Computer Sciences
Lawrence Livermore National Laboratory (LLNL) computer scientists have developed a new framework and an accompanying visualization tool that leverages deep reinforcement learning for symbolic regression problems, outperforming ...
Mar 19, 2021
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254
Computer Sciences
Humans are highly adaptable creatures. Whether it be learning from past experience or understanding social expectations, we move from one situation to another with ease. For artificial intelligence, adapting to new situations ...
Mar 10, 2021
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90
Security
Attacks on vulnerable computer networks and cyber-infrastructure—often called zero-day attacks—can quickly overwhelm traditional defenses, resulting in billions of dollars of damage and requiring weeks of manual patching ...
Feb 5, 2021
1
228
Computer Sciences
A research group from the Active Intelligent System Laboratory (AISL) at Toyohashi University of Technology (TUT) has proposed a new framework for training mobile robots to quickly navigate while maintaining low collision ...
Jan 19, 2021
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7
Machine learning & AI
The field of artificial intelligence (AI) has created computers that can drive cars, synthesize chemical compounds, fold proteins and detect high-energy particles at a superhuman level.
Jan 13, 2021
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13
Computer Sciences
In recent years, computer scientists have developed artificial intelligence-based techniques that can complete a wide variety of tasks. Some of these techniques are designed to artificially replicate the human senses, particularly ...
Robotics
Multi-domain operations, the Army's future operating concept, requires autonomous agents with learning components to operate alongside the warfighter. New Army research reduces the unpredictability of current training reinforcement ...
Dec 29, 2020
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18
Engineering
Nuclear energy provides more carbon-free electricity in the United States than solar and wind combined, making it a key player in the fight against climate change. But the U.S. nuclear fleet is aging, and operators are under ...
Dec 18, 2020
6
38
Robotics
Over the past decade or so, roboticists and computer scientists have tried to use reinforcement learning (RL) approaches to train robots to efficiently navigate their environment and complete a variety of basic tasks. Building ...
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