A protein 'tape recorder' enables scientists to measure and decode cellular processes at scale and over time

Unraveling the mysteries of how biological organisms function begins with understanding the molecular interactions within and ...
IEEE

LT Code Design for Device-to-Device Coded Caching Storage Systems using Shoulders of GiAnds

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 ...

Decoded rules of microRNA strand selection reveal conserved, programmable features

MicroRNAs, whose discovery was recognized with the 2025 Nobel Prize in Physiology or Medicine, are central regulators of gene ...
Hosted on MSN

Understanding Caesar cipher in Python — encode and decode text easily

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 ...
IEEE

Encoder-Decoder Contrast for Unsupervised Anomaly Detection in Medical Images

Abstract: Unsupervised anomaly detection (UAD) aims to recognize anomalous images based on the training set that contains only normal images. In medical image analysis, UAD benefits from leveraging ...
IEEE

Adaptive Encoder-Decoder Model Considering Spatio-Temporal Features for Short-Term Power Prediction of Distributed Photovoltaic Station

Abstract: Considering the impact of operation and maintenance costs and technology, there is generally a lack of sufficient meteorological observation devices within the distributed photovoltaic (PV) ...
The Verge

Stack Overflow users don’t trust AI. They’re using it anyway

is editor-in-chief of The Verge, host of the Decoder podcast, and co-host of The Vergecast. Today, I’m talking with Prashanth Chandrasekar, who is the CEO of Stack Overflow. I last had Prashanth on ...
IEEE

Improved Encoder-Decoder Architecture With Human-Like Perception Attention for Monaural Speech Enhancement

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 ...