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13 articles

Deep learning may help predict when people need rides

2018-03-04 phys.org 304 DeepLearning machinelearning

Computers may better predict taxi and ride sharing service demand, paving the way toward smarter, safer and more sustainable cities, according to an international team of researchers.
Deep learning extends imaging depth and speeds up hologram reconstruction

2018-05-31 phys.org 239 DeepLearning

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 ...
Deep learning enables real-time imaging around corners

2020-01-16 phys.org 148 DeepLearning selfdrivingcars

Researchers have harnessed the power of a type of artificial intelligence known as deep learning to create a new laser-based system that can image around corners in real time. With further development, the system might let ...
Deep-CEE: The AI deep learning tool helping astronomers explore deep space

2019-07-03 phys.org 80 Deeplearning Datascience

Galaxy clusters are some of the most massive structures in the cosmos, but despite being millions of lightyears across, they can still be hard to spot. Researchers at Lancaster University have turned to artificial intelligence ...
Deep learning will help future Mars rovers go farther, faster, and do more science

2020-08-19 phys.org 60 DeepLearning

NASA's Mars rovers have been one of the great scientific and space successes of the past two decades.
Team uses deep learning to monitor the sun's ultraviolet emission

2019-10-03 phys.org 56 MachineLearning DeepLearning Datascience

A NASA Frontier Development Lab (FDL) team has shown that by using deep learning, it is possible to virtually monitor the Sun's extreme ultraviolet (EUV) irradiance, which is a key driver of space weather. The Sun is vital ...
Deep learning: A superhuman way to look at cells

2018-04-12 phys.org 43 Deeplearning

It's harder than you might think to look at a microscope image of an untreated cell and identify its features. To make cell characteristics visible to the human eye, scientists normally have to use chemicals that can kill ...
AI learns to model our Universe

2019-08-28 phys.org 39 MachineLearning deeplearning

Researchers have successfully created a model of the Universe using artificial intelligence, reports a new study.
Deep learning transforms smartphone microscopes into laboratory-grade devices

2018-04-11 phys.org 38 Deeplearning

Researchers at the UCLA Samueli School of Engineering have demonstrated that deep learning, a powerful form of artificial intelligence, can discern and enhance microscopic details in photos taken by smartphones. The technique ...
Artificial intelligence solves Schrödinger's equation

2020-12-21 phys.org 31 ArtificialIntelligence Deeplearning MachineLearning

A team of scientists at Freie Universität Berlin has developed an artificial intelligence (AI) method for calculating the ground state of the Schrödinger equation in quantum chemistry. The goal of quantum chemistry is to predict chemical and physical properties of molecules based solely on the arrangement of their atoms in space, avoiding the need for resource-intensive and time-consuming laboratory experiments. In principle, this can be achieved by solving the Schrödinger equation, but in pr[...]
Deep learning stretches up to scientific supercomputers

2018-08-14 phys.org 24 Deeplearning

Machine learning, a form of artificial intelligence, enjoys unprecedented success in commercial applications. However, the use of machine learning in high performance computing for science has been limited. Why? Advanced ...
Conservation biologists find new applications for AI tools

2019-07-31 phys.org 22 MachineLearning DeepLearning

Automated cameras and other sensors deployed in the wild are transforming the way biologists monitor natural ecosystems and animal populations. These technologies can collect huge amounts of data, however, and conservation ...
Scholarly snowball: Deep learning paper generates big online collaboration

2018-04-04 phys.org 18 Deeplearning

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 ...