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Source – https://insidehpc.com/ Some of the most well-known examples of the use of machine learning technics in science applications are the detection and classification of gravitational-waves signals from LIGO and Virgo in astrophysics [1], the recent DeepMind Alpha-Fold2 capabilities outperforming classical methods in protein folding [2] or the winning team of the Gordon Bell 2020 Read More
Source: analyticsinsight.net Over the last few years, deep learning has seen a huge uptake in popularity in businesses and scientific applications as well. It is defined as a subset of artificial intelligence that leverages computer algorithms to generate autonomous learning from data and information. Deep learning is prevalent across many scientific disciplines, from high-energy particle Read More
Source: deccanchronicle.com Hyderabad: As scientific disciplines go, the field of ‘Deep Learning’ is but an infant. However, it will soon have a disruptive effect on the field of drug design, experts say. They were speaking at a panel discussion as part of the ongoing international conference on high performance computing in Hyderabad on Wednesday. Deep learning, Read More
Source: forbes.com Artificial intelligence (AI) continues to expand its footprint in the enterprise and the economy. That’s the word from the AI Index, an annual data update from Stanford University’s Human-Centered Artificial Intelligence Institute. The index tracks AI growth across a range of metrics, from papers published to patents granted to employment numbers. In terms of total Read More
