Learn Computer Vision with Jetson Nano Using Python
Learn computer vision fundamentals and apply them to real-world projects using Jetson Nano. Develop skills in eye tracking, self-driving car simulation, and face recognition with hands-on experience.
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.
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.
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.
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.
How Morphological Computation Shapes Integrated Information in Embodied Agents
Exploring the relationship between morphological computation and integrated information in embodied agents, highlighting their antagonistic nature and impact on brain-body-environment interactions.
Generative Adversarial Models for Privacy and Fairness
Explore generative adversarial models for enhancing privacy and fairness in machine learning, covering differential privacy, GANs, and real-world applications in data publishing and encoding.
Signal Recovery with Generative Priors - SIAM-IS Virtual Seminar
Explore signal recovery using generative priors in imaging, discussing neural network models, recovery guarantees, and applications in compressed sensing and phase retrieval.
Neurology
Comprehensive exploration of nervous system anatomy, physiology, disorders, and treatments through engaging animations. Ideal for medical students and patient education.
From Data Crimes to Self-Supervised Reconstruction: Advancing AI-based MRI
Explore AI-based MRI advancements, from data crime prevention to self-supervised reconstruction techniques, with insights from UC Berkeley's EECS expert.
Stochastic Games with Neural Perception Mechanisms
Explore strategic reasoning in multi-agent systems using partially-observable stochastic games and neural perception mechanisms for optimal strategy synthesis in complex environments.
Real-Time Inference of Neural Networks: A Guide for DSP Engineers
Explore real-time neural network inference for DSP engineers. Learn practical steps, compare inference engines, and balance latency, performance, and stability in audio plugin development.
Physics Informed Machine Learning: High-Level Overview of AI and ML in Science and Engineering
Explore how to integrate physics into machine learning, enhancing model accuracy and efficiency in engineering applications. Learn to leverage prior physical knowledge across all stages of the ML process.
Models on the Move: Towards Feasible Embedded AI for Intrusion Detection on Vehicular CAN Bus
Innovative AI model for efficient intrusion detection on vehicular CAN bus, enhancing automotive cybersecurity with high accuracy and low latency using FPGA hardware acceleration.
This and That: Language-Gesture Conditioning of Visual Generative Models for Robotics - Tech Talk #7
Explore visual generative models, language-gesture conditioning, and video-to-robot action in this tech talk on advanced machine learning for robotics, featuring research insights and future directions.
Model-Based Deep Learning in Signal Processing and Communications
Explore model-based deep learning applications in signal processing and communications with expert Nir Shlezinger in this IEEE Signal Processing Society webinar.
Saving the Post-Quantum World with Neural Networks
Explore neural networks' role in post-quantum cryptography and cybersecurity. Learn about cutting-edge research and applications in this emerging field of information security.
Stable Adaptation and Learning in Nonlinear Systems and Neural Networks
Explore nonlinear systems tools for insights on collective computation and learning in large dynamical networks, focusing on stable adaptation and implicit sparse regularization.
A Comparison of Virtual Analog Modelling Techniques - Part 2
Explore virtual analog modeling techniques, from traditional methods to neural networks and grey-box approaches, using the Boss DS-1 guitar pedal as an example. Compare generalization and problem-solving across different circuit types.
Pipeline for VA Modelling with Physics-Informed Machine Learning
Explore a VA modelling pipeline using Differentiable Wave Digital Filters and neural networks for accurate, real-time circuit modelling, demonstrated with a diode clipper circuit.
Leveraging Pruning and Quantization for Efficient Real-Time Audio Applications
Explore pruning and quantization techniques to enhance efficiency of complex audio models for real-time processing in resource-constrained environments. Gain insights into model compression for audio applications.