Current AI models fail to recognize 'relational' image similarities, such as how the Earth’s layers are similar to a peach, ...

An increasing area of interest is the use of digital twin virtualisations to design and reconsider urban environments. City planning, management and operations will benefit tremendously by the ...

Combining artificial intelligence with a conventional climate model can predict heatwaves faster than the standard model ...

By partnering with artificial intelligence (AI), a researcher at the U.S. Department of Energy's (DOE) Brookhaven National ...

The fundamental nature of living things challenges assumptions that physicists have held for centuries.

Scientists at the University of Oxford demonstrate an approach to interpreting how materials interact with polarized light, ...

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.

A predictive space weather model developed by APL and partners that is designed to simulate how solar storms affect Earth is ...

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

We conclude that brain states are shaped by local circuit mechanisms, large-scale connectivity and neuromodulation. A unified multiscale theory of cortical dynamics is relevant not only for ...

To prevent jitter between frames, Kuta explains that D-ID uses cross-frame attention and motion-latent smoothing, techniques that maintain expression continuity across time. Developers can even ...