Microsoft is rapidly rolling out support for MCP across its Azure cloud services and its AI development tools.

Here, we showcase how our graph neural network (GNN)-based implicit solvent (GNNIS ... deviation over the RMSE values is at most 0.05 kJ mol –1 nm –1). Hence, one model was selected for all further ...

While existing emotion analysis methods focus on the utilization of effective deep models for data-driven and big data analytics technology, they often struggle to extract long-range dependencies and ...

Nonetheless, it often overlooks the issue of data heterogeneity across sites. We propose a Federated Graph Learning-based Cross-Network Layer Feature Alignment (FGLFA) model for MDD identification.

All the major model providers, both commercial and open source, are supported. Developers who want to store data locally in a vector database can plug in directly to any of the dozen or so options ...

To run the algorithm you only need your model and a small (~300 samples) calibration dataset. OpenVINO is the preferred backend to run PTQ with, while PyTorch, TensorFlow, and ONNX are also supported.

Model Explorer offers an intuitive and hierarchical visualization of model graphs. It organizes model operations into nested layers, enabling users to dynamically expand or collapse these layers. It ...

“AI is evolving faster than we ever thought possible, and the opportunities it’s opening up are mind-blowing. But this is more than shiny new tech; it’s about making a difference in the world. That’s ...