--> Game Emulation via Neural Network 05 September 2022 I made a playable Pokémon overworld. It looks (mostly) like a normal video game, and you can try it in your web browser here : Although this looks like a video game, I did not write any game code. This program is actually a neural network mimicking a video game. Program? Game? Neural network? Programs: sequences of instructions that transform input→output A human could run through these instructions to transform input into output: Instructions Take

The paper introduces the main principles of spatio-temporal associative memory (STAM) inspired by learning principles in the human brain and implemented on a brain -inspired spiking neural network (SNN) architecture. A STAM-SNN is a machine learning model that is

# Neural Samplers and Hierarchical Variational Inference This post sets background for the upcoming post on my work on more efficient use of neural samplers for Variational Inference. ## Variational Inference At the core of Bayesian Inference lies the well-known Bayes' theorem, relating our prior beliefs $p(z)$ with those obtained after observing some data $x$: $$ p(z|x) = \frac{p(x|z) p(z)}{p(x)} = \frac{p(x|z) p(z)}{\int p(x, z) dz} $$ However, in most practical cases the denominator $p(x)$ requires

Apple Silicon has a dedicated Neural Engine that most LLM tools ignore. Here's what it can do for inference, what it can't, and whether ANE-based tools like ANEMLL are worth trying today

Wherein a Solution Is Represented by a Neural Network Over Coordinates, the PDE Residual Is Penalized via Automatic Differentiation, and Latent Stochasticity Is Handled by Polynomial Chaos Expansions

Neuromorphic spiking neural networks (SNNs) offer energy-efficient temporal computation suited to edge medical devices, but deployment in safety-critical settings is blocked by a toolchain gap: existing SNN compilers, including snn-mlir, generate valid C11 code but emit no machine-checkable ev

Recurrent neural networks trained to navigate and infer latent states exhibit strikingly similar remapping patterns to those observed in navigational brain areas, inspiring new analyses of published data and suggesting a possible function for spontaneous remapping to support context-dependent navigation

In this post we will explore Generative Adversarial Networks (GANs) to create fake husky images. The goal is, of course, to have “Husky AI

Let's start out by explaining the motivation for zero padding and then we get into the details about what zero padding actually is. We then talk about the types of issues we may run into if we don't use zero padding, and then we see how we can implement zero padding in code using Keras.

Abstract page for arXiv paper 2105.02761: Neural Algorithmic Reasoning