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Universal Optimal Control, Reinforcement Learning, and Reaching Goals in LLMs
Explore universal optimal control theory and how reinforcement learning techniques can be applied to help Large Language Models achieve specific goals with Yann Ollivier from Meta's FAIR.
How Nubank Uses Foundation Models for Financial Data
Discover how Nubank trains foundation models on billions of transactions to develop rich customer representations, revealing how scaling laws improve financial applications while maintaining privacy standards.
AI Against AI: Empowering Human Creativity in the Age of Misinformation
Discover how the News Polygraph project uses AI tools to combat disinformation through fact-checking, deepfake detection, and content verification while maintaining human oversight in journalism.
From Batch to Personalized: Attentive's Journey with Ray and Anyscale
Discover how Attentive transformed digital marketing with AI-powered personalization using Ray and Anyscale, including optimization strategies for large-scale recommendation systems and practical solutions for ML infrastructure challenges.
Joy Isn't Fluff: How Gratitude, Fun, and Laughter Can Actually Save Your School and Your Sanity
Discover the neuroscience of joy, gratitude, and play as strategic leadership tools for educators. Learn practical culture-shifting strategies and AI-powered time-savers to combat burnout and reclaim energy in schools.
Advancing Human-Machine Interface Systems Through AI
Explore how AI can decode neural intent from non-invasive muscle signals to enhance human-machine interaction, with applications in prosthetics, rehabilitation, and assistive technologies.
Spatio-Temporal AI Modeling for Urban Traffic Calibration - A SUMO-Based Approach
Discover how AI and spatio-temporal learning techniques can optimize urban traffic flow through digital twin simulations, using Dynamic Spatio-Temporal Graph Attention Networks to predict and calibrate traffic patterns in real-time.
AI in Retail - Advancing Promo Demand Forecasting
Discover how AI-driven demand forecasting reduces errors by 2.5x in retail, optimizing promotions, inventory distribution, and supply chain scheduling for enhanced operational efficiency and profitability.
Arm Edge AI Strategy
Discover how Arm is responding to changes in the IoT landscape in this keynote by John Thompson.
RAG and Self-Evolving Agent ALITA with MCP Toolbox
Explore ALITA, a self-evolving AI agent that uses RAG-MCP for unscripted evolution, enabling scalable agentic reasoning with minimal predefinition and maximum adaptability.
Build an AI Agent from Scratch in Raw Python - AI Agent Hands-on
Build an AI agent from scratch using raw Python and GPT-4o as its "brain." Learn the ReAct framework through hands-on implementation of chatbots, agent logic, tools, and prompts.
Can You Run a YouTube Channel with 7 MCP Servers and Claude Code?
Discover how to leverage 7 MCP servers and Claude Code to efficiently manage and grow a YouTube channel, exploring automation possibilities and technical setup.