Perilous Posts - The Risks of Biometric Patterns Exposed in Social Media
Explore the unintended exposure of biometric data in social media posts and its potential for sophisticated cyberattacks, including identity theft, authentication bypass, and deepfake creation.
Machine Learning - Alchemy for the Modern Computer Scientist
Explore how machine learning transforms data into functions, revolutionizing software development. Learn about probabilistic frameworks and differentiable programming languages shaping the future of coding.
Deep Learning in Medicine - An Introduction and Applications to Next-Generation Sequencing and Disease Diagnostics
Exploring deep learning applications in medicine, focusing on genetic variation detection using neural networks and its potential impact on disease diagnostics and genomics.
Applied AI - Real-World Use Cases for Microsoft’s Azure Cognitive Services
Explore real-world applications of Azure Cognitive Services for AI, including image classification, chatbots, and text analysis. Gain insights into machine learning concepts and practical implementation.
Deep Learning for Developers
Explore state-of-the-art deep learning techniques through code demos using Apache MXNet and Keras, covering CNN, GAN, and LSTM architectures for advanced AI applications.
TensorFlow in the Wild - or the Democratization of Machine Learning
Explore TensorFlow's impact on democratizing machine learning, its applications, and how it combines with Google Cloud to make AI accessible to everyone.
Deep Learning - What It Is & What It Can Do For You
Explore deep learning fundamentals, applications, and potential impact. Learn about neural networks, image classification, style transfer, and future trends in AI and machine learning.
Delivering AI on Code - Live Demo of source{d}
Live demo showcasing source{d}'s tools for large-scale code analysis and machine learning on source code, enabling AI-driven insights from git repositories and abstract syntax trees.
The Meaning of Artificial Life
Explore the evolution of AI and data science, from historical origins to modern applications, and gain insights into machine learning, deep learning, and their impact on our understanding of intelligence.
Learning to Fly
Explore the journey of teaching drones to race autonomously, from initial coding to developing a complete system for understanding and navigating complex environments safely.
Using Kubernetes for Machine Learning Frameworks
Explore Kubernetes for machine learning frameworks, covering setup, training, and inference phases. Learn to deploy TensorFlow, Apache MXNet, and PyTorch on Kubernetes clusters for efficient ML model production.
Code + AI - Will Robots Take Our Coding Jobs? ML Applied to Programming
Explore machine learning's impact on coding, from fundamental concepts to practical applications in code analysis and improvement, with insights on current tools and future possibilities.
Scaling Machine Learning with Spark
Learn to build scalable machine learning solutions with Apache Spark. Explore distributed computing, MLflow, feature engineering, and integrating Spark with deep learning frameworks like TensorFlow and PyTorch.
Graph Neural Networks - Algorithm & Applications
Explore graph neural networks, their architecture, and applications in AI. Learn about graph representations, deep learning algorithms, and real-world use cases in document classification and action recognition.
True Artificial Intelligence Will Change Everything
Explore the revolutionary impact of true AI with Jürgen Schmidhuber, pioneer of deep learning. Discover how AI's curiosity and creativity are reshaping technology, science, and daily life.
What Physics Teaches Us About Computation in High Dimensions
Explore the intersection of physics and high-dimensional computation, uncovering insights on phase transitions, algorithms, and deep learning in this thought-provoking lecture by Lenka Zdeborová.
Learning Robust Imaging Models without Paired Data
Explore robust imaging models using Bayesian inference and deep learning without paired data. Learn techniques for image denoising, segmentation, and unpaired degradation modeling in practical applications.
How to Train Your Self-Driving - Dragon Car
Explore open-source autonomous vehicle technology with Donkey Car. Learn to build, test, and deploy AI networks for self-driving cars using Python, Raspberry Pi, and convolutional neural networks.
Advances in the Trinity of AI
Explore the synergy of data, algorithms, and computing infrastructure in AI's evolution, and discover future applications and algorithmic designs shaping next-generation AI technologies.
Improving Unicode Attacks With Deep Learning
Exploración de ataques Unicode mejorados con aprendizaje profundo, creando un diccionario de caracteres confundibles para desarrollar herramientas ofensivas sofisticadas y nuevos procedimientos de prueba de aplicaciones.
Secure and Scalable Anomaly-Based Network Intrusion Detection
Presentation on a secure, scalable framework for anomaly-based network intrusion detection, implemented in Go. Explores feature extraction, data collection, and machine learning applications for detecting network threats.