Once the three-billion-letter-long human genome was sequenced, we rushed into a new "omics" era of biological research. Scientists are now racing to sequence the genomes (all the genes) or proteomes (all the proteins) of ...
Computer Sciences
Dec 17, 2015
0
17
Humans learn to very quickly identify complex objects and variations of them. We generally recognize an "A" no matter what the font, texture or background, for example, or the face of a coworker even if she puts on a hat ...
Computer Sciences
Dec 15, 2015
0
613
High-tech automation is eliminating jobs like Pac-Man gobbling yellow dots. According to a 2013 study by the Oxford Martin School, 47 percent of U.S. jobs are susceptible to takeover by machines in the coming decades. Whether ...
Computer Sciences
Dec 8, 2015
0
20
MIT researchers have designed a computer system that learns how to play a text-based computer game with no prior assumptions about how language works. Although the system can't complete the game as a whole, its ability to ...
Computer Sciences
Sep 24, 2015
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96
A new tool called DeepBind uses deep learning to analyze how proteins bind to DNA and RNA, allowing it to detect mutations that could disrupt cellular processes and cause disease.
Biotechnology
Jul 27, 2015
0
198
Object recognition—determining what objects are where in a digital image—is a central research topic in computer vision.
Computer Sciences
May 8, 2015
0
66
Computers are learning to recognize objects with near-human ability. But Cornell researchers have found that computers, like humans, can be fooled by optical illusions, which raises security concerns and opens new avenues ...
Computer Sciences
Mar 23, 2015
0
74
Through a computational algorithm, a team of researchers from the University of Guadalajara (UDG) in Mexico, developed a neural network that allows a small robot to detect different patterns, such as images, fingerprints, ...
Robotics
Oct 21, 2014
0
0
"Seeking educational curriculum researchers. Humans need not apply."
Social Sciences
Sep 18, 2014
0
0
(Phys.org) —A team of researchers at the University of California has developed a model that might lead to a better way to control natural cascading events such as landslides, earthquakes, or even neural networks. In their ...
