Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

We conducted a multi-phase study to develop a serum exosome non-coding RNA (ncRNA) feature for diagnosing GC through machine learning. The exosome ncRNA feature has wide practicality, including ...

Code samples for the book "Applied Machine Learning and AI for Engineers" by Jeff Prosise. Feel free to use any of these samples in projects of your own.

A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying ...

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

Machine learning has become an essential tool for many industries looking to harness the power of artificial intelligence. However, getting machine learning models from experimental phases to ...

Although gene-editing and other techniques can improve the production of microbe-based biologics, AI could push these drugs ...

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

By combining fine-tuning and in-context learning, you get LLMs that can learn tasks that would be too difficult or expensive for either method ...