News

Decoding high energy physics with AI and machine learning
In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...
IEEE5d
Caption Generation for Sensing-Based Activity Using Attention-Based Learning Models
Inspired by recent breakthroughs in neural machine translation and the generation of image descriptions, we propose a first-of-its-kind novel attention-based encoder–decoder model to generate a ...
GitHub9d
smiles-encoder: One-hot encoding for simple molecular-input line-entry system (SMILES) strings
smiles-encoder is a Python package used to generate one-hot vectors representing SMILES strings (each string element is a one-hot vector). To contribute to smiles-encoder, make a pull request.
C&EN11d
Multisource Attention-Mechanism-Based Encoder–Decoder Model for Predicting Drug–Drug Interaction Events
Clicking on the donut icon will load a page at altmetric.com with additional ... To fill this gap, we propose two attention-mechanism-based encoder–decoder models that incorporate multisource ...
IEEE27d
Design of a Universal Decoder Model Based on DNA Winner-Takes-All Neural Networks
boldsymbol{-}\boldsymbol{2}^{\boldsymbol{n}}$ universal decoder model is further developed. This study presents an effective method for implementing complex nonlinear logic circuits through DNA strand ...
Microsoft27d
From sea to sky: Microsoft’s Aurora AI foundation model goes beyond weather forecasting
To make sense of large amounts of data drawn from multiple sources, Aurora relies on a flexible “encoder architecture,” which translates raw data and converts it into a standard form the model can use ...