[un] blog
Blog
A technical exploration of machine learning with dynamics using gyroscopes, springs, coupled nonlinear ODEs, and differentiable physical systems for sequence classification.
May 21, 2026
Announcement
Why scaling alone will not solve AI efficiency and how the Unconventional Grant is supporting new computational paradigms across hardware, systems, neural architectures, and theory.
May 14, 2026
Blog
Why memory, not compute, is the real bottleneck in AI energy efficiency. A deep dive into data movement, Amdahl’s Law, and the path to 1000x inference efficiency.
May 7, 2026
Blog
As AI systems hit energy efficiency limits, this post explores the tradeoffs between analog and digital computing and why future AI may require a mixed-signal approach.
April 30, 2026
Blog
Sara Achour, Carlos H. Morales, Peter McMahon, Srenik Mehta, Sriram Krishnamoorthy, Michael Carbin, MeeLan Lee, Naveen Rao
For 60 years, hardware and software have been siloed. Discover how Unconventional AI is breaking these barriers through "neural co-evolution"—co-designing neural networks and physical systems to unlock 1000x efficiency.
April 2, 2026
Announcement
Introducing Unconventional AI. We are building a new physical substrate for intelligence to achieve biology-scale energy efficiency and solve the AI energy bottleneck.
December 8, 2025