Abstract: This tutorial reviews a series of reinforcement learning (RL) methods implemented in a reproducing kernel Hilbert space (RKHS) developed to address the challenges imposed on decoder design.

Abstract: Deep-learning-based watermarking technique is being extensively studied. Most existing approaches adopt a similar encoder-driven scheme which we name END (Encoder-NoiseLayer-Decoder) ...

Choosing the right-sized tire for your car can be as simple as checking the tires already installed (or using our tire selector). You’ll also find the recommended tire size, as well as the speed and ...

Curious how the Caesar Cipher works? This Python tutorial breaks it down in a simple, beginner-friendly way. Learn how to encode and decode messages using one of the oldest and most famous encryption ...

An improvement to an existing AI-based brain decoder can translate a person's thoughts into text without hours of training. When you purchase through links on our site, we may earn an affiliate ...

A new AI-based tool can translate a person's thoughts into continuous text, without requiring the person to comprehend spoken words. This latest advance suggests it may be possible, with further ...

Satellite TV broadcaster Openview’s new decoder offers a much more compact design than its predecessors, but its on-demand streaming content is currently lacking. After years of teasing that a new ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

In the significantly advancing fields of neuroscience and Artificial Intelligence (AI), the goal of comprehending and modeling human cognition has resulted in the creation of sophisticated models that ...