AI deciphers long-range DNA signals behind RNA splicing

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Scientists find molecular-level evidence for two structures in liquid water

A study published in Nature Physics provides new molecular-level evidence from simulations that liquid water is not a single uniform substance, but a constantly shifting mixture of two distinct ...
IEEE

Encoder-Decoder Based Deep Reinforcement Learning for Multi-AUV Assisted Data Collection in UWSNs

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...
EurekAlert!

DeepAFM: A deep learning method to decode protein motion

DeepAFM is a deep learning-based method that analyzes high-speed atomic force microscopy images of proteins. It removes noise and identifies protein shapes, enabling accurate detection of transitions ...
The New York Times

Researchers Are Using A.I. to Decode the Human Genome

AlphaGenome is a leap forward in the ability to study the human blueprint. But the fine workings of our DNA are still largely a mystery. By Carl Zimmer In 2024, two scientists from Google DeepMind ...
Scientific Research Publishing

Feng, L., Zhao, C. and Sun, Y. (2021) Dual Attention-Based Encoder-Decoder: A Customized Sequence-to-Sequence Learning for Soft Sensor Development. IEEE Transactions on Neural ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...