Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

Artificial intelligence has just redrawn the map of our genome’s control room, revealing hundreds of thousands of tiny DNA ...

The shift from volume to value requires more than enthusiasm. It requires engineering discipline, business ownership and the ...

A team of researchers from Edinburgh University, British Geological Survey and University of Padua in Italy are using ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

AI agents are becoming algorithmic customers and redefining holiday shopping, supply chains and trust while raising new ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

Abstract: Threonine proteases (TPs) are enzymes vital for several biological processes and diseases including Alzheimer’s disease and cancer. Their potential to target and degrade proteins ...

Abstract: This paper focuses on the utilization of gyro sensor data, particularly from the MPU6050 sensor, for sequence prediction and positional analysis for many Industry 4.0 application and asset ...