With 6X Dynamic Multi-Frame Gen tech and a second-gen Transformer training model, DLSS 4.5 brings a big boost in image ...

Insilico now has a pipeline of more than 40 AI-developed drugs it is developing for conditions such as cancer, bowel and kidney disease.

Data Center Building Block Solutions (DCBBS) and Advanced Direct Liquid Cooling (DLC) Technology with Supermicro US Based ...

"Recent advances in deep learning have promoted EEG decoding for BCI systems, but data sparsity—caused by high costs of EEG collection and inter-subject variability—still limits model performance.

Advancing high-speed steady-state visually evoked potential (SSVEP)-based brain–computer interface (BCI) systems require effective electroencephalogram (EEG ...

ABSTRACT: This thesis focuses on leveraging Image Processing, Computer Vision, Machine Learning, and Deep Learning, particularly the Vision Transformer (ViT) model, for early identification of ...

Transformers have been the backbone of power grids for over a century, but today’s demands for renewable energy, electric vehicles, and smarter grids are exposing their limits. Enter solid-state ...

The aim of this research is twofold: first, to compare the predictive capabilities of two vanilla Deep Learning models (DL), Long Short-Term Memory (LSTM) and Transformer, specifically focusing on ...

Abstract: Graph Neural Networks (GNNs) have gained momentum in graph representation learning and boosted the state of the art in a variety of areas, such as data mining (e.g., social network analysis ...

Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...