Name: Pseudorandomness and Space Complexity: New Methods, New Insights, and New Milestones
Start: 2023-03-17T11:00:00-04:00
End: 2023-03-17T12:00:00-04:00
Location: Michigan Memorial Phoenix Laboratory, Suite 2000

Feb 27

9:30 am - 10:30 am

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

1005 EECS Building 1301 Beal Ave, Ann Arbor

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Events

Multisensory Dexterity for Robotics

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

Building the Tools to Program a Quantum Computer

Programming Quantum Materials for Next-Gen Photonics

From Agents to Optimization: User Interface Understanding and Generation

Learning, Reasoning, and Planning with Neuro-Symbolic Concepts

Harnessing Terahertz Signals to Bridge Digital and Neurological Divides

Thinking Outside the GPU: Systems for Scalable Machine Learning Pipelines

Small-scale robots – from one to a swarm

Understanding and Enhancing Deep Neural Networks with Automated Interpretability

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

Foundations for Efficient Information Usage

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

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

Learning to Perceive the 4D World

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

Unobtrusive Bioelectronic Platforms for Personalized Healthcare

Where can quantum computers outperform classical computers?

Generative Computer Vision for the Physical World

Adventures in Feature Space: Vector Similarity Measures for Machine Learning

Steering Machine Learning Ecosystems of Interacting Agents

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

Introduction to Classes and Objects in Python

Bloom Filters and MinHash: Two Probabilistic Data Structures

kNNs and Hyperparameter Optimization

Why reinvent the wheel? A lecture on software engineering with reuse

Teaching Demonstration: An Introduction to Register-Transfer-Level Design Decomposition

Generalizing Beyond the Training Distribution through Compositional Generation

Towards Practical Superconducting Computing with Technology-Driven Optimizations

Programmable Software Systems for Correct High-performance Applications

Circular Interactive Material: making ubiquitous computing more scalable and sustainable

Learning from Interaction

Efficient Deep Learning with Sparsity: Algorithms, Systems, and Applications

Towards Principled Sequential Decision-Making

Intelligent Textiles for Physical Interactions

Power Electronics Hardware Accelerating Grid Technology Evolution and Deployment

Towards Provably Safe and Secure Systems with Contract-Based Design

Unleashing the Power of Ubiquitous IoT Sensors for Ambient Intelligence

Finding Shortest Paths in the Real World