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Laurent Daudet – Promises and challenges of massive-scale AI – the case of large language models

Laurent Daudet – Promises and challenges of massive-scale AI – the case of large language models

Oct 23, 2024 | 2021, diiP, Distinguished Lectures

Laurent Daudet November 3, 4pm Room Turing Conseil, 45 rue des Saints Pères 75006 Paris & Online (Zoom)   Abstract   OpenAi’s GPT-3 language model has triggered a new generation of Machine Learning models. Leveraging Transformers architectures at...
Eamonn Keogh – Finding Approximately Repeated Patterns in Time Series: The most Useful, and yet most Underutilized Primitive in Time Series Analytics

Eamonn Keogh – Finding Approximately Repeated Patterns in Time Series: The most Useful, and yet most Underutilized Primitive in Time Series Analytics

Oct 23, 2024 | 2022, diiP, Distinguished Lectures

Eamonn Keogh February 2, 2022, at 4 PM Online (Zoom)   Abstract   Time series data mining is the task of finding patterns, regularities, and outliers in massive datasets. Given the ubiquity of time series in medicine, science, and industry, time series data...
Christopher Messenger – Outsourcing astrophysics data analysis to the real experts

Christopher Messenger – Outsourcing astrophysics data analysis to the real experts

Oct 23, 2024 | 2022, diiP, Distinguished Lectures

Christopher Messenger April 6, 2022, at 4 PM  Online (Zoom)   Abstract   As gravitational wave astrophysicists we find ourselves on the rising wave of machine learning sweeping through the physical sciences. In the past ~5 years many of us have embraced the...
Jean-François Masson – Surface enhanced Raman scattering (SERS) sensors: combining machine learning and nanosciences

Jean-François Masson – Surface enhanced Raman scattering (SERS) sensors: combining machine learning and nanosciences

Oct 23, 2024 | 2022, diiP, Distinguished Lectures

Jean-François Masson May 4, 2022, at 4 PM Online (Zoom)   Abstract   SERS and Raman spectroscopy yields large data sets with information-rich spectra. Classical linear methods are limited, especially for SERS spectra of single molecules, where the spectra...
Sarel Fleishman – Computational design of enzyme repertoires

Sarel Fleishman – Computational design of enzyme repertoires

Oct 23, 2024 | 2023, diiP, Distinguished Lectures

Sarel Fleishman November 2, 2022, at 4 PM Online (Zoom)   Abstract   We recently developed methods that combine phylogenetic analysis and Rosetta atomistic design calculations to design highly optimized variants of natural proteins. Our methods have been...
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