Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

A slower "reasoning" model might do more of the work for you -- and keep vibe coding from becoming a chore.

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

By engineering a system replicating the womb lining with high biological accuracy, researchers at the Babraham Institute and ...

The GeForce RTX 50 Series line of GPUs comes equipped with Tensor Cores designed for AI operations capable of achieving up to ...

We ask a lot of our homes, and the most effective way to get them to perform all the tasks is zoning. Here we spoke to designers to find out how to zone different types of spaces ...

Abstract: This study addresses detecting multiple targets in the presence of signal-dependent clutter using a multiple-input–multiple-output radar system. Our primary objective is to design transmit ...

Ivar Jacobson created the first use case model in 1987 while working at Ericsson. It started as a tool for developing complex ...

Most users walk away from AI tools unsure of what the system actually did or why it made specific decisions. That's a design ...

ZDNET's key takeaways Different AI models win at images, coding, and research.App integrations often add costly AI subscription layers.Obsessing over model version matters less than workflow. The pace ...

Earlier this year, FIG published the book titled LADM in the Classroom. In the style of that book, this article gives an ...

Advancing the frontier of quantum chemistry by combining deep learning with Density Functional Theory (DFT) to unlock unprecedented accuracy and scalability in electronic structure simulations. Skala, ...