L'EMbeDS Journal Club & Science Meetings: "Is sophistication a panacea? The learning capacity of random feature models for financial forecasting"

Starting from the 18th March 2026, the DS³ organizing group, launched a new bottom-up initiative: the Journal Club. Through this format, all members of the L'EMbeDS community can propose and present recently published papers (no more than one year prior to the presentation), with the aim of:

• keeping the community up to date with cutting-edge methodologies and applications in Data Science and AI;
• fostering collaboration among researchers from different disciplines and areas of expertise;

Alongside the Journal Club, the DS³ group is also introducing the Science Meetings: sessions where L'EMbeDS researchers can present ongoing or preliminary work (ideally a not concluded one), receive constructive feedback, and explore potential collaborations across the community. 

For announcements, further information and participation details please visit our web page and join us on Slack.

The next Science Meeting will feature Martial Laguerre, presenting:

"Is sophistication a panacea? The learning capacity of random feature models for financial forecasting"

When: June 3 | 10:00 AM
Where: Aula 5, Central Building - Main Campus
Online: Join via Teams