Bringing OpenCV to the Elixir World
Explore OpenCV integration in Elixir with Evision, learn its creation process, see practical demos, and discover its potential for computer vision and machine learning pipelines.
Evision: An Evolving Elixir Library for Computer Vision Tasks
Explore Evision, an evolving Elixir library for computer vision. Learn about Kino widgets, Nx integration, and performance comparisons across CPU, OpenCL, and CUDA for image processing tasks.
Distributed and Parallel Image Processing on Livebook - ElixirConf EU 2023
Explore distributed and parallel image processing in Elixir using Livebook. Learn to implement face-hiding techniques with Nx and Evision, leveraging Flow for faster and more robust processing.
Personalizing Your Images with AI-Powered Features - Conf42 Python 2024
Explore AI-powered image personalization techniques, from handling large image sets to implementing automated management solutions. Includes practical demo and resources for further learning.
Reverse Engineering the Visual System
Explorez les mécanismes du système visuel humain à travers une approche d'ingénierie inverse, révélant ses complexités et son fonctionnement fascinant.
Brain-Inspired Multimodal Deep Learning
Explore brain-inspired approaches to multimodal deep learning, enhancing AI systems with cognitive-like capabilities.
How Bumble Inc's Open Source Private Detector Is Helping Make the Internet Safer for Women
Explore Bumble's AI-powered Private Detector™: an open-source tool combating cyberflashing by detecting and blurring lewd images, making the internet safer for women.
Employing Computer Vision in Digital Asset Management
Explore how Haleon leverages computer vision and cloud tech to enhance digital asset management, improving metadata extraction and searchability for marketing materials.
Integrating Computer Vision and NLP for Smart Property Tagging
Discover how Computer Vision and NLP create 'smart tags' for efficient property searches, enhancing user experience and streamlining data processing in real estate.
Advancing Personalized Medicine and Radiotherapy through AI-Enabled Computer Vision
Explore AI and computer vision's impact on medical imaging for personalized medicine and radiotherapy, covering research, tools, and real-world applications.
Vision-Based Activity Detection Inside Vehicles - Automotive In-Cabin Sensing
Explore vision-based activity detection for in-vehicle safety, covering data collection, algorithm development, and SoC integration. Learn to create robust systems for monitoring driver behavior and reducing distraction-related accidents.
Synthetic Data for Computer Vision Problems When Real Annotation Is Too Expensive
Explore synthetic data generation for computer vision tasks when labeled data is scarce. Learn tools and approaches to build effective models using primarily synthetic data.
Cross-modal Transfer Between Vision and Language for Protest Detection
Explore cross-modal transfer for protest detection using vision and language data. Learn how to leverage pretrained models for zero-shot event detection across different modalities.
Machine Learning for E-commerce Product Discovery - Finding a Needle in a Haystack
Explore machine learning techniques for efficient e-commerce product discovery, addressing challenges and leveraging NLP, image recognition, and knowledge graphs.
So Moore's Law is Dead - Now What? The Future of AI Processing
Explore the future of AI processing beyond Moore's Law, focusing on innovative architectures designed for demanding ML workloads in finance and other sectors.
Machine Learning on the Edge - From Microcontrollers to Embedded Linux Devices
Explore ML deployment on edge devices, from microcontrollers to embedded Linux systems. Learn about hardware options, model adaptation, and deployment strategies for real-world applications.
Capsule Network-based Framework for Identification of COVID Cases from X-ray Images
Explore a Capsule Network framework for COVID-19 detection in X-ray images, addressing small dataset challenges and outperforming CNN models.
Machine Learning-Driven Phenotyping Platform for Rapid In Vivo Target Validation and Precision Medicine
Develop a zebrafish phenotyping platform using 3D-printed mounts and computer vision for drug discovery, enabling rapid gene-to-phenotype analysis and accelerating clinical translation.
TorchSparse++ - Efficient Training and Inference Framework for Sparse Convolution on GPUs
Explore efficient GPU-based sparse convolution with TorchSparse++, an advanced framework for training and inference in deep learning applications.
Efficient 3D Perception for Autonomous Vehicles
Explore efficient 3D perception techniques for autonomous vehicles, including multi-sensor fusion, accelerated view transformation, and optimized backbones for real-time performance on edge devices.
Dimensionality Reduction and Segmentation with Decision Trees - Python Code
Explore advanced decision tree applications for dimensionality reduction and predictor segmentation, with Python code examples for breast cancer detection and sepsis risk analysis.