News

EPFL scientists have used deep learning to design new proteins that bind to complexes involving other small molecules like hormones or drugs, opening up a world of possibilities in the computational design of molecular interactions for biomedicine.

The Swiss National Science Foundation (SNSF) has awarded three “SNSF Advanced Grants” to EPFL researchers, including Florent Krzakala in the School of Engineering.

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.

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.

Artificial intelligence (AI) may be a weapon of mass disinformation, but a recent report has demonstrated that its impact thus far has been limited.

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.

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.

Attributing human traits to machines is nothing new, but with the rise of generative artificial intelligence, anthropomorphism is taking on a new dimension. This trend raises crucial philosophical and ethical issues, while redefining our relationship with technology.