We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

In 2026, the question isn’t whether Kubernetes wins – it already has. And yet, many organizations are running mission-critical workloads on a platform they still treat as plumbing, not the operating ...

For decades, Uranus and Neptune have been filed neatly into the “ice giant” drawer, shorthand for worlds built mostly from ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.