Machine Learning for Autonomous Vehicles
Explore machine learning applications in autonomous vehicles, covering data requirements, security, language choices, and model deployment considerations with industry experts Oscar Beijbom and Prayson Daniel.
Leveraging the Power of C++ for Efficient Machine Learning on Embedded Devices
Explore practical applications of C++ and TensorFlow Lite for efficient machine learning on embedded devices, including image classification and hand gesture recognition on Raspberry Pi.
Image Processing with Halide
Explore Halide for high-speed image processing in 3D machine vision, including the transition from OpenCL, benefits, and challenges faced in real-world applications.
Calpric - Inclusive and Fine-grain Labeling of Privacy Policies with Crowdsourcing and Active Learning
Innovative approach combining crowdsourcing and active learning for efficient, cost-effective labeling of privacy policies, resulting in more accurate and comprehensive deep learning models with balanced datasets.
The Modern Trolley Problem - Responsible AI Principles
Explore ethical challenges in AI-driven vehicles, from object recognition to decision-making algorithms. Delve into responsible AI principles and the importance of intentional, transparent coding in autonomous systems.
Shrink The Web - How To Get Happier By Removing Crap
Explore strategies to optimize web performance, reduce complexity, and improve user experience through image optimization, JavaScript concatenation, and efficient process tools.
Applied AI and Accessibility to Play Games in New Ways
Explore AI-powered accessibility in gaming: voice, gestures, and facial expressions as controllers. Learn scaling .NET apps across platforms, real-time communication, and computer vision for inclusive gaming experiences.
Trends, Challenges and Best Practices for AI at the Edge
Explore trends, challenges, and optimization techniques for AI inference at the edge, focusing on machine vision applications and addressing limitations of edge devices for real-time processing.
Mining Sensitive Information From Images Using Command-Line OCR
Learn techniques for extracting sensitive data from images using command-line optical character recognition (OCR) tools in this informative security talk.
Machine Learning and Cyber Security - How Smart Can it Be
Explore machine learning's impact on cybersecurity, its types, methods, and applications. Gain insights into real-world networks and potential risks associated with AI-driven security solutions.
Hybrid Image-Based Approaches for Modern Malware Classification
Explore innovative hybrid image-based techniques for classifying modern malware, enhancing cybersecurity through advanced visual analysis and machine learning approaches.
How JSI Powers the Most Advanced Camera Library - VisionCamera Frame Processing
Explore how JSI and Reanimated Worklets enable powerful camera frame processing in React Native, revolutionizing features like object detection and facial recognition in mobile apps.
AI Is the New Normal
Explore AI applications in the cloud, including object detection, face recognition, translation, and speech. Learn to build Cognitive Search apps for deep content understanding in images and text.
Real Life Customer Stories with AI
Explore real-world AI applications through customer stories, focusing on Machine Learning, Computer Vision, and Cognitive Services solutions developed for specific business scenarios.
Develop Intelligent Apps for the Modern Workplace
Explore building intelligent workplace apps using business data, adaptive cards, and serverless computing. Learn to implement image recognition and OCR for enhanced user experiences in line-of-business solutions.
The Fake News Arms Race - How AI Can Create, and Detect, Fakes
Explore the AI-driven battle against fake news, from deep-fake creation to detection technologies. Learn how machine vision and NLP combat misinformation at scale.
Common Pitfalls in Computer Vision Project
Uncover and overcome common mistakes in transfer learning for computer vision, with insights into CNN behavior and practical solutions for more effective implementations.
Data Science in Action
Explore real-world applications of data science, from label data to unsupervised machine learning, with practical examples in wind energy, object detection, and automotive industries.
Training a Machine to See What's Beautiful - Especially for Hotel Photos
Explore machine learning techniques for aesthetic evaluation of hotel photos, enhancing visual appeal and improving customer engagement in the hospitality industry.
Getting Personal - Deep Learning Methods for Large Scale Personalization
Explore deep learning methods for large-scale personalization, covering sequence modeling, computer vision, and practical applications in this insightful talk by Noa Barbiro.
Kandinsky Patterns for Visual Concept Learning
Explore visual concept learning through Kandinsky patterns, focusing on medical image interpretation, symmetry, heatmaps, and decision trees for enhanced pattern recognition and analysis.