
Explore vulnerabilities in deep learning systems and learn techniques to manipulate image recognition, speech recognition, and phishing detection through practical demonstrations and attack methodologies.

Explore AI and ML applications in IT security, covering classification, outlier detection, and user behavior analysis for enhanced protection and threat detection.

Exploring vulnerabilities in autonomous vehicles: sensors, decision profiles, and potential exploits. Insights into connected vehicle programs and their security implications for future transportation systems.

Explores hardware vulnerabilities in deep learning systems, demonstrating how fault injection and side-channel attacks can compromise model accuracy and steal proprietary information, highlighting the need for robust ML-level defenses.

Exploring the potential of deep learning in infosec, challenging misconceptions and highlighting untapped opportunities for practical applications in cybersecurity.

Explore AI-powered API privacy using open-source tools. Learn about Privacy-by-Design, threat modeling, and leveraging deep neural networks to protect customer data in software development.

Explore the evolution of online identity verification, from historical trends to current challenges and future opportunities, including AI and ML applications in authentication and access management.

Explore the future of cybersecurity with Mikko Hypponen, covering topics like data value, governmental attacks, cyber warfare, and emerging technologies like deepfakes and machine learning for defense.

Explore multi-scale entanglement renormalization and neural network renormalization group, connecting deep learning with quantum physics concepts for advanced computational techniques.

Explore deep learning applications in neutrino physics, from classifying interactions to analyzing events, with insights on future developments in particle detection.

Explore connections between deep learning and quantum physics through tensor networks, examining architectures, entanglement measures, and information flow in neural networks.

Explore the impact of deep learning on scientific research, from cryoelectron microscopy to AlphaFold, and discover how AI is revolutionizing various scientific disciplines.

Explore the future of Apache Mesos and DC/OS, covering container orchestration, stateful services, machine learning, and GPU-based scheduling. Gain insights into evolving ecosystem and upcoming developments.

Explore OpenCV's deep learning module, its architecture, and acceleration techniques for optimal performance in computer vision applications.

Innovative system using bimodal embedding to assist programmers in finding and integrating code solutions, bridging the gap between natural language queries and relevant API functions.

Explore DARPA's Explainable AI program, its goals, strategies, and applications in machine learning, autonomy, and deep learning. Gain insights into the future of transparent AI systems.

Explore a novel system for interactive 3D room modeling using mobile devices, combining object recognition and augmented reality for quick, accurate, and effortless indoor space capture.

Explore the complex landscape of tech regulation, privacy concerns, and the societal impact of big tech companies in this thought-provoking panel discussion.

Learn to streamline GPU-enabled ML workflows using Visual Studio Code, Docker, and Dockerhub. Overcome CUDA errors and version conflicts while developing in containers with seamless GPU integration.

Explore scalable deployment of deep learning models in production using Docker, focusing on service interactions and simplifying system design for real-time insights at Salesforce.

Explore generative models in game development, focusing on style transfer, neural doodling, and image translation. Learn how deep learning enhances technical artistry and animation in Unity.