
Explore advanced computational microscopy techniques using LED arrays for multimodal imaging, 3D phase reconstruction, and deep learning applications in high-resolution biological sample analysis.

Explore wave imaging techniques, from traditional approaches to new methods, with a focus on microlocal analysis, Fourier integral operators, and neural network architectures for improved imaging.

Explore advanced imaging techniques for analyzing painting layers, including fluorescence, X-ray, and machine learning methods for art conservation and authentication.

Explore signal processing from compressed sensing to deep learning, covering task-based acquisition, sub-Nyquist sampling, super-resolution techniques, and hybrid algorithms combining model-based and data-driven approaches.

Explore Gabor analysis foundations using MATLAB, focusing on finite Abelian groups and matrix analysis methods. Learn to apply abstract harmonic analysis concepts to signal processing problems.

Explore cutting-edge applications of convolutional neural networks in profiled side-channel attacks, covering design principles, architecture, and data augmentation techniques.

Explore dynamic robot manipulation through integrated planning, deep learning, and cloud computing for high-speed, reliable motions in unstructured environments.

Explore wavelet transform for signal processing, uncovering hidden structures in data. Learn to build a wavelet toolkit, understanding its applications from hydrodynamics to neuroscience.

Explore 3D atomic structure analysis of nanomaterials using advanced quantitative TEM techniques, including parameter estimation, deep learning, and fusion of ADF STEM with EDX for heterogeneous materials.

Explore advancements in MR imaging through deep learning, optimization, and computing. Learn about faster, user-friendly techniques and new information extraction methods in medical imaging.

Explore real-time video analytics acceleration using CPU+FPGA platforms. Learn about performance optimization, latency reduction, and cost-effective solutions for industrial applications like fraud detection and surveillance.

Explore offensive OSINT, multimedia cybersecurity, persistent tracking, and deep neural networks in this comprehensive academic session on cutting-edge cybersecurity topics.

Explore public health strategies for managing hypertension, including burden assessment and effective interventions. Learn about population-level approaches to prevent and control high blood pressure.

Explore survival analysis prediction for cancer patients using machine learning techniques. Learn to harness computational methods for improved patient outcome forecasting and healthcare decision-making.

Explore generating high-quality differentially private synthetic data using foundation model APIs, overcoming challenges and achieving state-of-the-art results without accessing model weights.

Explore an experimental setup for collecting nRF2.4 and LoRa device signatures using software-defined radio, aimed at machine learning-based device authentication.

Explore building ML accelerators on affordable FPGAs using Python-based tools. Learn about open-source and proprietary options for FPGA development and the broader silicon landscape.

Utilize deep convolutional neural networks to map seagrass meadow distribution from satellite imagery, advancing marine ecosystem monitoring and conservation efforts.

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.

Explore banking cybersecurity challenges, including DeepFakes and AI-powered scams. Learn strategies to protect customer data, witness a live DeepFake demo, and discover proactive measures for safeguarding financial assets.

Explore building affordable FPGA-based ML accelerators using Python tools like PyTorch, ONNX, Migen, and LiteX. Learn about open-source silicon and vendor tools for cost-effective hardware development.