Max Welling connects the dots between quantum gravity, equivariant neural networks, and diffusion models, explaining how these concepts from theoretical physics are now powering a new generation of AI for materials discovery to tackle climate change. He introduces the concept of a "Physics Processing Unit" and details the architecture of his startup, CuspAI.
This talk explores the challenges of using multi-agent systems for mass personalization, highlighting the inconsistencies and inaccuracies that arise from traditional methods like RAG and function calling. The speaker introduces Cortex UCM, a unified customer memory system that proactively infers and standardizes customer insights. This shared, structured memory layer enables agents to achieve a deep, consistent understanding of customers, leading to high-quality, scalable generative personalization for emails, websites, and product pages.
Marko Klemetti and Kris Jenkins explore how Generative AI is not just another tool but the next major paradigm shift in software development, forcing a radical reinvention of team structures, management roles, and the entire SDLC to achieve a 'five-minute-to-production' North Star.
A deep dive into the 2026 IBM X-Force Threat Intelligence Index, exploring the shift to exploiting public-facing applications, the rise of AI agent-related threats, critical AI infrastructure flaws, and the need for a more human-centric approach to threat intelligence.
Peter Steinberger, creator of OpenClaw, discusses his journey into open source, the unexpected success of his AI agent, and how his development workflow has been fundamentally transformed by using agentic AI tools like Codex.
Princeton Professor Tom Griffiths discusses his book "The Laws of Thought," exploring the mathematical models that govern both biological and artificial intelligence. He details the fundamental differences between human and machine cognition, rooted in their vastly different constraints, and explains how concepts like inductive bias, probability, and curiosity can bridge the gap between cognitive science and modern AI.