AI Agent Frontiers: Innovation and Practical Applications
Overview
Where the world’s leading researchers and builders reveal how multi-agent intelligence is rewriting science, engineering, and company-building.
AI is evolving from single, monolithic models into coordinated, self-improving multi-agent systems and this summit brings together the pioneers who are making that leap real. From AG2 to autonomous scientific research, verifiable agent infrastructure to agent-powered engineering workflows, you'll learn how today’s breakthroughs are building tomorrow’s autonomous organizations.
Whether you're an engineer, researcher, founder, or systems thinker, this event delivers the strategic vision and the technical depth you need to stay ahead of the curve.
What You’ll Experience
An unmatched lineup of globally recognized leaders will walk you through the architectures, frameworks, and real-world deployments that define the frontier of agentic AI:
- Multi-Agent Architectures & Orchestration (AG2) - Chi Wang and Qingyun Wu, creators of AutoGen/AG2, unpack the state of multi-agent intelligence, emergent behaviors, orchestration frameworks, and the foundations of large-scale agent ecosystems.
- AI-Accelerated Scientific Discovery - MIT’s Markus Buehler and Cambridge’s Boris Bolliet explore how graph-aware AI, autonomous research agents, and cross-domain agent systems are transforming materials science, physics, cosmology, and scientific reasoning itself.
- Engineering, Simulation, & Real-World Automation - Aaron Wu showcases agent-driven engineering simulation pipelines that compress weeks into minutes, while Salma Mayorquin reveals ExperimentOps and agentic infrastructure turning brittle experimentation into repeatable, production-grade processes.
- Building AI-Native Companies with Agents - Justin Trugman and Justin Zhang break down how multi-agent systems accelerate venture analysis, automate operational intelligence, and create self-scaling organizations through verifiable, real-time agent networks.
Who This Summit Is For
- AI researchers & ML engineers exploring multi-agent frameworks
- Founders & product leaders building AI-native companies
- Scientists & engineers adopting autonomous research and simulation
- Technical decision-makers shaping the next wave of intelligent systems
If you’re building, deploying, or strategizing around AI in 2025 and beyond, this is where you discover what’s next.
Why You Can’t Miss It
This summit blends high-level vision with technical truth. You'll learn from the creators of today’s most influential agent frameworks and the innovators deploying them at scale.
Walk away with the insights, architectures, and mental models that will define the next decade of AI.
Speakers
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Highlights
- 5 hours
- Online
Refund Policy
Location
Online event
The State of Multi-agents
Superintelligence for scientific discovery
AI is rapidly transitioning from a passive analytical assistant to an active, self-improving partner in scientific discovery. In the material world, this shift means developing systems that not only recognize patterns but also reason, hypothesize, and autonomously explore new ideas for design, discovery and manufacturing. This talk presents emerging approaches toward 'superintelligent' discovery engines -integrating reinforcement learning, graph-based reasoning, and physics-informed neural architectures with generative models capable of cross-domain synthesis. We explore multi-agent swarm systems inspired by collective intelligence in nature, enabling continuous self-evolution as they solve problems. Case studies from materials science, engineering and biology illustrate how these systems can uncover hidden structure-property relationships, design novel materials, and accelerate innovations in biology and beyond.
Accelerating New Venture Analysis with Multi-Agent Systems
At BetterFutureLabs, we use multi-agent systems built on AG2 to evaluate and validate new venture ideas at scale. What once took analysts more than a week now takes under thirty minutes. This session will share the principles behind how we architected our agent teams, the results we’ve achieved, and key lessons from applying AG2 to real-world venture creation.
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