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DTSTART;TZID=UTC:20260923T090000
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SUMMARY:Demystifying Agentic AI & AI Agents Workshop
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE23 SEPTEMBER 2026 TIME09:00 – 17:00 COST£25 REGISTRATION DEADLINE11 SEPTEMBER 2026 \n\n\n\nbook now\n\n\n\nView Agenda\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nUNIVERSITY OF LEEDSDepartment of Chemistry\, Woodhouse Lane\, Leeds\, LS2 9JT \n\n\n\n\n\n\n\n\nJoin us for this one day workshop and unlock the potential of AI agents and retrieval-augmented generation (RAG) in chemical science. This interactive\, hands-on workshop is designed to bring together researchers from academia and industry to explore how emerging AI approaches can transform chemical research and innovation. Whether you are new to these technologies or already experimenting with them\, this event will provide both practical skills and a collaborative space to shape future applications. \n\n\n\n\n\n\n\nWhy attend? \n\n\n\nParticipants will gain: \n\n\n\n\nHands-on experience with RAG models and agentic AI systems\, guided by experts\n\n\n\nA practical understanding of real-world challenges when applying these tools to chemistry\n\n\n\nOpportunities to collaborate across disciplines\, connecting early-career researchers\, academics\, and industry professionals\n\n\n\nThe chance to co-develop ideas and proposals with clear industrial relevance\n\n\n\n\n\n\n\n\nWho Should Attend: \n\n\n\nThis workshop is open to researchers across academia and industry who are interested in applying AI to chemical science.We particularly encourage: \n\n\n\n\nPhD students\n\n\n\nPostdoctoral researchers\n\n\n\nEarly Career Independent Academic\n\n\n\nPrincipal Investigators and industry professionals to join strategic discussions shaping future challenges and collaborations\n\n\n\n\nWhat you’ll gain: \n\n\n\nThe day combines practical training with collaborative innovation: \n\n\n\n\nA hands-on RAG workshop\, delivered by Data Revival\n\n\n\nA hackathon session focused on building AI agents for chemistry\n\n\n\nA sandpit session for PIs and industry to define challenges\, methodologies\, and collaborative opportunities\n\n\n\nStructured discussions to develop clear\, proposal-ready ideas with defined outcomes and teams\n\n\n\n\n\n\nContact Details\n\n\n\nFor questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk \n\n\n\n\n\nThe Organising Committee\n\n\n\nAIchemy HubUniversity of LeedsDr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Professor Bao Nguyen
URL:https://aichemy.ac.uk/event/demystifying-agentic-ai-ai-agents-workshop/
CATEGORIES:Symposium
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SUMMARY:Winter School: Robotics and AI for Materials Chemistry 2026
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE23 – 27 NOVEMBER 26 ACADEMIC PARTICIPANTS£150 INDUSTRY PARTICIPANTS£300 \n\n\n\nAPPLY HERE\n\n\n\n agenda COMING SOON\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nNovotel Hotel\, University of Liverpool Campus3 Paddington Village\, Liverpool\, L69 7ZD \n\n\n\n\n\n\n\n\nThe Robotics and AI for Materials Chemistry Winter School is a five-day intensive training programme focused on digital and automated chemistry\, robotic systems\, and AI-driven scientific discovery. Hosted at the University of Liverpool\, the school is designed for PhD students and early-career researchers\, or those new to digital chemistry and AI\, and who want to build their capabilities in this rapidly evolving field. A strong working knowledge of Python is required to fully benefit from the practical sessions and technical content. \n\n\n\nThis Robotics and AI for Materials Chemistry Winter School will: \n\n\n\n\nProvide essential skills in digital chemistry\n\n\n\nStrengthen understanding of AI and machine learning\, building on participants’ existing knowledge\n\n\n\nOffer hands-on experience with key tools and techniques for automated\, intelligent lab environments\n\n\n\n\nParticipants will explore a range of cutting-edge topics\, including: \n\n\n\n\nDigital twins for robotic chemists\n\n\n\nBayesian optimisation for chemical discovery\n\n\n\nAI-driven robotic chemists\n\n\n\nRobotic manipulation for lab automation\n\n\n\nSimulation of robotic chemists\n\n\n\nComputer vision-led chemistry\n\n\n\nMulti-modal machine learning for science\n\n\n\nAgentic AI-based discovery\n\n\n\nHuman-in-the-loop robotic discovery\n\n\n\n\nAfter a hugely successful 2025 Winter School\, we’re delighted to bring it back for 2026. Take a look at last year’s programme and highlights to see what to expect. \n\n\n\n\n\nProvisional Programme – Coming Soon\n\n\n\n\n\nSpeakers – More to be announced\n\n\n\n\n\nProf. Michael MistryUniversity of Edinburgh\n\n\n\n\n\nDr. Lauren Ye SeolUniversity College London\n\n\n\n\n\nProf. Andi ZhangUniversity of Warwick\n\n\n\n\n\nDr. Chenghao LiuCaltech\n\n\n\n\n\n\n\nAlexandra GessnerAstraZeneca\n\n\n\n\n\nProf. Simos GerasimouUniversity of York\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAccommodation and Travel\n\n\n\nPlease note that the registration fee does not include accommodation\, travel or subsistence. Participants are responsible for arranging their own accommodation and transport during the Winter School. \n\n\n\nWe are happy to recommend the Novotel Liverpool Paddington Village\, a modern hotel conveniently located within walking distance of the University of Liverpool campus. This hotel offers comfortable rooms\, breakfast options and easy access to local amenities. \n\n\n\nA social networking event will be hosted on one evening during the school and is included in the registration. \n\n\n\nFor those seeking alternative options\, Liverpool offers a wide range of hotels\, serviced apartments\, and budget accommodations within easy reach of the University. \n\n\n\nLiverpool is well-connected by rail\, with Liverpool Lime Street Station approximately a 10-minute walk from the University campus. For those travelling by car\, parking is available at the Paddington Village Car Park\, located close to the University and the recommended hotel. \n\n\n\nAirports:\n\n\n\n\nLiverpool John Lennon Airport (LPL) – Around 30 minutes from the University by taxi or public transport. The airport offers flights to many UK and European destinations.\n\n\n\nManchester Airport (MAN) – Around 1 hour by train or car\, with direct rail connections to Liverpool Lime Street. This airport provides a wide range of international flight options.\n\n\n\n\n\n\n\n\nHow to Apply:\n\n\n\nPlaces are limited and to ensure a balanced mix of expertise and perspectives we are asking applicants to apply. As demand is expected to be high\, we ask all interested participants to complete the application form by 24th August 2026 and decisions will be given to applicants by 31st October 2026. \n\n\n\nPlease note: all bookings are non-refundable. \n\n\n\n\n\n\n\nContact details:\n\n\n\nFor questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk. \n\n\n\n\n\n\n\n\nThe Organising Committee:\n\n\n\nAlchemy HubUniversity of LiverpoolDr. Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Dr Gabriella PizzutoDr Xenofon EvangelopoulosProf. Alessandro TroisiMinh CaoDr Mengjia ZhuDr Xin Yang
URL:https://aichemy.ac.uk/event/winter-school-robotics-and-ai-for-materials-chemistry-2026/
CATEGORIES:Training School
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