Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

With OpenAI only launching its deep research feature at the start of February, it wouldn’t be remiss of you to still be learning all about its potential. If you’re interested in fully ...

The findings are published in Applied Materials Today ("Deep ... of 2D materials classification. (Image: Yaping Qi et al.) The spectral data from seven different 2D materials and three distinct ...

Learn how to choose metrics, interpret outputs, present results, compare models, and tell stories with deep learning analysis. Learn how to choose metrics, interpret outputs, present results, ...

Nvidia’s Deep Learning ... turn on the feature in a game. On the flip side, if your graphics card supports a feature like Frame Generation and the game doesn’t, you won’t see the option ...

It is seen that the M0 cell shows a spinning pattern in the 3D plot and stays close to its initial position in the 2D ... a deep-learning model in the hope that it can have better classification ...

Moreover, a two-dimensional fingerprint plot derived from the Hirschfield ... Cambridge Crystal Database (CCDC) and used deep learning to study the features of the crystal structure that ...

Depending on your problem and objective, you need to select the appropriate metrics to evaluate and compare your deep learning ... maps, feature maps, or attention maps to visualize how your ...