The use of generative artificial intelligence in protein design stands to revolutionize new drug development. EPFL ambitions putting together a consortium to further explore this avenue.
A researcher at EPFL working at the crossroads of neuroscience and computational science has developed an algorithm that can predict how surprise and novelty affect behavior.
An open-source training framework to advance multimodal AI
EPFL researchers have developed 4M, a next-generation, open-sourced framework for training versatile and scalable multimodal foundation models that go beyond language.
New research from EPFL demonstrates that even the most recent Large Language Models (LLMs), despite undergoing safety training, remain vulnerable to simple input manipulations that can cause them to behave in unintended or harmful ways.
IC PhD graduate recognized with the ELLIS PhD Award 2024
EPFL’s Anastasiia Koloskova has won this year’s ELLIS PhD award, which recognizes European dissertations in the area of artificial intelligence and machine learning-related fields.
AI-Powered Virtual Cell Could Become Biology’s Universal Simulator
More than 40 researchers from across the fields of AI and biology, including from EPFL, have set out their vision for AI-powered Virtual Cells, arguing that these have the potential to revolutionize the scientific process.
