Researchers developed an advanced AI system named YORU that can identify specific animal behaviors with over 90% accuracy across multiple species.

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Researchers at College of Food, Agricultural and Natural Resource Sciences are using AI to detect patterns across landscapes, atmospheres and ecosystems at scales that were previously impossible.

Bot attacks are one of the most common threats you can expect to deal with as you build your site or service. One exposed ...

Want to master artificial intelligence? Experts say the key is hands-on practice with real projects, building strong ...

Neural Atrophy of the Sacred”—the physical degradation of the brain’s capacity for deep contemplative thought and ...

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

The future of social media is being shaped less by new platforms and more by shifting behavior, fragmentation, and ...

This fragmentation does not stop when the workday officially ends. In a survey of 2,000 professionals created by the ...

Birdwatching activates a rare cognitive pattern called soft fascination — a state where attention is gently engaged without ...

JPLoft advances enterprise automation with intelligent AI agents that streamline operations, enhance decision-making, ...

Researchers have built AI systems capable of steering targeted brain circuits in real time, moving neuroscience closer to ...