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Forbes Staff Минпромторг начал поиск подрядчика для проведения маркетингового исследования аппаратно-программные комплексов для развития искусственного интеллекта. В числе объектов исследования — нейроморфные процессоры, основанные на принципах работы мозга. Начальная цена контракта — 70 млн рублей shares Минпромтор...

So at the moment, from nuclear decommissioning and processing of nuclear waste, this is mainly done by human operators who have to wear protective clothing and it takes about five to six hours to go and get these protective clothes on and they then have to travel to to the site where they undertake the work for another hour or so, undertake the work for two hours and afterwards they have to come back and get undressed. one of the benefits of using robotic solutions for that is that they do not have to go in these protective clothings, they are in the environment all the time. they can work 2a ...

To wear protective clothing and it takes about five to six hours to go and get these protective clothes on and they then have to travel to to the site where they undertake the work for another hour or so, undertake the work for two hours and afterwards they have to come back and get undressed. one of the benefits of using robotic solutions for that is that they do not have to go in these protective clothings, they are in the environment all the time. they can work 24 hours, seven days a week. here is the room in action. the white dots are radiation damaging the camera's electronics. building t...

NLMK Group and MIPT launch MS in Machine Learning 3 June 2021 9 June 2021 NLMK Group and MIPT launch MS in Machine Learning NLMK Group, a global steel company, together with Moscow Institute of Physics and Technology (MIPT), is launching a Machine Learning Systems for Smart Manufacturing Master’s Programme. Students will be able to choose one of two majors: Data Science (modern machine learning theory) or AI Engineering (development of machine learning pipelines). Students will be introduced to the principles and features of production data-driven software development fro...

Polish computational chemistry outfit Molecule.one has raised $4.6M to expand its quest to bring theoretical drug molecules to reality. Its machine learning systems predict the best ways to synthesize potentially valuable molecules, a crucial part of creating new drugs and treatments. Molecule.one went on stage at Disrupt SF 2019's Startup Battlefield, where they explained the difficulty faced by the drug discovery industry, basically that they come up with lots of theoretical treatments but can't actually make the molecules.