A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

The global federated learning market size was US$ 108.8 million in 2021. The global federated learning market is expected to grow to US$ 251.1 million by 2030 by growing at a compound annual growth ...

Explore how AI predictive analytics reshapes industries by providing insights, forecasting trends, and enhancing ...

Python remains the leading AI programming language in 2025 due to its simplicity, extensive libraries, and strong community ...

The global decentralized identity market was valued at USD 181.8 million in 2021. The global decentralized identity market is expected to grow to US$ 53.1 billion by 2030 by registering a compound ...

AI-based analytics form the most impactful pillar in the model, enabling digital twins to conduct pattern recognition, demand ...

Community health nurses can enhance the elderly's quality of life (QoL) through personalized care, lifestyle counselling, and preventive measures. The primary objective of this study was to develop ...

Researchers from the University of Campinas (Campinas, Brazil) and the Waters Research Center (Budapest, Hungary) introduced ...

Researchers in China have used electrochemical impedance spectroscopy to analyze the state of health of sodium-ion batteries. Extracting four features from the measurements, they were able to create a ...