Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

The 2025 series of the Decision Advantage Sprint for Human-Machine Teaming marked a significant step forward in the ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

Overview: Artificial Intelligence is revolutionizing modern education by making learning smarter, more personalized, and ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

In 2025, AI education moved beyond traditional coding lessons, focusing more on real-world skills, creativity, and ...

Researchers Matthew Golub, Belle Liu, and Jacob Sacks at the Paul G. Allen School for Computer Science & Engineering, have ...

Health system and hospital executives see the promise of automation and artificial intelligence to customize patient outreach ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...