Biological systems have fascinated computer scientists for decades with their remarkable ability to process complex information, adapt, learn, and...
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A team of AI researchers and computer scientists at the University of Alberta has found that current artificial networks used with deep-learning systems lose their ability to learn during extended training on new data. In their study, reported in the journal Nature, the group found a way to overcome these problems with plasticity in both supervised and reinforcement learning AI systems, allowing them to continue to learn.
Biological systems have fascinated computer scientists for decades with their remarkable ability to process complex information, adapt, learn, and...
A new study has found that intelligence, in the form of general cognitive abilities such as perception, thinking and remembering, is more important...
A new study has found that intelligence, in the form of general cognitive abilities such as perception, thinking and remembering, is more important...
Fruit flies walking on miniature treadmills are helping scientists learn how the nervous system enables animals to move in an unpredictable and...
Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research I have used...
Researchers from LMU, the ORIGINS Excellence Cluster, the Max Planck Institute for Extraterrestrial Physics (MPE), and the ORIGINS Data Science Lab...
Scientists at the University of Toronto are using advanced computer technology to speed up discoveries in sustainable energy. Working with the...
A Changing Landscape The emergence of mobile technology, social media, and high-speed internet has democratized live reporting, allowing...
Researchers from the University of Cincinnati College of Medicine and Cincinnati Children's Hospital have found a new method to increase both speed...
As a fundamental technology of artificial intelligence, existing machine learning (ML) methods often rely on extensive human intervention and manually...