We are glad to announce the talk series on AI for sustainability (AI4S) organized by the ETH AI Center. Check out our website ai.ethz.ch/research/talk-….

#AI4S is a series of talks to bring together experts from AI and #EnvironmentalSciences to foster collaboration and dialogue. Check out the Spring 2022 programme: ai.ethz.ch/research/talk-… ETH AI Center Matteo Turchetta

JOB OPENING! Do you want to use your data science and software engineering skills for a good cause? Check out our opening for a research position at the intersection of sustainable agriculture and machine learning! jobs.ethz.ch/job/view/JOPG_…

Biodiversity is one of our planet’s most precious resources. But it is declining fast. Food and Agriculture Organization’s Framework for Action on Biodiversity for Food & Agriculture provides guidance on how to sustainably use & conserve #biodiversity 👉bit.ly/3LBp9fc #ForNature

CCAI is delighted to invite submissions to our virtual #NeurIPS2022 workshop on "Tackling Climate Change with Machine Learning". Mentorship deadline Aug 18 submission deadline Sep 18. Find out more in webinars on Aug 15 (10AM ET) and 16 (2PM ET) and at climatechange.ai/events/neurips…

New Climate school postdoc fellowships now open for applications, especially on AI and climate, or carbon sequestration/capture (including natural solutions) climate.columbia.edu/postdoctoral-r…. Application Deadline: Monday, October 31, 2022, by 5 p.m. Eastern Standard Time

Our paper was accepted at #NeurIPS2022 dataset and benchmarks🎉🎉. I hope it encourages the use of RL in data-driven sustainable agriculture🌱🤖. Work with L. Corinzia, S. Sussex, A. Burton, J. Herrera, Ioannis Athanasiadis, J. Buhmann, Andreas Krause. openreview.net/forum?id=Zx5qJ…

Join us for the AI and sustainability workshop at the AI+X Summit (ai.ethz.ch/industry/AIplu… ) organized by the ETH AI Center on 14/10. Talks and panel discussion with Thomas Brunschwiler, Panagiotis Martakis, Christoph Gössmann, Ben Moseley, and David Dao.

Two #tenuretrack positions open: Assistant/Associate Professors in #AI at the Geo-Information Science and Remote Sensing Lab at Wageningen University 🇳🇱 Apply before Nov 5! Position descriptions & how apply wur.nl/en/research-re… #postdoc #ML #agrifood #environmentalscience

Excited to present our work titled “Near-Optimal Multi-Agent learning for Safe Coverage Control” at NeurIPS next week. Paper: arxiv.org/pdf/2210.06380… Code: github.com/manish-pra/Saf… Work with: Matteo Turchetta, Melanie Zeilinger, Andreas Krause. Thanks to ETH AI Center. (1/3)

I will be at #NeurIPS2022 for the whole week. Thrilled about the first in-person conference after a long time. Reach out if you want to chat about RL, its applications to sustainable agriculture, and more 🌱🤖

Come to our poster tomorrow (Hall J #1013) to learn about RL for sustainable food systems #NeurIPS2022 #Sustainability #reinforcementlearning 🌽🌽

If you are interested in Bayesian Optimization, Safety, Multi-Agent learning or Submodularity, Drop by for a chat at our poster #325 at 4 PM, #NeurIPS22.

AgMIP launches a new research line on #machinelearning for agricultural modelling #AgML Join us for #AgMIP9 Global Workshop #NYC and online - June 26-30 Session on Machine Learning for Agricultural Applications agmip.org/agmip9/ #AI4good #AI4Agri

Our workshop on 'New Frontiers in Learning, Control, and Dynamical Systems' will take place at #ICML2023. Aim: to unravel mutual relationships across these disciplines and shed light on recent parallel developments! Stay tuned for updates! frontiers4lcd.github.io

Looking forward to attending #AgMIP9 Global Workshop. I will be in #NYC 23-30 June. Happy to chat about all things Machine Learning, Smart Agriculture, and Sustainability agmip.org/agmip9/ #AI4good #AI4Agri

Interested in learning how Reinforcement Learning can be applied in the real world? Come and join us at the #LaunchAIXSummit2023 tomorrow (14:30)! At our panel, we will explore the transformative impact of RL on real-world problems.ETH AI Center launch-aixsummit.com/workshops #RL #AI

🔥 I'm thrilled to announce that I'll be joining the University of Zurich Universität Zürich as an Assistant Professor in Machine Learning next year! I'll be supervising PhD students, so stay tuned for updates on my website, or feel free to reach out via email.