Graph machine learning (or graph model), represented by graph neural networks, employs machine learning (especially deep learning) to graph data and is an important research direction in the ...

Google’s Gary Illyes answered questions during the recent Search Central Live Deep Dive in Asia about whether or not they use the new Multi‑Vector Retrieval via Fixed‑Dimensional Encodings (MUVERA) ...

Several prominent foundation models are employed to enhance our understanding of high-throughput biological data, followed by a discussion on the application of prediction and generation models across ...

There is a confluence of activity—including generative AI models, digital twins, and shared ledger capabilities—that are having a profound impact on helping enterprises meet their goal of becoming ...

If you are interested in learning how to build knowledge graphs using artificial intelligence and specifically large language models (LLM). Johannes Jolkkonen has created a fantastic tutorial that ...

In the conclusion of my discussion with Dr. Philipp Herzig, SAP's Chief AI Officer, we get into SAP's foundation model plans, and why SAP is building a Knowledge Graph. A companion podcast with Geoff ...