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Talks & Speaker Series

An archive of the talks MSAIL hosted from 2020 to 2024.

2024

  • MSAIL Tech Talk with Kiran PrasadKiran Prasad
  • MSAIL Tech Talk with Wesley TianWesley Tian

2022

  • An Overview of Attention and Transformer Mechanisms for NLPNisreen Bahrainwala
  • An Overview of Binarized Neural NetworksTimothy Baker
  • Concrete Problems in AI SafetyAshwin Sreevatsa
  • Fairness in Machine LearningSerafina Kamp
  • Machine Learning for Intraoperative Diagnosis of Brain Tumors Imaged using Stimulated Raman HistologyCheng Jiang
  • Open Problems in Cooperative AIAshwin Sreevatsa
  • Scaling Neural Tangent Kernels via Sketching and Random FeaturesKevin Wang
  • The Devil is in the Details: Spatial and Temporal Super-Resolution of Global Climate Models using Adversarial Deep LearningSanjeev Raja

2021

  • AlphaFold 2 and the Protein Folding ProblemAshwin Sreevatsa
  • Contrastive Learning with Hard Negative SamplesKevin Wang
  • Deep RL for Robotics: A Short OverviewNikhil Devraj
  • How We Built This: TDM Studio and Sentiment AnalysisDan Hepp and John Dillon
  • Human-in-the-Loop Natural Language ProcessingDr. Jonathan Kummerfeld
  • Intelligent Politics: How AI Can Improve Our Political Institutions and SystemsAndong Luis Li Zhao
  • Latent Semantic AnalysisNisreen Bahrainwala
  • Learning Effective Representations for Small MoleculesMukundh Murthy
  • Michigan AI Alumni PanelAnthony Zheng, Kiran Prasad, Andong Li Zhao, Christian Kavouras
  • Speech Emotion Recognition with MLLance Ying
  • Understanding MLOps for Computer Vision PipelinesDatature Team

2020

  • AlphaZero and its Impact on the World of ChessKevin Wang
  • Bloomberg Tech Talk: Applied Named Entity RecognitionDaniel Preotiuc-Pietro and Mayank Kulkarni
  • Brain-Inspired AIJohn Day
  • Faculty Talk: Cognitive ArchitectureProfessor John Laird
  • Faculty Talk: Prediction Markets and MoreDr. Sindhu Kutty
  • Faculty Talk: Situated Language Processing and Embodied DialogueProf. Joyce Chai
  • Faculty Talk: Strategic Reasoning in Dynamic EnvironmentsProfessor Michael Wellman
  • Human-Centered Autonomous VehiclesPatrick Morgan
  • Image-to-Image Translation with Conditional Adversarial NetworksAndrew Awad
  • Reinforcement Learning Applied to COVID-19 Optimization ProblemsNikhil Devraj
  • Text Summarization with Deep LearningYashmeet Gambhir
  • The Trend Towards Large Language ModelsSean Stapleton

Date unconfirmed

  • Cognitive Load EstimationPatrick Morgan
  • Harmful Bias in Natural Language GenerationYashmeet Gambhir
  • Proving Theorems with Generative Language ModelsAshwin Sreevatsa
  • Using Transformers for VisionAndrew Awad and Drake Svoboda

The speaker series is on a break. Join the Slack to hear when talks resume.