The Boolean satisfiability (SAT) problem is a computationally challenging decision problem central to many industrial applications. For SAT problems in cryptanalysis, circuit design, and ...

This repository includes Jupyter notebooks that accompany the book and reflect its chapter-by-chapter structure. The full content (complete book PDFs + all notebooks + bonus material) is available via ...

FLUX is an educational deep learning framework that reimplements the core functionality of PyTorch and TensorFlow from scratch, using only C++ and the Standard Template Library. No external ...

Abstract: The on-chip implementation of learning algorithms would speed up the training of neural networks in crossbar arrays. The circuit level design and implementation of a back-propagation ...

Abstract: In this paper, a feed-forward artificial neural network with a single hidden layer has been realized using analog circuit blocks designed in 90 nm UMC technology. The network is capable of ...

The article reviews the history development of artificial neural networks (ANNs), then compares the differences between ANNs and brain networks in their constituent unit, network architecture, and ...

The XOR problem involves a logical operation that produces outputs based on different combinations of binary inputs. Outputs generated by XOR logic are not linearly separable in a hyperplane, ...

For decades, researchers have wondered whether algorithms used by artificial neural networks might be implemented by biological networks. Payeur et al. have strengthened the connection between ...

The field artificial intelligence (AI) was founded over 65 years ago. Starting with great hopes and ambitious goals the field progressed through various stages of popularity and has recently undergone ...

Almost all of us have either had it, or can look forward to getting it in our lifetime. In fact, somewhere between about a tenth to a third of us have back pain right now. So is back pain just ...