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Master heap memory and CPU profiling on embedded Linux using Heaptrack and Hotspot tools for optimized performance analysis and debugging workflows.
Explore swarm robotics fundamentals from biological cooperation to leaderless robot collaboration and defense applications in this Six Robotics perspective.
Master practical strategies for AI-assisted coding with 10 developer-tested tips covering prompting, context engineering, debugging, and integrating tools like Cursor and Claude Code.
Discover how a small head detection model became the backbone of intelligent video conferencing, enabling speaker tracking, automatic framing, and camera control in real-time edge environments.
Discover how AI coding assistants can be weaponized against developers through prompt-jacking attacks, exposing vulnerabilities in tools like Cursor and revealing defense strategies.
Discover AI fundamentals, practical applications, and security best practices including defending against prompt injection, data leakage, and model bias for responsible development.
Explore the paradox of meeting artificial intelligence with human intelligence turned off and examine the costs of participating in the AI hype cycle.
Explore how machine learning models can deceive us and learn techniques to accurately assess LLM performance in an era of increasingly complex "black box" algorithms.
Explore embedding and vector-based searches in Azure AI Search through demos covering text, images, and music analysis for creating AI-augmented audio experiences and seamless track mixing.
Discover AI security vulnerabilities through hands-on demonstrations of prompt injection, agent manipulation, and data theft attacks, plus practical defense strategies.
Discover how to secure AI-generated React code through prompt engineering techniques that prevent XSS, unsafe state management, and broken authentication flows.
Explore the latest AI interpretability research to understand how LLMs process information, distinguish explainability from interpretability, and apply practical techniques for debugging models.
Dive into GPT architecture and ChatGPT internals, from NLP fundamentals to training models, prompt engineering, and RAG patterns for building AI-powered applications.
Explore AI's cyclical history through three "summers" of hype, from Dartmouth to deep learning, uncovering patterns and lasting technologies that shaped industries.
Explore how seemingly minor UI design flaws can trigger historic disasters and business failures, uncovering the deeper systemic issues behind interface problems.
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