Topics covered include: AI international agreements or standards; existential risk; approach to education in AI; impact of AI generated misinformation; Dark AI.

This talk addresses how Natural Language Processing (NLP) can be extended to low-resource languages, which so far have yet to attract enough NLP research. For more details about our events or to…

This talk covers topics in data warehousing, OLAP, and dimension modeling. For access to past events or to join our Dlist to hear about future programs, visit …

This talk is on threats and challenges in security due to quantum computing, - addressing the challenges with quantum principles and post-quantum cryptography. For more details about our events or…

The panelists delve into a range of questions on leveraging the predictive power of GenAI for personalized medicine, enhanced diagnostics, ethical dilemmas, and more.

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The talk presents the speaker’s research on how to teach Large Language Models to be faithful problem solvers and perform reasoning from non-human feedback.

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Lakshmanan Sethu from Google, Chinmay Nerurkar from Microsoft, and Ruchi Agarwal from Netflix, and Vishnu Pendyala from SJSU discuss information fabrication in Large Language Models. For past…

The ensemble techniques covered include bagging, boosting, stacking, and related algorithms such as random forest, Adaboost, and gradient boosting. One-shot and few-shot learning are also briefly…