Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...

Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

As climate change intensifies harmful algal blooms worldwide, an international team led by Hiroshima University has developed ...

AI-driven interventions reduce the odds of hospitalization within 7 days by 8% in patients with end-stage kidney disease receiving hemodialysis, according to a recent study.

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

A first-of-its-kind study led by researchers at the Centre for Addiction and Mental Health (CAMH) has found that artificial intelligence (AI) models used to predict aggressive incidents in acute ...

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a study published in Physical Review Letters, a team led by Prof. Peng Xinhua and ...

There is an exciting future on the horizon—one in which your thoughts could directly control electronic devices you use every ...

In this webinar, Charlotte Deane will explore how artificial intelligence and computational biology are transforming nanobody and antibody therapeutic design.