Computational Microscopy Using LED Array for 3D Phase Imaging - Prof. Lei Tian
Explore advanced computational microscopy techniques using LED arrays for multimodal imaging, 3D phase reconstruction, and deep learning applications in high-resolution biological sample analysis.
Healthcare Innovation: Lessons from Silicon Valley - TEDMED 2011
Explore how healthcare can leverage Silicon Valley innovations, from crowdsourcing to wearable tech, to revolutionize product development and patient care.
Neural Imaging and Computational Displays - SPACE Webinar Series
Explore cutting-edge imaging technologies with Prof. Wetzstein, covering single-photon sensors, deep optics, holographic displays, and hybrid optical-electronic CNNs for advanced signal processing applications.
Customized CT Workflow and Task-Driven Imaging Techniques
Explore advanced CT imaging techniques, including customized workflows, task-driven imaging, and novel acquisition methods for improved image quality and task performance in medical diagnostics.
Hyperspectral Neutron Imaging and Tomographic Reconstruction - Challenges and Methods
Explore advanced tomographic reconstruction techniques for neutron CT and cryoEM, focusing on challenges, model-based approaches, and applications in materials science and chemical mapping.
SPACE Webinar: X-ray CT Scatter Modeling and Estimation
Explore advanced X-ray CT techniques, including scatter modeling, neural networks, and minimax problems, to enhance image quality and reduce artifacts in medical imaging.
Physical and Social Human-Robot Interaction - Keynote by Giorgio Metta
Giorgio Metta discusses iCub humanoid robot research, focusing on physical and social human-robot interaction. Explores machine learning for contact interpretation and contactless cues to enhance user-robot interaction.
Introduction to NetLogo by Bill Rand
Learn agent-based modeling with NetLogo to simulate complex systems, explore emergence, and understand when to use ABM for research in social sciences and economics.
Where Does the Statistics of Complex Systems Come From?
Explore the origins of complex systems statistics through sample space reducing processes, Zipf's law, and network diffusion. Gain insights into driven non-equilibrium systems and their statistical properties.
Robots as Future Caregivers
Exploring the potential of robots as future caregivers, envisioning innovative solutions for healthcare and elderly support.
PROGRESS Workshop on Diversity in Signal Processing - Day 2, Part 1
Diverse presentations on inclusive AI education, equitable teaching methods, computational textbooks, and research funding opportunities across different countries and institutions.
Artificial Intelligence and Digital Forensics - A Much-Needed Alliance
Explore the intersection of AI and digital forensics, uncovering innovative approaches to combat digital crimes and enhance cybersecurity in this cutting-edge webinar.
Computational Photography and Image Processing Advancements - SPACE Webinar Series
Explore computational imaging with Prof. Sabine Süsstrunk from EPFL in this IEEE Signal Processing Society webinar, focusing on advanced techniques and applications in image processing.
Deep Learning for Computational Imaging - SPACE Webinar Series
Explore advanced signal processing techniques with Prof. Bihan Wen from NTU, focusing on cutting-edge research and applications in the field of signal and image processing.
Detection Is Not Enough - Attack Recovery for Safe and Robust Autonomous Robotic Vehicles
Explore novel frameworks for safe attack response in autonomous robotic vehicles, enabling mission continuation despite malicious interventions through feed-forward control and sensor isolation techniques.
Auditing Data Privacy for Machine Learning
Explores privacy risks in machine learning, including data extraction from models, membership inference attacks, and tools for auditing privacy. Discusses implications for AI regulations and privacy-by-design approaches.
Institutions, Innovation, and the Social Production of Collective (Un)Intelligence
Explore how institutions and innovation shape collective intelligence, examining scientific attention, discovery limitations, and strategies for fostering creativity in research and knowledge production.
Contextual Security: A Critical Shift in Performing Threat Intelligence
Exploring contextual security solutions to overcome limitations of machine learning in cybersecurity, using knowledge graphs for improved threat intelligence and explanation-based security.
AI for Cybersecurity - Overview of the Field and Promising Future Directions
Explore AI applications in cybersecurity, including threat intelligence and adversarial machine learning. Learn about data sources, limitations, and future directions in this field.
As We May Code: Augmenting Software Security with Automated Reasoning
Exploring how cloud services and automated reasoning revolutionize software security, from development to bug detection, with examples from Microsoft's "Project Springfield" and future implications.
Optimization-in-the-Loop AI for Energy and Climate - IPAM at UCLA
Optimization-in-loop AI framework for climate action: enhancing ML models with physics, constraints, and decision-making processes for energy grids, building efficiency, and more.