GitHub

On-device training of a feedforward neural network directly on the Seeed XIAO ESP32-S3 microcontroller

XIAO ESP32-S3 — On-Device TinyML Vibration Classifier A PlatformIO/Arduino project that performs on-device training of a feedforward neural network directly on the Seeed XIAO ESP32-S3 microcontroller, ...
Scientific American

Human neurons on a chip learned to play Doom

The Australian biotech company Cortical Labs recently posted a video in which 200,000 living human neurons grown on a silicon chip played the 1993 first-person shooter Doom. The neuron-controlled main ...
GitHub

What are neural networks?

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...
Frontiers

Deriving equivalent symbol-based decision models from feedforward neural networks

Artificial intelligence (AI) has emerged as a transformative force across industries, driven by advances in deep learning and natural language processing, and fueled by large-scale data and computing ...
IEEE

Feedforward Control for an Interventional X-Ray: A Parallel Physical Model and Neural Network Approach

Abstract: Hard-to-model, often nonlinear dynamics limit the tracking performance of physical-model-based feedforward control in medical interventional X-ray (IX) systems. In this article, these ...
Scientific Research Publishing

Hornik, K., Stinchcombe, M. and White, H. (1989) Multilayer Feedforward Networks Are Universal Approximators. Neural Networks, 2, 359-366.

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
Scientific Research Publishing

Leshno, M., Lin, V.Y., Pinkus, A. and Schocken, S. (1993) Multilayer Feedforward Networks with a Nonpolynomial Activation Function Can Approximate Any Function. Neural Networks ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...