Understanding Deep Learning 2024
Join us this October for a series of online lectures, with renowned researchers from the world's leading universities and institutions, discussing the latest advances in Deep Learning.
October 14-18
October 14th to 18th, 2024 for an in-depth exploration of Deep Learning, covering topics such as LLM's, Graph Neural Networks, Topological Deep Learning, Reinforcement Learning and applications of Deep Learning at the frontiers of science.
Renowned International Speakers
Hear from experts from MIT, Cambridge, UC Santa Barbara, Purdue University, University of Amsterdam, and institutions like DeepMind and Cohere. Cutting-edge insights from top AI experts.
ABOUT THE EVENT
The UnderstandingDL 2024 is an international event organized by the group Data at USP São Carlos, of the Institute of Mathematical and Computer Sciences (ICMC) . Dedicated to the study and dissemination of knowledge in Data Science to both the internal and external public of the university. If you want to know more about Data:
Click Here.
The goal of the event is to bring together researchers from various parts of the world to present their research and make knowledge more accessible to everyone. Among the topics covered in the lectures are Multilingual LLMs, Image Representation in Multiresolution using Neural Networks, among many others .
The UnderstandingDL 2024 aims to give visibility to researchers and their contributions. Groups like Brains and C4AI support and sponsor the event, along with the support of the largest university in Latin America, the University of São Paulo .
SCHEDULE
Multilingual LLMs
Sebastian Ruder is a research scientist based in Berlin, Germany. He leads the Multilinguality team at Cohere whose mission is to improve the multilingual capabilities of Cohere's large language models (LLMs). Before that he was a research scientist at Google DeepMind. He completed his PhD in Natural Language Processing (NLP) at the Insight Research Centre for Data Analytics, while working as a research scientist at Dublin-based text analytics startup AYLIEN. Previously, he studied Computational Linguistics at the University of Heidelberg, Germany and at Trinity College, Dublin.
Sebastian Ruder
Metrized Deep Learning
Jeremy Bernstein holds a bachelor's degree in Experimental and Theoretical Physics from Trinity College, and a Ph.D. in Computing and Neural Systems from Caltech and is currently a postdoctoral researcher at the Massachusetts Institute of Technology (MIT). His research focuses on the mathematical foundations of natural and artificial intelligence. His main interests include discovering the computational and statistical laws that govern intelligence, both natural and artificial, with the aim of designing more efficient, automatic and practically useful learning systems, as well as exploring the social implications of artificial intelligence.
Jeremy Bernstein
Our Sponsors
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