Today’s Talk
We propose a framework to optimize hierarchical, variable-length objects under a black-box performance metric, with the ability to incorporate in situ constraints. The framework uses deep learning via a simple idea: use a large model to search the space of small models. Specifically, we …
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Tonight’s Talk
The ATOM Modeling PipeLine, or AMPL is an open-source, modular, extensible software pipeline for building and sharing models to advance in silico drug discovery. One of the key requirements for incorporating machine learning (ML) into the drug discovery process is complete …
Tonight’s Talk
Machine Learning and Artificial Intelligence (ML/AI) have shown great success in consumer applications and have been the main drivers for growth and innovation in the past decade. Industrial applications are fast catching up resolving their own unique set of technical, regulatory, and scalability challenges …
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Gabriel de Souza P. Moreira, PhD
About Tonight’s Talk
Recommender systems help users to find relevant content, products, media and much more in online services. They also help such services to connect their long-tailed (unpopular) items to the right people, to keep their users engaged …
Chapter Introduction Slides
2022-01-19 IEEE CS SF/OEB Jt. Chapter – Tech Talk Introduction from NathanaelFrank
2022-01-19 IEEE CS SF/OEB Jt. Chapter – Tech Talk Slides by Yuhong Liu, PhD
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Tonight’s Talk
As we move further into the big data era, people are motivated in numerous ways to proactively generate, share and exchange diverse digital contents online every day. While the increasing amount of information greatly facilitates people’s decision makings, it also brings great …
