Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI like chatbots so good at understanding and using words.
EPFL researchers have developed a customizable soft robotic system that uses compressed air to produce shape changes, vibrations, and other haptic, or tactile, feedback in a variety of configurations. The device holds significant promise for applications in virtual reality, physical therapy, and rehabilitation.
Scientists at EPFL have created MammAlps, a multi-view, multi-modal video dataset that captures how wild mammals behave in the Swiss Alps. This new resource could be a game-changer for wildlife monitoring and conservation efforts.
While the US and China battle for AI supremacy, Switzerland is charting a different course – one that prioritizes quality over scale, public-private collaboration, and ethical AI development.
AI making it easier to diagnose tuberculosis in sub-Saharan Africa
EPFL and Lausanne University Hospital (CHUV) are part of an African-EU partnership awarded €10-million by the EU’s Global Health EDCTP3 Joint Undertaking to roll-out an AI-driven application for more accessible and cost-effective tuberculosis (TB) diagnosis.
A team of international researchers led by EPFL developed a multilingual benchmark to determine Large Language Models ability to grasp cultural context.
AI: “The next big leap will deal with multimodality”
Being the head of the Natural Language Processing Laboratory at EPFL, Antoine Bosselut keeps a close eye on the development of generative artificial intelligence tools such as ChatGPT. He looks back at their evolution over the past two years and suggests some avenues for the future.
