When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.

Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...

dBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, OX2 6GG, UK ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Wei X, Yin Z, Zhang S, Zhang M and Zhu D (2026) Development and validation of a machine learning model for predicting preoperative deep vein thrombosis in elderly hip fracture patients.

Pfizer reported fourth-quarter results that beat expectations, offering a steadier earnings picture as the company moves further away from the Covid-driven revenue surge of recent years. While demand ...

Abstract: This growing need for player safety in sports has spurred the creation of newer models for predictive analysis. The project involves predicting the injury risk of basketball players using ...

Each parameterization method combined with structured data and structured data-only were compared for predicting intensive care unit transfer or death in the next 24 hours using deep recurrent neural ...

Diabetic retinopathy is a leading cause of vision loss worldwide. Early and accurate diagnosis can prevent vision loss, and automatic grading is particularly important to assist physicians in making ...