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Children's visual experience may hold key to better computer vision training

A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to new research from an interdisciplinary team at Penn State. ....

James Wang , Data Sciences At Penn , Institute For Computational , Us National Science Foundation , Penn State Department Of Psychology , Department Of Computer Science , Penn State , Computer Science , Science Foundation , Data Sciences ,

Using gravitational waves to observe thermal effects in binary neutron star mergers

Using gravitational waves to observe thermal effects in binary neutron star mergers
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Institute For Computational , Pennsylvania State University , National Energy Research Scientific Computing Center , Pittsburgh Supercomputing Center , Jacob Fields , Pennsylvania State , Astrophysical Journal Letters , Data Science , Thermal Effects , Binary Neutron Star Mergers , Astrophysical Journal ,