His team is using machine learning and deep learning techniques to examine super-resolution microscopic images of cell structures and determine which features stand out. Accurate interpretations of ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Deep learning tools are experts at extracting structured data from a set of unstructured data without the need for human intervention; this gives deep learning an advantage over machine learning ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal ...

It includes a broad collection of tools for processing and analyzing 2D images and 3D data using traditional rules-based methods as well as those based on deep learning.

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg ...

French startup Neuralk-AI is an artificial intelligence company that has been working on AI models focused on tabular data. The company this week announced $4 million in funding.