Google DeepMind released AlphaGenome on January 28, an AI model that predicts how DNA sequences translate into biological functions, processing up to one million base-pairs at once and outperforming ...
Abstract: The upper layer can be exploited in Device-To-Device (D2D) coded caching storage systems to decode encoded data. In this study, we propose a decoding algorithm for Luby Transform (LT) codes ...
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 ...
Abstract: Speech enhancement (SE) models based on deep neural networks (DNNs) have shown excellent denoising performance. However, mainstream SE models often have high structural complexity and large ...
Abstract: This study investigates the performance of discrete-time systems under quantized iterative learning control. An encoding–decoding mechanism is combined with a spherical polar ...
Abstract: This study investigates the utilization of a dynamic encoding-decoding mechanism for transferred signals to explore adaptive quantized iterative learning ...
A compact data format optimized for transmitting structured information to Large Language Models (LLMs) with 30-60% fewer tokens than JSON. TOON (Token-Oriented Object Notation) combines YAML's ...
Summary: A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain’s language system. Instead, it ...
Store any user state in query parameters; imagine JSON in a browser URL, while keeping types and structure of data, e.g.numbers will be decoded as numbers not strings. With TS validation. Shared state ...
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