To use all functions of this page, please activate cookies in your browser.
With an accout for my.chemeurope.com you can always see everything at a glance – and you can configure your own website and individual newsletter.
- My watch list
- My saved searches
- My saved topics
- My newsletter
22 Current news about the topic machine-learningrss
|You can refine your search further. Select from the filter options on the left to narrow down your results.|
Over the last few decades, machine learning has revolutionized many sectors of society, with machines learning to drive cars, identify tumors and play chess - often surpassing their human counterparts. Now, a team of scientists based at the Okinawa Institute of Science and Technology Graduate ...
New method expands knowledge of carbon-based materials
Sensors manufactured with carbon-based materials can provide uniquely accurate and real-time information on hereditary diseases or the concentrations of drugs in the body. In addition to medicine, carbonaceous materials are used in batteries, solar cells and water purification. Other elements, ...
Environmentally benign methods for the industrial production of chemicals are urgently needed. LMU researchers recently described such a procedure for the synthesis of formaldehyde, and have now improved it with the aid of machine learning. Formaldehyde is one of the most important feedstocks ...
The processes underlying artificial intelligence today are in fact stupid. Researchers from Bochum are attempting to make them smarter. Radical change, revolution, megatrend, maybe even a risk: artificial intelligence has penetrated all industrial segments and keeps the media busy. Researchers at ...
Self-driving cars, the automatic detection of cancer cells, online translation: deep learning makes it all possible. The ETH spin-off Mirage Technologies has developed a deep learning platform that aims to help start-ups and companies more quickly develop and optimise their products. The name has ...
Bringing academia and business together to solve global challenges
A formal partnership has been agreed between the University of Bristol and analytical instrumentation provider Malvern Panalytical. The Memorandum of Understanding formalizes the organizations’ relationship and focuses on mutual areas of interest and collaboration, including data analytics, ...
Scientists use deep neural networks to achieve simulations on long time scales
The prediction of molecular reactions triggered by light is to date extremely time-consuming and therefore costly. A team led by Philipp Marquetand from the Faculty of Chemistry at the University of Vienna has now presented a method using artificial neural networks that drastically accelerates ...
NSF puts VCU and partners on fast track to build open network
D. Tyler McQuade, Ph.D., a professor in the Virginia Commonwealth University College of Engineering, is principal investigator of a multi-university project seeking to use artificial intelligence to help scientists come up with the perfect molecule for everything from a better shampoo to coatings ...
Scientists predict new forms of superhard carbon
Superhard materials can slice, drill and polish other objects. They also hold potential for creating scratch-resistant coatings that could help keep expensive equipment safe from damage. Now, science is opening the door to the development of new materials with these seductive ...
University of Cambridge researchers have shown that an algorithm can predict the outcomes of complex chemical reactions with over 90% accuracy, outperforming trained chemists. The algorithm also shows chemists how to make target compounds, providing the chemical 'map' to the desired ...