Kurse
18817 Kurse
Opportunistic Screening for Pancreatic Cancer - Multimodal AI Fusion of CT Imaging and Radiology Reports
Discover how multimodal AI combines CT imaging and radiology reports to enable early pancreatic cancer detection through opportunistic screening and improved risk stratification.
Harnessing AI Test Case Generation
Explore how AI transforms software testing through automated test case generation, real-world examples, and integration strategies for modern test automation workflows.
Build Agentic Ecommerce with KumoRFM
Explore building advanced AI agents for ecommerce using KumoRFM to create conversational data science experiences with high-quality predictions and analytics.
Spontaneous Kolmogorov-Arnold Geometry in Vanilla Fully-Connected Neural Networks
Explore how Kolmogorov-Arnold geometry spontaneously emerges in standard neural networks through training, revealing distinctive geometric patterns in shallow MLPs.
On Minds - Reflections of a Cognitive Architect
Explore decades of cognitive architecture research through reflections on minds, intelligence, and the technologies underlying artificial and natural cognitive systems.
From Smart to Brilliant - Advanced AI Architectures
Explore advanced AI architectures with multi-modal interactions, edge personalization, and federated learning for consumer electronics on AWS.
The Bitter Lesson Machine - AI Video Automation
Discover how to build an AI video automation machine that applies the "bitter lesson" principle to streamline content creation workflows.
Self-Supervised Learning, JEPA, World Models, and the Future of AI
Discover cutting-edge AI concepts including self-supervised learning, JEPA architecture, and world models from renowned expert Yann LeCun in this Harvard lecture.
FrontierMath to Infinity - Mathematical Problem Solving Benchmark and AI Trajectory
Explore FrontierMath benchmark design and AI's mathematical problem-solving trajectory, plus speculation on perfectly efficient mathematical intelligence capabilities.
Ricci Flow as a Test for AI
Explore how Ricci flow from differential geometry can serve as a challenging benchmark for testing artificial intelligence capabilities in advanced mathematics.
Math for AI and AI for Math - Geometric and Symbolic Perspectives
Explore the geometric foundations of machine learning and discover how AI can advance pure mathematics through abstraction, decomposition, and formalization insights.
When the Model Takes Control - The Hidden Risks of AI Autonomy Through MCP - 12
Explore the hidden dangers of AI autonomy through Model Context Protocol, revealing how LLMs can chain tools independently and create new security vulnerabilities in modern systems.