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Can transformers follow instructions? We explore this in: "Looped Transformers as Programmable Computers" arxiv.org/abs/2301.13196 led by Angeliki (Angeliki Giannou) and Shashank (Shashank Rajput) in collaboartion with the Kangwook Lee and Jason Lee Here is a 🧵

Steering Large Language Models for Machine Translation with Finetuning and In-Context (virtual poster) with @duartealves Nuno M. Guerreiro @JoãoAlves jose pombal granja Ricardo Rei José G. C. de Souza Andre Martins Do not hesitate to pass by the poster and say hi to Duarte !

IBM and Meta launched a coalition of over 50 AI companies and research institutions that are pushing an open model of AI 🚀wsj.com/articles/meta-… via The Wall Street Journal

The IBM Research Zürich lab is at #NeurIPS2023 in NOLA! Come chat with us about all things research and life in Zürich, if you haven’t already 😉 IBM Research

Our paper got accepted at #AAAI24! 🎉 We propose two new sequence generation algorithms with "error bars", by adapting beam search to conformal predictions. If you use LLMs for science, like predicting molecules or proteins that verify some conditions, check it out!

👨🏾‍🎓 👩‍🎓 Attention MSc candidates! 📢 are you passionate about digital innovation in chemistry? Here’s your chance! 🌐 Join IBM Research 🇨🇭for a funded MSc thesis and explore the frontiers of digital chemistry. Secure your spot now for 2024: 👇#MScThesis #NCCRCatalysis

🚀🧪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)

I'm very excited about our first paper on benchmarking LLMs for chemistry!

🚀 Excited to share our latest work on how language models can revolutionize the identification of enzymatic binding sites in protein sequences! Check it out here: sciencedirect.com/science/articl… 🧬 #LLM #Proteins #Biocatalysis #Enzyme

Consider these fantastic opportunities in #Lausanne if you're into ML for Biomedicine and are looking for a PhD, PostDoc or master thesis! I can speak from experience and it has been super inspiring to work with Marianna Rapsomaniki!

Some news on my side 🎉 I will join Wageningen U&R as an assistant professor in September. My research remains at the intersection of bioinformatics and cheminformatics and I will focus on applications contributing to pharmacology and sustainability in (bio)chemical synthesis and ag.

This was done mostly by Mayk Caldas and Chris Collison - congrats on huge effort! We wrote for both newcomers to LLMs in chem and for experts. Mayk Caldas also set-up a repo for continuing to track the field! Paper: arxiv.org/abs/2407.01603 Repo: github.com/ur-whitelab/LL…

Our ICML paper: ML + quantum computing + optimal transport = 🚀! Learn distributions conditionally with quantum. Including a 24-qubit hardware run on the assignment problem (predicting doubly-stochastic matrices) IBM Research 📖 ibm.biz/qontot-icml 📹 ibm.biz/qontot-yt

Friends, as the saying approximately goes: "Fortune favours the bald" 👴 👉 My proposal "HOLES: Higher-Order Learning of Essential Structures with Geometry and Topology" was successfully funded with a 1.5M € European Research Council (ERC) Starting Grant! 👈 🤯🤯🤯 This will allow me to pursue

In "Language models can identify enzymatic binding sites in protein sequences", we identify binding site positions based on SMILES and protein AA sequences. Compared to predictions based on PFAM alignments, we significantly lower the false-positive rate. sciencedirect.com/science/articl…

A language model assistant for biocatalysis • Introducing LM-ABC, a computational tool that merges large language models with biocatalysis-specific modules to streamline enzyme engineering. The focus: natural language-guided workflows for enzyme optimization, binding site

Have a look at the latest preprint, spearheaded by Yves Gaetan, w/ Matteo Manica IBM Research — it introduces LM-ABC, a language model assistant for biocatalysis 👇

Chemists often combine many different techniques to elucidate structures. Adrian Mirza has been building a system that mimics this using machine-learning models and genetic algorithms.

🚨NeurIPS Workshop Paper🚨 Afraid of releasing LLMs trained on your confidential or proprietary data fearing training data leakage? Worried about how science will progress in domains with small, sensitive datasets? Fret not! We have a solution for you @ neuralcompression.github.io/workshop24👇

Great news to conclude 2024! I couldn’t think of a better team than the ones and only narf42 and Robert Pollice to work on this exciting project. 🚀 Cool times ahead for the collaboration between TU Eindhoven and University of Groningen!