Join us for presentations by
followed by a panel discussion with our speakers and
This event delves into the evolving role of Artificial Intelligence (AI) in scientific research, exploring the intersection of AI with various disciplines, including physics, humanities, social sciences, mathematics, and biology. Participants will gain insights into how AI is transforming the scientific process, from uncovering new research areas to enhancing dissemination of results. The session will also highlight key challenges such as reproducibility, transparency, and interpretation, as well as broader ethical and societal concerns surrounding AI in science. Discussions will cover the impact of AI on science and the science systems. This event offers a comprehensive platform for exploring AI’s potential while addressing the hurdles that come with its integration into scientific practices.
Organised in collaboration with the AI4Science Lab, this event is part of the UvA Data Science Day. Throughout the day, you can attend presentations and workshops on data science and AI at various UvA campus locations. You can register for this session only, or choose more sessions that interest you and create your ideal programme!
After the success of last years’ ChemAI Symposium, the organisers decided to assemble this year a whole ChemAI week! From Monday, November 25th until Friday, November 29th, the Amsterdam Chemistry Network (ACN), AI4Science, and TI-COAST, will host several interesting ChemAI satellite events, such as courses and webinars, on the topic of artificial intelligence and chemistry, culminating in the second ChemAI Symposium on the Friday afternoon.
ChemAI Weekday | What’s happening |
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Monday, 25 November | • 11:00 - 12:00 hr: research lecture (title to be announced) by Robert Pollice • 15:00 - 17:00 hr: Elements of Artificial Intelligence: Crash Course Machine Learning for Chemists hybrid meeting at Science Park and online by Bernd Ensing and Robert Pollice |
Tuesday, 26 November | • 15:00 - 16:00 hr: Harnessing Deep Learning for Drug Discovery: Challenges and Opportunities AI4Science/CSM seminar by Francesca Grisoni |
Wednesday, 27 November | • 14:00 - 15:00 hr: Machine Learning Acceleration of Electronic Structure Calculations Lecture by Hannes Jonsson in Science Park 906 room C0.110 • 15:00 - 16:30 hr: Unlocking Data in the Cambridge Structural Database for Functional Materials Innovation Online workshop by Dr. Andrew Peel of the Cambridge Crystallographic Data Centre |
Thursday, 28 November | • 10:00 - 12:00 hr: Get Hands-On with Open Multi-Modal Foundational Models for Materials and Chemistry Online workshop by Dr. Seiji Takeda and Dr. Indra Priyadarsini of IBM Research |
Friday, 29 November | • Lab tours at Science Park • ChemAI Symposium |
Monday, 2 December | • 15:00 – 18:30 The Future of Pharma is Active Learning Online symposium hosted by Jakob Zeitler (Matterhorn Studio/UCL) with speakers from Novo Nordisk, Bayer, Merck, Exscientia, and more. |
Together with the Amsterdam Chemistry Network and TI-COAST, we are organizing the second ChemAI Symposium on November 29th in the Lab42 building at Science Park Amsterdam. Please join us! We are looking forward to connect with academic and industrial partners to enlarge our consortium. Click on the button below to see the program and to register.
Get an impression of the event from the video and photo gallery of last years’ ChemAI 2023:
Now that our first round of AI4SMM projects have been staffed and started, we are organizing an official AI4SMM Kickoff Symposium.
Together with the Amsterdam Chemistry Network, we are organizing the ChemAI Symposium this November 16th in LAB42 in Amsterdam. Please join us! We are looking forward to connect with academic and industrial partners to enlarge our consortium. Click on the button below to see the program and to register.
This first ChemAI symposium was a great hit, with over 200 participants, of which half from companies and other non-academic institutions. In November 2024, we will organize the second edition of ChemAI. To get an impression of ChemAI 2023, click on the button below to see the photo gallery and find the powerpoint presentations of the speakers.
For more than 20 years, research on enzymes and bio-mimetic catalysis has been conducted. What is the current status of understanding and can we use artificial intelligence to design synthetic catalyst systems that function by the same principles as native enzymes?
During this Friday afternoon, we present and discuss exciting developments and opportunities of AI and machine learning for scientific research in Chemistry, Ecology, Physics, Life Sciences, and Astrophysics. Meet your colleagues from different research institites, present a poster, explore your ideas for AI4Science projects, become a member or the AI4Science consortium, or join for a drink.
The event was a great success! Click the button for some impressions of the event.
Chem Together is the place to meet with professionals from your field of expertise. We like to think of this event as an idea market, a place where you can share and exchange opinions on interesting projects and new trends in Chemistry for Sustainability and Chemistry for Life Sciences. This edition the topic is “Chemistry meets Artificial Intelligence”. Hosted by the Amsterdam Chemistry Network.
The AI4Science Kickoff Workshop aims to bring junior and expert researchers together that share the interest in artificial intelligence developments for scientific discovery. Several invited speakers working on the forefronts of combining data science with e.g. systems biology, particle physics, molecular modeling, and astrophysics, will talk about intriguing scientific challenges and their latest developments to tackle them. We also take this moment to announce and celebrate the completion of this stage of the AI4Science Laboratory. Five PhD students that started their research projects in the last months will briefly highlight the current state-of-the-art and their future perspective on using AI in their respective scientific domains. Virtual workshop hosted by ELLIS.