With new funding, simmetry.ai plans to develop a scalable platform for generating synthetic training data, aimed at helping ...

Modern agriculture is under pressure from every angle rising labor costs, unpredictable weather, herbicide resistance, and ...

Artificial intelligence (AI) models are systems trained to recognize patterns, make decisions, or generate content based on data. In other words, AI models are the ‘brains’ behind AI applications. But ...

Across China’s vast agricultural regions from greenhouse belts near major cities to expansive grain-producing provinces AI-powered farming robots are rapidly ...

Carbon Robotics' neural net for agriculture could be more advanced than self-driving cars, says founder Paul Mikesell.

This illustration shows how the "Pest-ID" tool developed by Iowa State researchers can help farmers identify and manage pests of all kinds. Image courtesy of Iowa State's Translational AI Center. Nine ...

Computer vision is rapidly transforming plant sciences and agriculture by enabling high-throughput, precise, and scalable phenotyping and monitoring. This Collection invites Data Descriptors ...

Progress in agricultural AI often inches along, but a new wave of architectural innovation is reshaping the field from the ground up. Across recent IEEE and Q1 journal publications, researchers are ...

Large language models, or LLMs, are the AI engines behind Google’s Gemini, ChatGPT, Anthropic’s Claude, and the rest. But they have a sibling: VLMs, or vision language models. At the most basic level, ...

LONDON--(BUSINESS WIRE)--Ultralytics, a global leader in vision AI at the edge, has completed a $30 million Series A funding round led by Elephant with participation from SquareOne. “Ultralytics’ ...