High-throughput computer model predicts diffusion data for the transport of light elements within solids
The diffusion of light elements into metals has been efficiently modeled by A*STAR researchers using a machine learning approach.
The diffusion of light elements into metals has been efficiently modeled by A*STAR researchers using a machine learning approach.
Materials Science
Sep 12, 2018
0
6
Machine learning, a form of artificial intelligence, enjoys unprecedented success in commercial applications. However, the use of machine learning in high performance computing for science has been limited. Why? Advanced ...
Computer Sciences
Aug 14, 2018
0
57
Science has always relied on a combination of approaches to derive an answer or develop a theory. The seeds for Darwin's theory of natural selection grew under a Herculean aggregation of observation, data, and experiment. ...
Computer Sciences
Aug 2, 2018
0
6
Recent advances in deep learning and exponential growth in the use of machine learning across application domains have made AI acceleration critically important. IBM Research has been building a pipeline of AI hardware accelerators ...
Computer Sciences
Jun 29, 2018
0
8
Using novel machine learning techniques, a research team from the Department of Energy's Oak Ridge National Laboratory is teaching electronic devices how to speak for themselves.
Engineering
Apr 24, 2018
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13
Thousands of animals including elephants, tigers, rhinos, and gorillas are poached each year. Researchers at the USC Center for Artificial Intelligence in Society have long been applying AI to protect wildlife. Initially, ...
Ecology
Feb 9, 2018
0
19
A team of researchers from the Department of Energy's Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training ...
Computer Sciences
Jan 10, 2018
0
29
AI workloads are different from the calculations most of our current computers are built to perform. AI implies prediction, inference, intuition. But the most creative machine learning algorithms are hamstrung by machines ...
Hardware
Dec 7, 2017
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24
Language acquisition in young children is apparently connected with their ability to detect patterns. In their learning process, they search for patterns in the data set that help them identify and optimize grammar structures ...
Quantum Physics
Sep 14, 2017
0
470
RoboTutor, educational technology developed at Carnegie Mellon University that teaches children basic math and reading skills, has been named a semifinalist in the $15 million Global Learning XPRIZE competition.
Robotics
Jun 21, 2017
0
9