Michael Skinnider and his team have developed DeepMet, a large language model–guided program that can assign a structure to ...

Former U.S. youth climate negotiator and TikToker, Lia, debunked a viral video showing a misleading graph about climate ...

Large language models (LLM) can generate treatment recommendations for straightforward cases of hepatocellular carcinoma (HCC ...

Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology ...

For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake ...

Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall - SiliconANGLE ...

Abstract: Recovering the structure of causal graphical models from observational data is an essential yet challenging task for causal discovery in scientific scenarios. Domain-specific causal ...

All previous code files, data files and pretrained model weights have also been comprehensively updated—please refer to the latest release for the correct and up-to ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping capabilities, saying the enhancements enhance Fabric’s capacity to power ...

Abstract: We introduce an interpretable and scalable graph-based system designed to predict biases in instructional achievement across diverse educational data. Aimed at large-scale learning platforms ...

We evaluate two representative tensor compiler backends, CINN (PaddlePaddle) and TorchInductor (PyTorch), on GraphNet's NLP and CV subsets. The evaluation adopts two quantitative metrics proposed in ...