MaLGa Colloquia - Science at Scale Without Scaling Up
Title
MaLGa Colloquia - Science at Scale Without Scaling Up
Speaker
Emanuele Rodolà - Sapienza Università di Roma
Abstract
Scientific discovery is moving at a pace that is increasingly hard to track. While we have looked to AI to manage this information explosion, current "artificial scientist" models are running into serious technical and ethical barriers. The dominant trend of scaling up has become too expensive and environmentally costly, creating a divide that favors only the most resource-rich institutions. This presentation is going to propose a different path: interoperable machine learning. Instead of building bigger black boxes, we'll look at how we can repurpose and stitch together existing models. This approach has the potential to make AI more sustainable, democratize research, and ensure that human scientists stay central to the process of creating and verifying knowledge.
Bio
Emanuele Rodolà is a Full Professor of Computer Science at Sapienza University of Rome, where he leads the GLADIA group on AI. His work in this field has been supported by an ERC grant, a FIS grant, and a Google Research Award among others. In the past, he was a postdoctoral researcher at USI Lugano (2016–2017), a Humboldt Fellow at TU Munich (2013–2016), and a JSPS Fellow at the University of Tokyo (2013), in addition to visiting periods at Tel Aviv University, Technion, École Polytechnique, and Stanford. He is a fellow of ELLIS and a fellow of the Young Academy of Europe. Professor Rodolà has received numerous awards for his research and plays an active role in the academic community, serving on program committees and as Area Chair for major conferences in AI and ML. His current research focuses primarily on neural model fusion, representation learning, language models, ML for audio, and multimodal learning, with around 200 publications in these areas. His work has been featured in media outlets including Fortune, Wired, RAI, and Internazionale.
When
Thursday, May 28th, 16:15
Where
room 506, DIMA/DIBRIS, Via Dodecaneso 35