If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Method development in LC remains a complex, expertise-heavy process, but emerging AI tools offer new promise for managing interdependent parameters and accelerating optimization—especially in ...

KBRA releases research examining the differences between asset-backed securities (ABS) and commercial mortgage-backed securities (CMBS) for data center trans ...

California utility PG&E predicts new data centers will need about 8.7 gigawatts of electricity over the next 10 years.

Seeking structure: an insight into cryo-EM, structural biology and drug development 8 May 2025 Written by Beatrice Bowlby (Digital Editor) Drug discovery and development Lab design and machinery ...

Researchers develop innovative method for secure operations on encrypted data without decryption by Massachusetts Institute of Technology Editors' notes ...

Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of sampling–model ...

We introduce an inference model that processes the spatiotemporal covariance in satellite data and estimates hyperparameters such as covariance length scales. Our approach uses the Gaussian process ...

Machine learning (ML) potentials such as the Gaussian approximation potential (GAP) have demonstrated impressive capabilities in mapping structure to properties across diverse systems. Here, we ...

In this study, the data computation was accelerated by expanding the kernel function in the traditional boundary element method using a Taylor series. Based on the resulting data, an alternative ...