Deep learning, which uses multi-layered artificial neural networks, is a form of machine learning that has demonstrated significant advances in many fields, including natural language processing, image/video labeling and ...
Optics & Photonics
May 31, 2018
0
240
Bioinformatics professors Anthony Gitter and Casey Greene set out in summer 2016 to write a paper about biomedical applications for deep learning, a hot new artificial intelligence field striving to mimic the neural networks ...
Computer Sciences
Apr 4, 2018
0
266
Modern films and TV shows are filled with spectacular, computer-generated sequences which are computed by rendering systems that simulate the flow of light in a 3D scene. However, computing many light rays is an immensely ...
Computer Sciences
Jun 30, 2017
0
9
A study undertaken by researchers at the School of Business and Economics at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) has shown that computer programs that algorithms based on artificial intelligence are ...
Computer Sciences
Mar 16, 2017
0
70
NUS mathematicians have developed a new theoretical framework based on dynamical systems to understand when and how a deep neural network can learn arbitrary relationships.
Mathematics
Sep 14, 2022
0
17
Proteins are the molecular machines of all living cells and have been exploited for use in many applications, including therapeutics and industrial catalysts. To overcome the limitations of naturally occurring proteins, protein ...
Biotechnology
Oct 8, 2021
0
176
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
A major challenge in current climate prediction models is how to accurately represent clouds and their atmospheric heating and moistening. This challenge is behind the wide spread in climate prediction. Yet accurate predictions ...
Earth Sciences
Jun 20, 2018
14
283
A UCLA research team has devised a technique that extends the capabilities of fluorescence microscopy, which allows scientists to precisely label parts of living cells and tissue with dyes that glow under special lighting. ...
General Physics
Nov 8, 2019
0
1217
A deep learning-powered computational framework, 'DeepEC,' will allow the high-quality and high-throughput prediction of enzyme commission numbers, which is essential for the accurate understanding of enzyme functions.
Machine learning & AI
Jul 9, 2019
0
0
