Artificial Intelligence Seminars

Praneeth Vepakomma Seminar

Benchmarking LLMs’ Judgments with No Gold Standard

Small Hybrid Language Model

Web Agents: A New Frontier for Embodied Agents

The Next Big Thing in A.I.

Building a Unicorn Startup and Accelerating Innovation with AI Physics

Knowledge-guided Machine Learning

Broadening Perspectives on African Governance in the Age of AI

Weight Space Learning: Learning Representations of Populations of Neural Networks

The Future is Hear: Innovations from the Interactive Audio Lab

AI Lab Idea Snippets

Scalable Real-time Abnormal Event Detection

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

MSLD | Midwest Speech & Language Days

MSLD | Midwest Speech & Language Days

Leveraging Formal Methods for Trustworthy AI-assisted Software Development

On Building General-Purpose Home Robots

Towards a Science of Human-AI Decision Making: Empirical Understandings, Computational Models, and Intervention Designs

From Autonomy to Synergy: Envisioning Next Generation Human-AI Partnerships

Realizing AI for Impact: Uncertainty and Human-Agent Collaboration in Multi-Agent Systems for Public Health and Conservation

Strategic Reasoning in Machine Learning, with Implications for Security and Fairness

Code Representation Learning at Scale

Data-driven Solutions for Blood Glucose Management

Bridging AI, Data, and Epidemiological Models

Automatically Capturing and Reflecting Latent Label Dependencies in Machine Learning Models

Human-Centered Artificial Intelligence at Howard University