been rushing to come up with the next big AI breakthrough.
Mar 18, 2021
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Software
The Internet of Things (IoT) has ushered in a new era, with everyday items evolving into what we now refer to as cyber-physical systems. These systems are physical mechanisms controlled or monitored by computer algorithms ...
Dec 10, 2020
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Computer Sciences
Engineers at CSEM have developed a new machine-learning method that paves the way for artificial intelligence to be used in applications that until now have been deemed too sensitive. The method, which has been tested by ...
Sep 22, 2020
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Energy & Green Tech
A team led by the Department of Energy's Oak Ridge National Laboratory developed a novel, integrated approach to track energy-transporting ions within an ultra-thin material, which could unlock its energy storage potential ...
Aug 25, 2020
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Engineering
In recent years, research teams worldwide have been trying to apply origami-folding strategies to mechanical structures, as this could allow them to change their shape both rapidly and efficiently. A key advantage of origami, ...
Computer Sciences
Learning how people interact with artificial intelligence-enabled machines—and using that knowledge to improve people's trust in AI—may help us live in harmony with the ever-increasing number of robots, chatbots and other ...
Mar 31, 2020
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Energy & Green Tech
Scientist Heinz Frei has spent decades working toward building an artificial version of one of nature's most elegant and effective machines: the leaf.
Mar 19, 2020
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Machine learning & AI
Scientists from Salk Institute (U.S.), Skoltech (Russia), and the Riken Center for Brain Science (Japan) investigated a theoretical model of how populations of neurons in the visual cortex of the brain may recognize and process ...
Mar 2, 2020
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Machine learning & AI
Olli-Pekka Koistinen, doctoral candidate at Aalto University, developed machine-learning algorithms based on Gaussian process regression to enhance searches of minimum energy paths and saddle points, and tested how well the ...
Jan 8, 2020
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