Exploring AI to advance
research, innovation,
and education

Add a body paragraph text

1-7

Learn more about us

Citizen's Assembly
on AI

Read the report

2-7

Apertus 1.5: Building the
next generation of open AI
AI infrastructure

Read the article

3-7

Using future data to better
predict Switzerland's
rail demand energy

Read the article

4-7

"AI tools are cultural artifacts,
not neutral software"

Read the article

5-7

Apertus: a fully open, transparent,
multilingual
language model

Add a body paragraph text

6-7

Read article

7-7

Read article

Transforming cancer care
with Artificial Intelligence

Using future data to better predict Switzerland’s rail energy demand

In collaboration with SBB, EPFL researchers have developed an AI model that improves next-day electricity-demand forecasts across Switzerland’s rail network, reducing major prediction errors by up to 80%.

(more…)
Read more

EPFL Lab and UNICC advance responsible AI through joint evaluation of LLM safety

The collaboration delivers a practical evaluation framework that can be adapted to assess the safety and reliability of AI systems

(more…)
Read more

“AI tools are cultural artifacts, not neutral software”

How to keep information trustworthy when content is increasingly machine-made? EPFL professor Andrea Cavallaro shares his view.

(more…)
Read more

Mice actively seek better views to make visual decisions

A study led by EPFL shows that when objects are difficult to see, mice don’t simply look harder. They move to find better viewpoints, adjusting their behavior according to how much visual information is available.

(more…)
Read more

Nine ERC Advanced Grants awarded to EPFL researchers

The European Research Council (ERC) awarded nine “ERC Advanced Grants” to EPFL researchers. This prestigious funding scheme gives senior researchers the opportunity to pursue ambitious, curiosity-driven projects that could lead to major scientific breakthroughs.

(more…)
Read more

EPFL researchers create an AI model that thinks like we do

An EPFL team has created a new Large Language Model that is structured similarly to a human brain, allowing users more control and moving away from “black box” AI.

(more…)
Read more