Media Summary: Moderator: Kristen Severson, Sr. Researcher, Microsoft Research New England Speakers: Ava Soleimany, Sr. Researcher, ... Michael I. Jordan, described by Science magazine as the most influential computer scientist alive, has never thought of himself as ... For more information about Stanford's Artificial Intelligence programs visit: This lecture provides a concise ...

Panel Experiments Models Inference And Algorithms Learning From Experts Who Do It All - Detailed Analysis & Overview

Moderator: Kristen Severson, Sr. Researcher, Microsoft Research New England Speakers: Ava Soleimany, Sr. Researcher, ... Michael I. Jordan, described by Science magazine as the most influential computer scientist alive, has never thought of himself as ... For more information about Stanford's Artificial Intelligence programs visit: This lecture provides a concise ... Computer Science & CLSP Seminar Series April 27, 2026 “Making LLMs Reason Better, Faster, and Longer” Mirella Lapata, ... From OpenXdata 2026 (Track 2): The Physics of LLM Keith McNulty has talked about Bayesian modeling and how it can help us understand and explain insights when we

This hands-on tutorial introduces practical Bayesian

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Panel: Experiments, models, inference and algorithms: Learning from experts who do it all
AI Inference: The Secret to AI's Superpowers
Intelligence is collective, not artificial — Prof. Michael I. Jordan (UC Berkeley / Inria)
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
Making LLMs Reason Better, Faster, and Longer – Mirella Lapata
MIA: 10 Years of Models, Inference & Algorithms (MIA) at Broad Institute
The Physics of LLM Inference at Scale | Suman Debnath (Anyscale) | OpenXdata 2026
Modeling on Small Data Using Bayesian Inference
Eytan Bakshy: Efficient Experimentation and Inference for Large Decision Spaces
Allen Downey - Bayesian Decision Analysis with PyMC: Beyond A/B Testing - PyData Global 2025
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