Bryan Cantrill on Optimizing Infrastructure for AI Workloads.
AI in Depth: Transforming Transportation, Enterprise, and Policy
Evangelos Simoudis on the AI-Driven Future: Insights into Mobility, Enterprise, and Innovation.
Software Meets Hardware: Enabling AMD for Large Language Models
Sharon Zhou and Greg Diamos on Lamini’s pioneering work with AMD in Generative AI.
Incentives are Superpowers: Mastering Motivation in the AI Era
Decoding the Dynamics and Intricacies of Incentives with Uri Gneezy.
Synthetic Futures: The Convergence of Biology and AI
Dmitriy Ryaboy on Deep Learning’s Quest to Decode Biology’s Mysteries.
AI Co-Pilots in Action: Transforming Function Calling in Cybersecurity
Jian Zhang explores advanced AI Function Calling techniques for enhanced Cybersecurity and beyond.
Leveling Up: Tools and Techniques to Make AI Development More Accessible
Sarmad Qadri on developer tools for building generative AI applications.
LLMs on CPUs, Period
Nir Shavit on tools for sparsifying and quantizing LLMs for efficient CPU inference.
Democratizing Wealth Management With AI
Chirag Yagnik on making tools commonly used by institutional investors and high net worth individuals more accessible to individual investors.
Knowledge Graphs: Contextualizing Enterprise Data for More Accurate LLMs
Juan Sequeda and Dean Allemang on boosting LLMs with Knowledge Graphs for Enterprise Q&A.