Generative AI Tutorial Series: Visualizing and Presenting Data Michigan Institute for Data Science 1,17 тыс. подписчиков Скачать
GenAI Tutorial Series: From Search to Synthesis: AI Tools for Literature Discovery and Summarization Скачать
GenAI Tutorial Series, "Making GenAI Better for You: Experimentation for Custom Research Solutions" Скачать
AI-Driven Research Workflows: "Information Rich Strategies for Chemical Synthesis" - Tim Cernak Скачать
Clinical, Standardization & Algorithmic Pathways to Automating Discovery with EHR Data -Charles Mayo Скачать
AI-Driven Research Workflows: AI-based behavioral analysis for preclinical & clinical research Скачать
Linking Scientific Instruments and Computation: Patterns, Technologies, Experiences - Ian Foster Скачать
AI-Driven Research Workflows: Lessons learned from a million automated experiments - Paul Jensen Скачать
Data & AI in Society: The Impact of AI on the Live and Rights of Women in the US and the Middle East Скачать
Generative AI Tutorial Series: Using Generative AI to Assist in Coding in Data Science Research Скачать
GenAI Diffusion Models: Deep Generative Physical Modeling, Medical Imaging & Wireless Communications Скачать
GenAI Diffusion Models: A tutorial on score-based generative models w/ medical imaging applications Скачать
GenAI Diffusion Models: “Understanding Diffusion Model Objectives from the Perspective of ELBO” Скачать
GenAI Diffusion Models mini-symposium: Foundation Models & Inverse Problems, Alex Dimakis, UT Austin Скачать
Plug-and-Play Methods, Inverse Problems: Self-Calibration, Conditional Generation & Continuous Rep. Скачать
GenAI Diffusion Models mini-symposium: “Diffusion Models for Inverse Problems in Medical Imaging” Скачать
Generative AI Coast to Coast Webinar Series: An Under the Hood Look at Gen AI: Potentials & Pitfalls Скачать
Generative AI Coast-to-Coast Webinar Series: A Conversation on Policy, Ethics, and Generative AI Скачать
MIDAS: Responsible Data Science and AI mini-symposium, “From interstellar rocks to dark energy” Скачать
MIDAS: Responsible Data Science and AI mini-symposium, “Building a culture of Responsible AI” Скачать
MIDAS: Responsible Data Science and AI mini-symposium - "Equity in Data Science" with H. V. Jagadish Скачать
MIDAS: Responsible Data Science and AI mini-symposium, “Human-machine partnership for conservation” Скачать
MIDAS Data and AI in Society Forum Series: "Generative AI, Composition, and Creativity" - 4/19/23 Скачать
Jay Lee - Industrial AI Augmented Prognostics of Highly Connected and Complex Industrial Systems Скачать
MIDAS Summit 2022 Day 1: Suzanne Bakken- Advancing Discovery and Application in Health Data Science Скачать
MIDAS ARW: İlkay Altıntaş - Dynamic Capability Composition at the Digital Continuum from Edge to HPC Скачать
MIDAS ARW: Tapio Schneider - Accelerating and Improving Climate Models with Hybrid AI Approaches Скачать
Jule Krüger & Ragnhild Nordås: “Data Processing Principles for Auditable and Reproducible Research” Скачать
Yi Zhao - MIDAS Reproducibility Challenge Winner: "Statistical Methods for Replicability Assessment" Скачать
Donglin Zeng, Int. Tools from Stat Modelling and ML to Learn Optimal Treatment Regimes from EHR Скачать
Enrico Di Minin, Social media in conservation science: opportunities, challenges and going forward Скачать
Chris Lindsell, Design, deployment and analysis of platform trials for repurposed drugs in Covid-19 Скачать
Lia Corrales, How I learned to stop worrying about low signal-to-noise data and love statistics Скачать
Pauline Kim, Race-Aware Algorithms: Fairness, Nondiscrimination, Affirmative Action - MIDAS Seminar Скачать
Juliana Freire, Towards Usability, Transparency, and Trust for Data-Driven Discovery - MIDAS Seminar Скачать
MIDAS 2021 Annual Symposium: How machine learning can support human creators, Rebecca Fiebrink Скачать
Building Equitable Ecologies of AI and Machine Learning - Artists and Data Scientists Mini Symposium Скачать
Phebe Vayanos, Towards robust, interpretable, and fair social and public health interventions Скачать
MIDAS Seminar Series and ICPSR Co-present: Misty Heggeness, Research Economist, US Census Bureau Скачать
MIDAS, U-M AI Lab, IT Dissonance Series, and Ethics, Society, and Computing Present: Timnit Gebru Скачать
Data Science Coast to Coast Presents: Dr. Jeanne Holm – Chief Data Officer, City of Los Angeles Скачать
MIDAS & The Department of Political Science Co-Present: Stuart Soroka – University of Michigan Скачать
MIDAS Annual Symposium: Students’ mobility patterns on campus and the implications for recovery Скачать
MIDAS Annual Symposium: Workshop - Data Science and NLP to Find Rare Classes of Entities from Text Скачать
MIDAS Annual Symposium: Workshop - Intro to Python for Community and K-12 Teachers & Students Скачать
MIDAS Annual Symposium: Workshop "The State of the Art in Automated and Semi-Automated Video Coding" Скачать
MIDAS Annual Symposium 2020: Fireside Chat with Eric Horvitz - Chief Scientific Officer, Microsoft Скачать
The perils and promise of machine learning for life-threatening infection – J. Scott Van Epps Скачать
MIDAS COVID-19 Series: Predictions, Role of Interventions and the Crisis of Virus in India... Скачать
MIDAS COVID-19 Seminar Series: If the outbreak ended, does that mean the interventions worked? Скачать
Siqian Shen A Summary of Operations Research and Industrial Engineering Tools for Fighting COVID-19 Скачать
