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

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

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

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

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.

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 ...

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 ...

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 ...

Discover 15 top tools like MoneyFlare and ChainGPT to automate your crypto and stock trades for passive income in 2026.