At the frontier of scalable AI systems stands Dr. Azalia Mirhoseini, whose revolutionary work is reshaping how we approach artificial general intelligence. As an Assistant Professor at Stanford University and founder of the Scaling Intelligence Lab, she's pioneering self-improving AI architectures that are pushing the boundaries of what's possible in machine learning and systems.

👉 Explore the future of scalable AI systems at #AISC2025: https://www.aisc.events/

Her breakthrough innovations in Mixture-of-Experts architectures have become fundamental building blocks of today's most advanced AI models. From developing novel reinforcement learning approaches for chip design to architecting self-improving AI systems, her work at Stanford and Google DeepMind is driving us toward more intelligent and efficient computing paradigms. These contributions aren't just theoretical - they're being applied to design the next generation of AI accelerators and embedded chips.

Join us at AISC 2025 to hear Dr. Mirhoseini's insights into the future of scalable AI systems. Learn from a pioneer who's not just theorizing about artificial general intelligence - she's building the architectural foundations that will make it possible.