A new artificial intelligence model, Aquila, helps computers read remote sensing images with greater detail and stronger ...

Using visual prompts helped improve glaucoma detection by a large language model, according to a poster presentation at the ...

Abstract: Deep learning algorithms have driven substantial progress in remote sensing semantic segmentation. However, conventional approaches typically rely on predefined semantic categories, ...

A new study published in Engineering explores how artificial intelligence (AI), deep learning (DL) and foundation models can address the core challenges of terahertz ultra-massive multiple-input ...

Enterprises that have been juggling separate models for reasoning, multimodal tasks, and agentic coding may be able to simplify their stack: Mistral’s new Small 4 brings all three into a single ...

In the rapidly evolving landscape of automotive technology, vision sensing has emerged as a crucial component for intelligent driving systems. A recent article published in Engineering, titled “Vision ...

Single 2.6B-parameter model achieves state-of-the-art performance across drug discovery benchmarks while running entirely on private pharmaceutical infrastructure CAMBRIDGE, Mass., March 3, 2026 ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. Barbara is a tech writer specializing in AI and emerging technologies. With a ...

WASHINGTON — A new report from the National Academies of Sciences, Engineering, and Medicine examines how the U.S. Department of Energy could use foundation models for scientific research, and finds ...

Vision language models (VLMs) have made impressive strides over the past year, but can they handle real-world enterprise challenges? All signs point to yes, with one caveat: They still need maturing ...