🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Great opportunity for excellent candidates to apply to join my research group for a postdoctoral position. Please reach out if interested.

If you are at the American Chemical Society Fall meeting in San Francisco join us at our boots and presentations to hear how AI and Quantum Computing are revolutionizing Scientific Discovery. IBM Research

Here some of the new technologies you can experience.

Don't miss the IBM Research and NCCR Catalysis contributions to #ACSFall2023. From Quantum Computing to Accelerated Discovery. And.. don't forget to visit us at Booth 249. research.ibm.com/events/acs-fal… Details on few team contributions in the 🧵1/n

Check out our Preprint in ChemRxiv on "Learning the Language of NMR: Structure Elucidation from NMR spectra using Transformer Models". We train models to directly predict the molecular structure from NMRs! Paper: ibm.biz/nmr_to_struc Alain Vaucher Federico Zipoli IBM Research

📢Interested in learning more about Structure Elucidation from IR spectra and at ACS in San Francisco? Come stop by my talk on Wednesday at 8:45 in Hotel Nikko or read the paper: ibm.biz/ir_to_struc Alain Vaucher Teodoro Laino IBM Research

📢 Want to know how to predict molecular structure from NMR spectra and at ACS in San Francisco? Come join my talk tomorrow at 16:15 in Room 203, South Building of the Moscone Building. Paper: ibm.biz/nmr_to_struc Alain Vaucher Federico Zipoli IBM Research

Highly interesting talk by Alain Vaucher at #Wifo2023 about the accessibility of AI models in chemistry. It's fascinating how fast the field evolved in such a short amount of time. Thanks for the inspiring talk! :) #AIinchemistry GDCh JungesChemieForum

Great to see our work IBM Research on prompt driven retrosynthesis in ACS Central Science highlighted by Organic Process Research & Development alongside several former colleagues and collaborators! 🌟Highlight: pubs.acs.org/doi/10.1021/ac… 📰Paper: pubs.acs.org/doi/10.1021/ac… #NLP #MachineLearning #Chemistry #AI

Here's our preprint on conformal sequence generation! w/ Marvin Alberts Maria Rodriguez Martinez arxiv.org/abs/2309.03797 Two new algorithms for sequence prediction sets with guarantees: - Conformal sub-beams: pruning standard beams - Conformal dynamic beams: step-by-step conformal decoding.

Large multimodal models for accelerated science. Is anyone with a strong engineering background interested in a **postdoc** at EPFL on scientific foundation/frontier model training and benchmarking? Send me an email with your CV/motivation and join the vibrant LIAC at EPFL!

Interested in Uncertainty Quantification for Sequence Prediction? Come check out our poster at AAAI today. We add rigorous uncertainty quantification to Beam Search using Conformal Predictions! Nicolas Deutschmann IBM Research

🚀🧪Today marks more than just news: it's a proud moment in which Syngenta and IBM teams celebrate the development and integration of cutting-edge technology into business operations through a long-lasting collaboration. shootsbysyngenta.com/success-story-… (1/5)

We research, build and ship some of the most exciting and challenging products in the world, with passion from Nairobi. Come join us build M365 Copilot. We ❤️ engineers and scientists that ❤️ breaking and building things! jobs.careers.microsoft.com/global/en/shar… Masakhane Deep Learning Indaba

Interested in computer-aided catalyst design? 🧑‍🔬💻Then apply by June 15 and join our team via the link 👇: jobs.ethz.ch/job/view/JOPG_… RTs appreciated!

We are hiring (resharing appreciated)! Given a few recent successful grant applications (I got my SNSF Starting Grant 🚀), we are extending the LIAC (LIAC at EPFL) team and have multiple openings (PhD/postdoc) for 2025. Are you interested in #AI4Science and machine learning

Introducing Gemini 2.5 Pro Experimental. The 2.5 series marks a significant evolution: Gemini models are now fundamentally thinking models. This means the model reasons before responding, to maximize accuracy -- and it’s our best Gemini model yet. Blog -