A research team from Southern Medical University has developed a machine learning-based gene model that predicts whether ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

The training process shapes a function that can map as much of the input onto its corresponding (known) output as possible. After that, the trained model labels unfamiliar examples. Unsupervised ...

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

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

Yes, most of us continued to blindly train every possible machine learning model for years after that. It was because only cloud-computing hyperscalers and venture-funded AI companies had access ...

Machine learning algorithms need data, so the researchers designed a polymerization process that would quickly and efficiently generate experimental data to feed into the mathematical model. The ...

The top databases for machine learning and AI in 2023, as per the search results, include PostgreSQL, Redis, MongoDB, Cassandra, and Amazon Aurora.