Tatsuya Nobori brings high-resolution multiomic approaches to plant biology to map how plants interact with microbes on a ...

Project Suncatcher envisions networks of AI satellites powered by sunlight, pushing machine learning beyond Earth. Imagine ...

Snowflake's approach unifies structured and unstructured data analysis within its platform by treating documents as queryable ...

Extreme weather events such as heavy rain and flooding pose growing challenges for early warning systems worldwide.

OlmoEarth, a new open-source platform from the Allen Institute for AI, runs powerful AI models trained on millions of Earth ...

It’s worth noting that DeepMind also did exceptionally well at intensity forecasting, which is the fluctuations in the ...

Enterprise software giant SAP SE is expanding its Business Data Cloud offering and doubling down on AI-ready data ...

Industrial automation is facing a paradigm shift: machines, robots and mobile systems are learning to “understand” space.

Researchers at Helmholtz Munich and the Technical University of Munich (TUM) have developed Nicheformer, the first ...

A research team has developed a cutting-edge deep learning framework, TM-WSNet, that dramatically improves the accuracy of rubber tree identification and measurement in dense plantation environments.

Researchers at Helmholtz Munich and the Technical University of Munich (TUM) have developed Nicheformer, the first ...