
Explore deep learning's future through sensor optimization and neural network architectures, examining nature-inspired approaches and cross-modal processing principles in signal processing.

Explore the verification framework enabling classical clients to reliably delegate learning tasks to quantum servers, focusing on parity learning and Fourier-sparse functions with mixture-of-superpositions examples.

Delve into quantum computation theory exploring the limitations of QNC0 and AC0 circuits in computing parity functions, with insights into decision tree complexity and nonlocal channels.

Delve into risk-aware sequential decision-making through distortion riskmetrics, exploring optimal arm mixture strategies and new algorithms for tracking these mixtures in multi-armed bandit problems.

Explore radar-based perception systems for autonomous vehicles, focusing on reliable object detection in adverse weather conditions and multi-sensor fusion techniques for enhanced safety.

Explore coding schemes for binary input-constrained channels, focusing on RLL constraints, Reed-Muller codes, and error resilience in both stochastic and adversarial channel models.

Explore wireless energy transfer technology in IoT networks, focusing on intelligent reflecting surface implementation, challenges, and solutions for efficient power transmission and harvesting.

Discover how to build Fly Catcher, a Raspberry Pi-based device using neural networks to detect spoofed aircraft signals through ADS-B monitoring and analysis in real-time.

Explore AI applications in electronic warfare, including real-time learning and evaluation techniques for enhancing battlefield responsiveness and effectiveness against complex emitters.

Explore cutting-edge AI for text-to-audio generation. Learn about AudioLDM, AudioLDM2, and more. Discover applications in sound design for movies, games, and VR. Includes live demos and open-source tools.

Learn to measure DC voltage and current with Arduino, covering basic principles, voltage dividers, external references, and current sensors like Hall Effect and INA219.

Explore LaMa, an advanced image inpainting system using Fourier convolutions for large mask removal. Learn about its architecture, loss function, and impressive results in reconstructing complex structures.

Explores FNet, a Transformer variant replacing attention with Fourier transforms. Discusses architecture, token mixing, and performance comparisons, highlighting efficiency gains and accuracy trade-offs in natural language processing tasks.

Explore methods for image restoration and regression using $\ell_p$-$\ell_q$ minimization, covering problem formulation, solution techniques, and applications in this advanced mathematical seminar.

Explore image denoising theory, its properties, and applications as building blocks for broader image processing tasks and inverse problem regularization.

Explore image vectorization, decomposition, and PDE identification techniques. Learn about silhouette extraction, image separation, and differential equation recovery from discrete data.

Explore quantum computing using Rydberg-interacting qubits, delving into advanced concepts and applications in this cutting-edge field of quantum technology and information processing.

Explore novel wearable biometric technologies for automatic human recognition, focusing on cutting-edge approaches and their applications in information forensics and security.

Explore cutting-edge research in image processing through poster presentations from the IEEE International Conference on Image Processing (ICIP) 2022.

Explore humanities analytics through three examples, learning text analysis methods to extract meaning from digital sources and enable new scholarship in the humanities.

Explore deep neural networks for speech separation, focusing on data preparation, network architectures, and real-time implementation on embedded devices for smart audio applications.