Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this ...

The institute and Roar serve as a major resource to the high-performance computing (HPC) and big data research community within the University,” said Guido Cervone, ICDS director. “ICDS aims to ...

Thirdly, weather prediction is a “big data” problem. There are vast amounts of relevant observational data, which is what you need to train a complex machine learning model.

Artificial intelligence is accelerating material discovery and design by automating analysis, guiding experiments, and enabling predictive modeling across spectroscopy, microscopy, and synthesis.

From self-driving cars to facial recognition, modern life is growing more dependent on machine learning, a type of artificial ...

The life and health insurance industry landscape across the globe is now confronting mounting challenges such as increasingly ...

While self-learning AI enhances traditional behavioral analytics by improving accuracy, scalability and bias mitigation, it's crucial to remain aware of the ethical concerns surrounding these models.

Hydrological prediction is crucial for water resource management, flood/drought prevention, and climate adaptation. While traditional physics-based ...