FEATURE AI & Virtual Reality
COVID-19 pandemic accelerates business interest in AI robots
Manufacturers looking to safeguard their workforce from the virus, while ensuring business continuity, are turning to Musashi AI
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CONTACT:
Musashi Seimitsu Industry Co. Web:
www.musashi.co.jp/en/ SixAI Web:
www.sixai.tech
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A
lysophil has announced the creation of a library of one million molecules that have not yet been
synthesised. The library was built using several deep neural networks trained since 2017. Its creation is part of an approach combining deep learning technologies with deep tech industrial activity. Alysophil aims to develop a new industrial chemistry
based on innovative processes together with its artificial intelligence tools (ALChemAI). This project, which was end to end led by Alysophil’s R&D team to support its industrial teams, shows that it is possible to create molecules in silico for a specific market, using connected AI algorithms. This database will allow Alysophil to meet the challenges of complex customer and stakeholder requirements and produce the relevant molecules on a short-cycle basis, using new syntheses made possible by flow chemistry. “This marks an important milestone for our
company,” says Philippe Robin, CEO and co-founder of Alysophil. “With this catalogue we will be able to promptly offer novel solutions to meet our partners’ needs, while setting out manufacturing processes with a reduced environmental impact, by using flow chemistry manufacturing (biosourced raw materials, reduced use of solvents and energy, reduced waste and the ability to manufacture at various scales). This work perfectly represents our philosophy in action: flow chemistry empowered by artificial intelligence.” “Our work meets the challenges in the rapid
development of multifunctional molecules for markets that demand significant innovation, such as the defense and aerospace sector and the cosmetics, flavours and fragrances sector,” says Luc Brunet, co-founder in charge of R&D and AI. “Our partners tend to be global companies, primarily based in Europe and India. Our aim is to play an active role in transforming the industry in the OECD economies – in the United States in particular – and in fields such as electronics and other users of high value molecules, where our technologies could lead to breakthrough innovations.” This development, announced by Alysophil, forms part
of its future-oriented approach in smart manufacturing. It demonstrates the relevance of combining deep learning and deep tech capabilities. Development processes are greatly reduced thanks to these innovative tools and approaches, stemming from applied research.
Automation | April 2020 13
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