Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease.

Large Language Models (LLMs) are the industry’s closest friends. They are our best friends, even if they are seen as disruptors, making the scene volatile. They are a learner’s paradise. With the risk ...

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...

Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...

The Brinqa platform introduces two new AI agents designed to solve some of the most persistent and costly problems in enterprise security.

Science is a subject built on doing. Students learn chemistry through titrations, biology through dissections, physics ...

AI is “deployed.” Outcomes aren’t. The difference is maturity: data, governance, workflow design and integration discipline.

When machines talk back, children may not hear code—they hear care. As AI grows more human, we must ask who is shaping our children’s emotional world, and how to protect them.

AI agents now operate across enterprise systems, creating new risk via prompt injection, plugins, and persistent memory. Here ...