AI models are only as good as the data they're trained on. That data generally needs to be labeled, curated and organized before models can learn from it in an effective way. One ...

Along with the dataset, Encord has created a new methodology for training multimodal AI models. It’s called EBind, and the ...

Fabian Kiendl and Christian Schäflein of Maiwald examine how AI engineering can yield patentable inventions and consider the ...

In a paper published in SCIENCE CHINA Earth Sciences, a team of researchers investigated a fine-scale lightning forecasting ...

Abstract: The scarcity of annotated data has sparked signifi-cant interest in unsupervised pre-training methods that leverage medical reports as auxiliary signals for medi-cal visual representation ...

New shooters and editors can often get hung up on which codec and data rate they should use, and indeed, choosing the wrong ...

The new AI mode in Google's search was announced for Wednesday, but the rollout is taking time. The EU needs patience. And nerves.

Abstract: Transfer learning from pre-trained encoders has become essential in modern machine learning, enabling efficient model adaptation across diverse tasks. However, this combination of ...

Meta’s V-JEPA learns physical intuition from raw videos, surprising researchers with its ability to detect impossible events.

A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...

This is read by an automated voice. Please report any issues or inconsistencies here. “We should use some of the dangerous cities as training grounds” for the military, President Trump said Tuesday, ...

Tech giant IBM ($IBM) has launched a new AI model called FlowState, which is designed to make accurate predictions using time-series data. For ...