predictive coding
predictive coding at Beyond Market Intelligence is a file of 2 stories. The newest of them: “Explore AI Learning Without Backpropagation Through Physics-Inspired Methods” and “How evaluation resolution reshapes our view of brain-like learning rules”. A physicist and mathematician who builds neural networks from scratch wants to know if backpropagation, the dominant training method, can be meaningfully replaced by local learning rules like predictive coding and… A common claim in model-brain comparisons is that untrained CNNs can match backprop-trained ones at V1. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every predictive coding story on Beyond Market Intelligence, newest first.
Explore AI Learning Without Backpropagation Through Physics-Inspired Methods
A physicist and mathematician who builds neural networks from scratch wants to know if backpropagation, the dominant training method, can be meaningfully replaced by local learning rules like predictive coding and Hebbian learning. These alternatives update weights using locally available information rather than global error gradients. That's a compelling challenge to the status quo. His questions about unsupervised learning, continual adaptation, and biological plausibility cut to the heart of where AI might evolve next, especially for complex systems like molecular dynamics.
How evaluation resolution reshapes our view of brain-like learning rules
A common claim in model-brain comparisons is that untrained CNNs can match backprop-trained ones at V1. This new preprint shows that conclusion is largely an artifact of evaluation resolution. The gap between untrained and trained models widens monotonically as resolution increases, from near zero at 32 pixels to a clear edge at 224. That's a sharp, testable correction to a widely repeated result. For a hands-on look at training dynamics, OpenTrainDNN offers a useful complement to this kind of analysis.