Unconventional AI
@unconvAI
Unconventional AI is rethinking the foundations of a computer to bring biology-scale efficiency to artificial intelligence.
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Getting to 1000x energy efficiency in AI isn’t about one breakthrough.
It’s about solving two hard constraints:
1. Data movement dominates energy
2. Amdahl’s Law caps system-level gains
Which means you have to rethink everything: models, hardware, and how they’re designed together.
If this kind of problem excites you, you’ll enjoy our latest blog:
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1/10 Reimaging computing using dynamical systems raises a host of fundamental questions, among them: How programmable/steerable is a candidate system? This week, we ran an experiment to test the limits of programmability by asking: is a toy 4-oscillator system expressive enough to dynamically sweep out any arbitrary pattern in phase-difference space? After testing our “[un]” logo, we concluded these systems are highly steerable. Here’s how we did it.
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