Faculty Candidate Seminar

Name: Developing Responsible AI Monitoring Technologies for Chronic Care
Start: 2025-04-07T10:30:00-04:00
End: 2025-04-07T11:30:00-04:00
Location: 3725 Beyster Building

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Faculty Candidate Seminar

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Events

Faculty Candidate Seminar

Introduction to Classes and Objects in Python

Pareto-efficient AI systems: Expanding the quality and efficiency frontier of AI

Steering Machine Learning Ecosystems of Interacting Agents

Adventures in Feature Space: Vector Similarity Measures for Machine Learning

Generative Computer Vision for the Physical World

Where can quantum computers outperform classical computers?

Unobtrusive Bioelectronic Platforms for Personalized Healthcare

Advancing Ultrawide-Bandgap Semiconductors for Next-Generation Power and Radiation-Hardened Electronics

Learning to Perceive the 4D World

Teaching Demonstration: What Should I Test? How to Think About and Select Test Inputs

Ultra-wide Bandgap based High Voltage Electron Devices towards Grid Scale Applications

Foundations for Efficient Information Usage

Next-Generation High-Power RF Sources – Establishing GaN IMPATT Technology and Beyond with Ultra-Wide Bandgap Semiconductors

Understanding and Enhancing Deep Neural Networks with Automated Interpretability

Small-scale robots – from one to a swarm

Thinking Outside the GPU: Systems for Scalable Machine Learning Pipelines

Harnessing Terahertz Signals to Bridge Digital and Neurological Divides

Learning, Reasoning, and Planning with Neuro-Symbolic Concepts

From Agents to Optimization: User Interface Understanding and Generation

Programming Quantum Materials for Next-Gen Photonics

Building the Tools to Program a Quantum Computer

Privacy, Copyright, and Data Integrity: The Cascading Implications of Generative AI

Multisensory Dexterity for Robotics

Performance Interfaces for Systems Software and Hardware

Deep Microscopic Quantum Electrodynamics: Spotlight on Quantum-Light Science and Technology

Sublinear Algorithms and Quantum Computing

Neural Operator for Scientific Computing

Security & Privacy through Programmable Cryptography, Compilers, and Verification

Aligning AI Agents with an Ideal

Developing Responsible AI Monitoring Technologies for Chronic Care