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 ...

Methodology: how we trained a machine learning model to analyse rhetoric on immigration in the UK parliament over the course of a century ...

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

There are variations of these roles, but the deluge on job boards means one thing: training AI models is a real business. One ...

Innodata Inc. (NASDAQ:INOD) is one of the AI stocks that will go to the moon. On January 29, Innodata Inc. (NASDAQ:INOD) was ...

DRDO aims to enhance India's defence capabilities through AI, focusing on unified operations, data standardization, and strategic autonomy.

Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.

MIT CSAIL's 2025 AI Agent Index puts opaque automated systems under the microscope AI agents are becoming more common and ...

Below is a curated list of machine learning development providers that stand out in 2026 for their ability to build enterprise-grade ML solutions tailored to complex business environments.

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

Embedded AI safety layer blocks LLMs from generating novel chemical threat agents using Lunai’s proprietary biology and ...

A WEBINAR recently hosted by the RSPCA has looked into the potential to use artificial intelligence in the abattoir ...