A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

The landscape of machine learning engineering has evolved dramatically over the past decade, with organizations increasingly demanding scalable, production-ready solutions that deliver measurable ...

Brex reports AI is transforming procurement, enhancing efficiency through automated tasks and predictive analytics, while ...

The cost analysis of the smart learning room system needs to clarify the balance between 'explicit investment' and 'implicit ...

This meant that a model could look at the neural signals of a person and infer what colour they were viewing—even without ...

By combining AI with molecular dynamics simulations, researchers at the Department of Energy's Oak Ridge National Laboratory have developed a new tool to more accurately predict how plants and helpful ...

These 10 companies earned Best Workplaces for Innovators 2025 honors for empowering employees to make breakthroughs in AI. The AI, automation, and machine learning excellence category recognizes best ...

In practical applications, the value of AISEO is reflected in two aspects: for enterprises, it can enhance the stability of ...