By CASP13, in 2018, most groups were using deep learning to predict protein structures, pushing accuracy levels up to about 60%. Top marks that year went to AlphaFold, a model designed by researchers ...

Artificial Intelligence (AI) is rapidly taking over industries. The fear of job displacements is palpable; however, as companies around the world are scrambling to automate various processes, ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Attention-based decoder models were used to generate libraries of novel inhibitors for ...

The model, the training history, and its application to the test set are contained into the noteook. Its aim is just demonstrative. In particular the architecture and the loss function used for the ...

Through the looking glass: If this week's science news is anything to go by, it won't be long before Big Brother is peering inside our heads. Coming on the heels of US scientists revealing a GPT model ...

Abstract: Due to its use in a variety of fields, including autonomous driving, robot navigation, remote sensing, medical research, agriculture etc.,In recent years, video scene parsing (VSP) has ...

Abstract: The prediction of traffic in regards to data services can be leveraged by cloud and edge computing orchestration mechanisms in order to minimize the costly number of resources being utilized ...

The data preprocessing and mathematical modeling (synthetic tumor generation) for this project has been conducted in Python (.py). The neural modeling and encoder-decoder development has been done in ...