A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

It’s just part of the job. I use these real-life examples because they demonstrate clearly that the writer — the AI user — is definitely to blame when errors occur with AI chatbots.

Humans are wired for real-world connection. We think better together, we build trust in person, and we thrive on the energy that comes from sharing a space with others.

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine ...

Nanoplastics generated from real-world plastic waste readily adsorb heavy metal ions, study reveals by Sanjukta Mondal, Phys.org Editors' notes ...

By combining fine-tuning and in-context learning, you get LLMs that can learn tasks that would be too difficult or expensive for either method ...

Extracting nano-sized plastic particles from real-world waste has proven to be a challenge in the past, so scientists have largely studied laboratory-made nanoplastics.

Learn from specific customer success stories that highlight real use cases Understand how these technologies can solve problems like efficiency, accuracy, and adaptability in industrial equipment ...

From computer-using AI agents to autonomous vehicles, we have compiled some of the most powerful real-world AI agents examples in 2025.

Real connection requires real presence In our digitally-driven world, entertainment that presents a compelling case to leave the comforts of home and gather in the real world, feels more necessary ...

Not only does this provide a real-world example of students, but it helps schools connect with their community, creating vital relationships in the process. Problem to progress Create an engineering ...