Deep learning has been experiencing a true renaissance especially over the last decade, and it uses multi-layered artificial neural networks for automated analysis of data. Deep learning is one of the most exciting forms ...
General Physics
Oct 16, 2017
0
142
University of Washington researchers are developing the first smartphone app that is capable of objectively detecting concussion and other traumatic brain injuries in the field: on the sidelines of a sports game, on a battlefield ...
Engineering
Sep 6, 2017
0
223
"Deep Learning" computer systems, based on artificial neural networks that mimic the way the brain learns from an accumulation of examples, have become a hot topic in computer science. In addition to enabling technologies ...
Optics & Photonics
Jun 12, 2017
2
1665
Rice University computer scientists have adapted a widely used technique for rapid data lookup to slash the amount of computation—and thus energy and time—required for deep learning, a computationally intense form of ...
Computer Sciences
Jun 1, 2017
1
570
Inspired by how mammals see, a new "memristor" computer circuit prototype at the University of Michigan has the potential to process complex data, such as images and video orders of magnitude, faster and with much less power ...
Nanophysics
May 22, 2017
0
30
In the past 10 years, the best-performing artificial-intelligence systems—such as the speech recognizers on smartphones or Google's latest automatic translator—have resulted from a technique called "deep learning."
Computer Sciences
Apr 17, 2017
0
1871
University of Leicester researchers have developed a new approach for analysing toxic chemicals in complex samples that mimics the way mammals smell and taste.
Analytical Chemistry
Oct 10, 2016
0
15
If you think you have a knack for interior design, or just want to spruce up your own home, new technology developed by Cornell researchers may help you choose furnishings the way professionals do. And professionals may find ...
Computer Sciences
Aug 23, 2016
0
219
Scientists at the California NanoSystems Institute at UCLA have developed a new technique for identifying cancer cells in blood samples faster and more accurately than the current standard methods.
Analytical Chemistry
Apr 14, 2016
0
18
What if computers could recognize objects as well as the human brain could? Electrical engineers at the University of California, San Diego have taken an important step toward that goal by developing a pedestrian detection ...
Computer Sciences
Feb 8, 2016
0
967
