[un] blog
Culture
Most companies use AI tools, but we are not a 'conventional company.' Our [un]CFO shares how he used AI across finance, research, recruiting, and legal to help build a new kind of company.
June 18, 2026
Research
Exploring digital twins, chaos theory, numerical simulation, and system modeling as the foundation for neural co-evolution at Unconventional AI.
June 11, 2026
Research
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
Research
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
Research
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
Research
Carlos H. Morales, Peter McMahon, Srenik Mehta, Sriram Krishnamoorthy, Sara Achour, 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