
Explore feedback control using cameras, bridging control theory and machine learning. Learn about challenges, recent advances, and potential applications in robotics and AI.

Comprehensive video editing tutorial covering Premiere Pro's interface, importing, editing techniques, effects, audio, text, and exporting. Ideal for beginners and intermediate users seeking to master digital video creation.

Learn techniques to optimize Webflow websites for faster loading, covering image handling, file formats, compression, lazy loading, font optimization, and JavaScript management.

Learn to combine AI and BI for maximum business value. Discover how to identify and assess AI use cases, explore common applications in BI, and see a live demo of PDF text extraction using computer vision.

Learn face recognition with real-time database integration using computer vision techniques. Develop skills in encoding, database management, and attendance tracking through hands-on projects and practical implementations.

Learn to create real-world computer vision applications using Arduino, from basic exercises to exciting projects like gesture control and face tracking. Gain practical knowledge to build your own innovative ideas.

Learn to train Object Detection Transformers using DETR, from environment setup to custom dataset training and model evaluation. Covers PyTorch, COCO datasets, and PyTorch Lightning for efficient deep learning workflows.

Learn to process and visualize 3D data using Open3D library. Explore point clouds, meshes, and 3D models. Hands-on tutorial covers installation, folder structure, and voxel downsampling techniques.

Learn Python basics and build four beginner-friendly projects: word counter, word game, calculator, and face recognition. Gain hands-on experience and practical skills in Python programming.

We will cover the basics of Tensorflow and Machine Learning in the initial sessions and advanced topics in the latter part. After this course, the students will be able to build ML models using Tensorflow.

Explore NVIDIA DeepStream's multi-object tracker options, architecture, and optimization strategies for AI-based vision applications, with focus on NvDCF tracker and configuration parameters.

Comprehensive introduction to AI and deep learning, covering key concepts, applications, and historical context. Explores data processing, computational requirements, and course structure.

Comprehensive review of self-supervised and contrastive learning frameworks in computer vision, exploring methodologies, performance, and potential applications in medical imaging.

Explore innovative techniques for segmenting and quantifying breast arterial calcifications in mammograms, aiming to improve cardiovascular risk assessment for women through non-invasive methods.

Explore innovative few-shot learning methods for chest X-ray diagnosis using clinical and literature images, enhancing radiology image analysis with advanced machine learning techniques.

Explore innovative self-supervised denoising techniques for diffusion MRI using denoising diffusion models. Learn about a three-stage framework integrating statistic-based theory for improved medical imaging quality.

Explore algorithms for explaining deep network decisions, building user trust, incorporating domain knowledge, learning grounded representations, and correcting unwanted biases in AI models.

Explore techniques for curating and analyzing annotated medical images across institutions, focusing on data sharing challenges, anomaly detection, and OOD-aware image retrieval for improved dataset quality and future analysis.

Explore cutting-edge deep learning methods for ECG and echocardiogram analysis, outperforming traditional algorithms and offering insights into cardiovascular imaging interpretation.

Exploring gaze data as a novel supervision source for training deep learning models in medical image classification, focusing on chest X-rays and brain MRI scans for improved efficiency and accuracy.

Explore the impact of technological revolutions on global power dynamics, focusing on the US-China AI race and drawing insights from historical technological shifts.