Swaminathan Sethuraman, a data engineer, bridges AI theory and practice with research on continuous learning and neural ...

For robots to be successfully introduced in a wider range of real-world settings, they should be able to safely and reliably ...

In cheminformatics, where machine learning is transforming our understanding of how molecular properties are predicted and ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural ...

Lighting plays a crucial role when it comes to visual storytelling. Whether it's film or photography, creators spend countless hours, and often significant budgets, crafting the perfect illumination ...

The findings are valuable, given that they highlight the flexible and future-oriented nature of working memory. However, the evidence for the claims about context/color generalization, behavioural ...

Article Title Atomistic neural network representations for chemical dynamics simulations of molecular, condensed phase, and interfacial systems: Efficiency, representability, and generalization ...

Machine learning and neural nets can be pretty handy, and people continue to push the envelope of what they can do both in high end server farms as well as slower systems. At the extreme end of ...

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.

Rapid detection of fish calls within diverse coral reef soundscapes using a convolutional neural network. The Journal of the Acoustical Society of America, 2025; 157 (3): 1665 DOI: 10.1121/10.0035829 ...