Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

As AI adoption accelerates across financial services, Indian wealth managers are increasingly viewing the technology less as a distant disruption and more as an immediate operating lever. In a recent ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

LASIK offers an example of how ophthalmology is becoming data-driven, using advanced imaging to move beyond static ...

The Beneish model was designed by M. Daniel Beneish to quantify eight variables that can indicate that a company is misrepresenting its profits. Here’s how it works.

Oracle Database 26ai embeds AI capabilities directly into production databases, enabling enterprises to deploy AI securely ...

The Infrastructure gap threatening Uganda’s AI Independence Kampala, Uganda | IAN KATUSIIME |  For Uganda, a nation with a ...

Aeroderivative turbines built on aircraft-engine cores are emerging as a fast-track response to AI-era grid delays, offering high-density, scalable power but bringing new ...

A computational biology company that started in space tech is looking to change how biopharma finds disease targets by ...

They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces into which many will eventually be put to work. The company argues that a ...