The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Researchers at the Indian Institute of Science (IISc) and the Qatar Science and Technology Research Center (QSRTC) have ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

Through large-scale cohort analysis, researchers have established a novel and stable classification of sepsis patients. Multi ...

From robot-assisted surgery to personalised disease treatment - technology can do some truly remarkable things. But while the ...

Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

MNEs are increasingly using algorithmic tools in TP. Sahasranshu Dash argues that data ethics should therefore plug directly ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Clustering can be done using various algorithms such as k-means, hierarchical clustering, density-based spatial clustering of applications with noise (DBSCAN) and Gaussian mixture model (GMM) ...

Subsequently, it facilitates the dynamic clustering of physical machines and virtual machine deployments, ensuring a balanced utilization profile. Furthermore, it introduces the memory priority ...