Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

The team, consisting of researchers from University College London (UCL) and Queen Square Analytics, analysed 634 patients ...

KBR (NYSE: KBR) announced today it has been awarded a Technical Support Services Contract (TSSC) by the U.S. Geological Survey (USGS), with a $350 million ceiling ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Released every 12 to 18 months, 3D NAND scaling outpaces most other semiconductor devices in replacement rate and performance ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

A good proofreader hears when a paragraph is out of tune, when a word has been out of context or when a connotation is just ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

Smart Contracts in Trade Finance Market size is expected to be worth around USD 37 bn by 2034, growing at a CAGR of 26% ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Candidates can download GATE Data Science & Artificial Intelligence previous year question papers with solutions in PDF.