Machine Learning Fundamentals - Lecture 22
Dive into advanced data science concepts through comprehensive coverage of machine learning principles, algorithms, and practical applications in this graduate-level lecture from University of Utah.
Modernizing Finite State Machines in C++ Using std::variant
Discover how to revolutionize Finite State Machine implementation using std::variant in modern C++, achieving better type safety, improved performance, and cleaner code without heap allocation.
Challenges of Federated and Zero-Cost Neural Architecture Search
Explore advanced neural architecture search techniques, focusing on federated settings and zero-cost searching algorithms through weight sharing and efficient subnet discovery methods.
Humans and AI: Understanding LLM Impact on Human Decision Making
Explore the synergistic potential between humans and LLMs in decision-making tasks, examining active learning, ML fairness, and collaborative approaches to AI implementation.
What I Learned from Sockets: Applying Socket Concepts to C++ Concurrency - Lecture
Explore socket concepts like select and poll for composing concurrent operations in C++. Learn to apply Unix primitives and Go-like semantics to solve concurrency problems efficiently.
Rewiring Your Brain with Test Driven Thinking in C++ - Meeting C++ 2023
Discover how test-driven thinking in C++ can enhance productivity, improve focus, and make coding more enjoyable while solving complex problems.
Prog C++ - Closing Keynote Meeting C++ 2023
Explore psychedelic C++ coding techniques, blending generic, functional, and value-based OOP practices for innovative software composition.
Ресурсний центр для грід- та хмарних технологій
Дізнайтеся про сучасні грід- та хмарні технології, їх застосування в науковій роботі та особливості функціонування ресурсного центру обміну даними в ІТФ НАН України.
Elevate Your Teaching Productivity with GenAI
Discover innovative strategies to enhance teaching efficiency using generative AI tools, empowering educators to streamline tasks and focus on impactful instruction.
LLM Alignment - Techniques for Building Human-Aligned AI
Explore advanced techniques for aligning AI with human values, including RLHF, IFT, and DPO. Learn about the evolution of LLMs and discuss ethical implications in AI development.
The Geometry of Decision-Making
Explore the fascinating geometry of decision-making in animal behavior with Prof. Iain Couzin's insightful lecture on collective intelligence and movement.
Population Dynamics and Black Spots on the Sun - Rothschild Lecture
Explore population dynamics theory, analyzing KPP equations and moment equations to understand irregularities in real populations and magnetic fields of stars.
The Mathematical Universe Behind Deep Neural Networks - Rothschild Lecture
Explore the mathematical foundations of deep neural networks, covering functional analysis, harmonic analysis, complex analysis, approximation theory, and more with Professor Helmut Bölcskei.
Elliptic Curves Associated to Two-Loop Graphs and Feynman Diagrams - Rothschild Lecture
Explore elliptic curves in two-loop Feynman diagrams, examining their emergence in cubic hypersurfaces and potential connections to elliptic dilogarithms in quantum field theory amplitudes.
Extraordinary Waves and Math: From Beaches to Photonics - Rothschild Lecture
Explore extraordinary waves, from historical solitary waves to modern solitons, and their applications in water, rogue waves, photonics, and cellular automata.
ML Scalability Challenges in Machine Learning - MLOps Coffee Session
Explore ML scalability challenges with Anyscale's Head of Engineering. Gain insights on large-scale computing, attention-based models, and the balance between big and small data in machine learning.
Multilingual Programming and Project Structure for Collaboration
Explore multilingual programming and project structures for effective collaboration. Learn to choose the right language for each problem and implement best practices in data science and MLOps.
Airflow's Limitations for MLOps - Challenges and Alternatives
Explore challenges in MLOps, data platforms, and Airflow with Stephen Bailey. Gain insights on modular job design, data classification, and practical approaches to data engineering and machine learning workflows.
Vertex AI Workshop - Training, Serving, and Pipelines
Explore hands-on Vertex AI for ML model training, serving, and pipeline creation. Learn to leverage Google Cloud's powerful tools for efficient machine learning workflows and deployments.
MLOps in Practice: Common Challenges and Lessons Learned - Meetup 114
Explore common MLOps challenges and lessons learned from industry experts. Gain insights on best practices, tool selection, and integrating MLOps into systems with varying maturity levels.
Creative AI - Using ML to Create Art, Music, and Jokes - Lecture 113
Explore AI's creative potential in art, music, and humor through open-source ML models. Gain insights into strengths, limitations, and societal impacts, with live demos and code walkthroughs of innovative projects.