Computer Sciences

Novel deep learning framework for symbolic regression

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 ...

Computer Sciences

How to each AI decision-making skills and common sense: Play games

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 ...

Machine learning & AI

The complexity of artificial intelligence

Artificial Intelligence, or AI, makes us look better in selfies, obediently tells us the weather when we ask Alexa for it, and rolls out self-drive cars. It is the technology that enables machines to learn from experience ...

Computer Sciences

How to train a robot (using AI and supercomputers)

Before he joined the University of Texas at Arlington as an Assistant Professor in the Department of Computer Science and Engineering and founded the Robotic Vision Laboratory there, William Beksi interned at iRobot, the ...

Engineering

Want cheaper nuclear energy? Turn the design process into a game

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 ...

Consumer & Gadgets

Say again? AI provides the latest word in clearer audio

If you've been listening to more podcasts while stuck at home this year, you may have noticed a side effect of the uptick in virtual conversations: a decline in audio quality. Interviews conducted by phone or video chat often ...

Electronics & Semiconductors

Accurate and efficient 3-D motion tracking using deep learning

A new sensing method has made tracking movement easier and more efficient. A research group from Tohoku University has captured dexterous 3-D motion data from a flexible magnetic flux sensor array, using deep learning and ...

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