ML

18-19/11/2019 – AI3SD Network+ Conference – Holiday Inn Winchester & Winchester Science Centre

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We are the AI3SD Network+ (Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery). The network+ is funded by EPSRC and hosted by the University of Southampton and aims to bring together researchers looking to show how cutting edge artificial and augmented intelligence technologies can be used to push the boundaries of scientific discovery. We launched in December 2018, and this conference marks the end of our first year. This is a two day event with a mixture of keynote talks from experts in the different areas of AI for Scientific Discovery, and discussions around different research areas. There will be dedicated time for networking and we will be implementing a smart badge system whereby attendees can mark their badges according to whether they are looking for a collaborator, employment, job candidates, PhD students etc. We will report on the activities of AI3SD over the last year, including the workhops and hackathons we have run and attended, and there will be an opportunity to hear from the projects we funded in AI3SD-FundingCall1. On the evening of the 18th there will be drinks and networking in the Winchester Science Centre followed by a pre dinner talk by famous Science Communicator Steve Mould! This will be followed by a formal conference dinner at the Holiday Inn. 

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Read more about the article 12-13/09/2019 – AI3SD Machine Learning for Chemistry Training Workshop & Hackathon – Wide Lane Southampton

12-13/09/2019 – AI3SD Machine Learning for Chemistry Training Workshop & Hackathon – Wide Lane Southampton

On the 12th and 13th September 2019 AI3SD hosted a training workshop and hackathon, intended to help upskill scientists in Data Science, AI and Machine Learning techniques for Chemistry and…

Continue Reading12-13/09/2019 – AI3SD Machine Learning for Chemistry Training Workshop & Hackathon – Wide Lane Southampton

12-13/09/2019 – AI3SD Machine Learning for Chemistry Training Workshop & Hackathon – Wide Lane Southampton

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This training workshop and hackathon is intended to help upskill scientists in AI and Machine Learning techniques for Chemistry and provide some challenges to test out their new skills. This event will run over two days with lunch and dinner provided on day 1 and lunch provided on day 2. Day 1 will begin with some training courses to add to or refresh your knowledge, followed by creating your teams and choosing which challenge you wish to address! There will be mentors on hand to provide advice during the hacking, and there will be pizza provided and the use of the wide lane facilities until 8pm. On day 2, the morning will be spent hacking and after lunch the groups will come together to present their work!

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Read more about the article 18/07/2019 – AI3SD, Dial-a-Molecule, Directed Assembly & University of Leeds AI & ML in Chemical Discovery & Development

18/07/2019 – AI3SD, Dial-a-Molecule, Directed Assembly & University of Leeds AI & ML in Chemical Discovery & Development

On the 18th and 19th July 2019 AI3SD teamed up with the Dial-a-Molecule Network, Directed Assembly Network and the University of Leeds to run a meeting for AI/Machine Learning for…

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18-19/07/2019 – AI3SD, Dial-a-Molecule, Directed Assembly & University of Leeds AI and ML in Chemical Discovery and Development – Weetwood Hall, Leeds

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Website Link: http://generic.wordpress.soton.ac.uk/dial-a-molecule/ai_ml_chem_disc/ Description This is a joint networks event between AI3SD, Dial-a-Molecule, Directed Assembly Network and the University of Leeds, and it will be held at Weetwood Hall in Leeds on 18-19th July 2019. This residential event aims to bring together stakeholders with different backgrounds, e.g.academic/industry, researchers/data owners, and chemists/engineers/computer scientists, to discuss applications of AI and Machine Learning in Chemical Discovery and Development. A series of structured discussion sessions over the two days will be carried out to form a general consensus on some key objectives and milestones to deliver the promised impacts of these important tools within the remit of the three networks. The discussions are also expected to lead to new and unusual collaborative project proposals which may address the more immediate objectives. This event is free to attend and registration will include all refreshments, lunches on both days, a networking dinner on the 18th and, if required, one nights’ accommodation at Weetwood Hall. Numbers are strictly limited. We expect demand to be high and we want to make sure we have a good balance of interests amongst our attendees. Therefore we ask all those interested to submit a short application on the Leeds AI_ML event application form by the closing date of 17th May. Applications will be assessed and applicants will be notified of the outcome within 4 weeks of submission.

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Read more about the article 11/07/2019 – AI3SD Funds ECR to attend ISTCP: 10th Triennial Congress of the International Society for Theoretical Chemical Physics

11/07/2019 – AI3SD Funds ECR to attend ISTCP: 10th Triennial Congress of the International Society for Theoretical Chemical Physics

AI3SD offers funding for ECR members of AI3SD looking to attend conferences that are relevant to the Network+. On the 11th July, Dr Grant Hill from the University of Sheffield…

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01/05/2019 – AI3SD Semantics and Knowledge Learning for Chemical Design Workshop – Solent Conference Centre, Southampton

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Designing chemicals, discovering new drugs, discovering materials and indeed all aspects of scientific discovery are all tasks that are highly data driven, and semantic web technologies are key to enabling researchers to deal with high levels of data in a useful and meaningful way. Semantic technologies facilitate representing data in a formal, structured, and interoperable way, and enable data to be reasoned over to infer potential relationships. In this workshop we seek to explore the ways in which semantic web technologies can be used to drive predictions in chemical design, including using Machine Learning and other AI techniques to exploit semantic links in knowledge graphs and linked datasets. There will be several keynote talks, an expert panel chaired by Professor Jeremy Frey, and a chance for breakout discussions. Lunch will be provided and the day will end with networking drinks.

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