Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, ...

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

That’s where transformative technologies, such as artificial intelligence and machine learning, can help you ... One of my agency's projects involved using an AI personalization tool for our ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches ... two disparate algorithms could be reframed using the same underlying equation.

As she explored the math behind both, she realized they could be explained using the same equation. This discovery led to the development of information contrastive learning (I-Con), a framework that ...

In the case of commonly used Streptococcus pyogenes Cas9 (SpCas9), pairing requires the standard PAM sequence, 3’NGG, which inevitably restricts the use of the enzyme to PAM-encoding genomic ...

Researchers have successfully employed an algorithm to ... a deep-learning-based method to detect these types of footprints of DNA-protein interactions. Using data from 170 human liver samples ...

It also provides a rich set of tools for model visualization ... learning library developed by the Apache Software Foundation. It provides a wide variety of machine learning algorithms designed to be ...

A paper describing their novel machine learning method was recently published in Nature Computational Materials. "Using simulations, we were not only able to predict abnormal grain growth, but we were ...