Phys.org

Machine-learning application makes advanced chemical predictions easier and faster, no deep programming skills required

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, ...
Nature

Modeling of two-stage anaerobic onsite wastewater sanitation system to predict effluent soluble chemical oxygen demand through machine learning

AD is a highly sensitive process therefore different control parameters like environmental emission, energy consumption, digestion procedure and feed pattern are very important to optimize the ...
Phys.org

Machine learning and AI aid in predicting molecular selectivity of chemical reactions

There are few problems now that AI and machine learning cannot help overcome. Researchers from the Yokohama National University are using this modern advantage to resolve what conventional methods ...
Nature

Machine learning trims the peptide drug design process to a sweet spot

Machine learning is now an established approach to triage experiments 7. Accordingly, the team of researchers led by Colwell, hailing from the University of Cambridge, AstraZeneca and Google DeepMind, ...
Science Daily

'Democratizing chemical analysis':Chemists use machine learning and robotics to identify chemical compositions from images

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...