If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Cancer researchers have a new tool at their disposal that could help improve survival rates. Developed by University of Texas ...

Aseptic processing demands reliable, robust, and validated analytical methods to ensure sterility, safety, and quality, ...

To modernize data and infrastructure, HLC recommends expanding transparency standards and mitigating bias. It points to the transparency and disclosure requirements set out in HTI-1 and suggests ...

The procedure is based around dynamic optical contrast microscopy (DOCI), a technique in development at UCLA since 2016. It ...

How machines can reliably recognize harm before it occurs? While AI models can optimize outcomes and follow predefined rules, ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

Real-time microscopy and AI reveal how atomic wetting controls tin oxide nanowire growth inside carbon nanotubes, uncovering ...

What Are Non-Human Identities, and Why Are They Crucial for Security? Have you ever pondered the implications of leaving machine identities unsecured? With cybersecurity advances, the spotlight ...