Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...

Abstract: In Deep Image Prior (DIP), a Convolutional Neural Network (CNN) is fitted to map a latent space to a degraded (e.g. noisy) image but in the process learns to reconstruct the clean image.

The recommended CCSDS 131.2-B-1 standard introduces a Serial Concatenated Convolutional Code (SCCC). Main goal of this code is to allow an efficient u ...

Despite a century of research, memory encoding in the brain has remained mysterious. Neuronal synaptic connection strengths are involved, but synaptic components are short-lived while memories last ...

Recent advances in machine learning have shown that deep neural networks (DNNs) can provide powerful and flexible models of neural sensory processing. In the auditory system, standard linear-nonlinear ...

Many people base huge swaths of their lives on foundational philosophical texts, yet few have read them in their entirety.

Abstract: In non-cooperative communications, receivers lack prior channel coding knowledge, making error correction code recognition critical. Recursive systematic ...

Use MSX Encoding: Open File with MSX Encoding from the Command Palette or the explorer context menu. The file is opened via a virtual filesystem (msxenc://) that transparently decodes MSX bytes to ...

"The most secure channel between two devices is the one that never touches a wire. Light travels from screen to camera. No packets. No protocols. No trust required. Just photons and geometry." ...