Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

With the rapid development of industrialization, large amounts of toxic and harmful gases such as NO2, CO, and NH3 are emitted during industrial ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Create a no-code AI researcher with two research modes and verifiable links, so you get quick answers and deeper findings ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

Stanford faculty across disciplines are integrating AI into their research, balancing its potential to accelerate analysis against ethical concerns and interpretive limitations.

A large-scale investigation of carnivoran brain diversity, providing a unified description of folding patterns, their relationship to behaviour and ecology, and the foundation for future ...

Working across entirely different consumer categories showed the same underlying truth: Adoption patterns always trace back ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...