AI monitors wildlife behavior in the Swiss Alps
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.
Switzerland and AI: tiny but mighty
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.
Beyond translation – making AI multicultural
A team of international researchers led by EPFL developed a multilingual benchmark to determine Large Language Models ability to grasp cultural context.
Trustworthy AI without Trusted Data
EPFL researchers developed a ground-breaking new tool to help build safer AI. Today, almost everybody has heard of AI and millions around the world already use, or are exposed, to it – from ChatGPT writing our emails, to helping in medical diagnosis.
Small-model approach could be more effective
Small language models are more reliable and secure than their large counterparts, primarily because they draw information from a circumscribed dataset. Expect to see more chatbots running on these slimmed-down alternatives in the coming months.
“Technology alone won’t be able to solve major societal challenges”
Daniel Gatica-Perez, named the best teacher in the digital humanities section for 2024, believes it’s important to stress the human factor in how technology is adopted and used. His research looks at social computing and human-centered artificial intelligence (AI) – both of which are fast-moving fields.
Designing life with artificial intelligence
“Designing Life with AI” is a cross-disciplinary MAKE project in which EPFL students get a chance to explore the research process by designing proteins. A total of eight research labs are involved.