Exploring AI to advance
research, innovation,
and education

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Citizen's Assembly
on AI

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AI helps chemists design
molecules step by step

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EPFL Researchers have successfully
mimic dyslexia in an AI brain

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AMLD Intelligence Summit
2026

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Apertus: a fully open, transparent,
multilingual
language model

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Transforming cancer care
with Artificial Intelligence

AI generates first complete models of proteins in motion

EPFL researchers have used a neural network to create all-atom models of proteins, as well as the dynamic movements that govern their function. Their comprehensive yet simplified approach resolves a major bottleneck in biology.

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New AI closes data gaps and shows how extreme weather emerges on Earth

Gaps in data and difficult‑to‑compare datasets limit what climate and weather AI models can reliably predict. Researchers from the ETH Domain have now introduced an AI model that helps close these gaps, reconstructs satellite images, and sheds light on how weather, land and water interact.

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AI helps chemists design molecules step by step

An EPFL-led study shows how language models can guide chemical synthesis and explain reactions using plain-language instructions.

A concept illustration of the development of Synthegy. Credit: Ella Maru Studio.
A concept illustration of the development of Synthegy. Credit: Ella Maru Studio.
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Drones and AI help cities combat traffic congestion

Traffic jams are a problem in large urban areas. How can they be solved without expanding the road network? This is a challenge that researchers are attempting to address. 

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EPFL researchers successfully mimic dyslexia in an AI brain

For the first time researchers have used an advanced AI model that understands both images and language allowing them to model dyslexia, paving the way for potential new treatments.

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What your voice gives away

With AI, the voice has acquired a new significance. Behind the words lies data that can be used both to diagnose a health problem and to steal someone’s identity.

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How to teach the same skill to different robots

A new framework developed by EPFL researchers makes it possible to teach a skill to robots with different mechanical designs, allowing them to carry out the same task safely without rewriting code for each.

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