A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with ...

Drexel College of Computing & Informatics' Post-Baccalaureate/Graduate Certificate in Computational Artificial Intelligence & Machine Learning accepts applicants who hold Bachelor degrees in Computer ...

Machine learning is a powerful tool in computational biology ... researchers at Carnegie Mellon University's School of Computer Science propose guidelines that outline pitfalls and opportunities ...

AI and ML have significantly improved research capabilities by automating routine tasks and enhancing data analysis. Scientists are increasingly using AI in areas such as laboratory automation, ...

Skoltech and MIPT researchers have sped up the search for high-performance metal alloys for the aerospace industry, ...

That's where machine learning comes in ... for molecular electronic structures with multi-task learning, Nature Computational Science (2024). DOI: 10.1038/s43588-024-00747-9 ...

The researchers tested their new approach on two groups of metals: five high-melting-point metals (vanadium, molybdenum, ...

The ability to understand key aspects of statistical theory, modelling and Computational Social Science including Machine Learning, Social Networks and Agent Based Modelling. Skills in the preparation ...

Quantum researchers from CSIRO, Australia's national science agency, have demonstrated the potential for quantum computing to ...