Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...

Transparency is another priority. Given the decentralized and trust-based nature of Web3.0, the expert emphasizes ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...

In the data-centric music economy of 2026, discovery is no longer driven by human taste—it is driven by prediction. Platforms ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

The study shows that personalized medicine demands new competences that extend beyond traditional medical training.

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Infection with the pathogenic yeast fungus Candida auris (C. auris) can wreak havoc on the health of hospital patients and ...