The advent of AI tools has accelerated the production of code, sometimes as much as four times the volume. With the boost in ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

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 ...

Summary: A new study reveals that the brain’s basal ganglia use two distinct neural “languages” to control movement — one for learned skills and another for innate behaviors. Studying rats, ...

This is the PyTorch implementation of Legend-KINN, proposed by our paper "Legend-KINN: A Legendre Polynomial-Based Kolmogorov-Arnold-Informed Neural Network for Efficient PDE Solving", published in ...

With increasing model complexity, models are typically re-used and evolved rather than starting from scratch. There is also a growing challenge in ensuring that these models can seamlessly work across ...

Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, Block AF, Sector-I, Bidhannagar, Kolkata 700064, India ...

Abstract: Polarization-adjusted convolutional (PAC) codes are an advanced variant of polar codes, capable of approaching the dispersion bound in certain cases. However, to achieve the near-bound ...

Researchers from the Institute of Electronic Structure and Laser, Foundation for Research and Technology Hellas, and the University of Crete have created a new optical system that employs holograms to ...