We want to identify how and where the next “big breakthrough” will occur in AI. We use three tools or approaches to identify where this next big breakthrough will occur: The Quick Overview Get the quick overview with this YouTube #short: The Full YouTube Maren, Alianna J. 2023. “A New Neural Network Class: Creating the… Continue reading New Neural Network Class: Framework: The Future of AI (Part 2 of 3)
Category: NN – Deep Learning
Kuhnian Normal and Breakthrough Moments: The Future of AI (Part 1 of 3)
Over the past fifty years, there have only been a few Kuhnian “paradigm shift” moments in neural networks. We’re ready for something new!
The Kullback-Leibler Divergence, Free Energy, and All Things Variational – Part 2 of 3
Free energy is the universal solvent of AI (artificial intelligence). It is the single underlying rule or principle that makes AI possible. Actually, that’s a simplification. There are THREE key things that underlie AI – whether we’re talking deep learning or variational methods. These are: Free energy – which we’ll discuss in this post, Latent… Continue reading The Kullback-Leibler Divergence, Free Energy, and All Things Variational – Part 2 of 3