Two years ago, researchers at MIT proposed a provocative idea: as AI models become more powerful, they begin to see the world in the same way. But not everyone was convinced and now EPFL scientists have shown that the picture is more nuanced.

EPFL researchers are developing AI models that could one day enable vision prosthetics able to restore meaningful, object-level sight for the blind.

EPFL researchers have developed Saturn and TANGO, two complementary AI frameworks that make generative molecular design faster, more efficient, and closer to real laboratory chemistry.

Through a collaboration between the EPFL Center for Quantum Science and Engineering (QSE) and SCITAS, EPFL has become the first Swiss academic institution to establish a virtual platform offering advanced quantum computing capabilities to its researchers.

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.

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.