"We want to do GraphRAG too. Let's start by creating an ontology." "A knowledge graph is basically just an ontology, right?"I have had more opportunities to hear these kinds of conversations in ...

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...

And I kept looking at that dictionary and thinking: nobody is allowed to just use that for compression? TokPress is a ...

Ensure data pipeline reliability and troubleshoot issues fast by using standard Python logging directly in BigQuery UDFs for real-time observability.

With TorchTPU now available as open source on GitHub, you can now train, serve, and deploy models on TPUs using the tools you ...

Learn how to apply Clean Architecture in Python without overengineering, using domain entities, use cases, Protocols, and lightweight infrastructure layers.

Entity resolution (also known as data matching, data linkage, record linkage, and many other terms) is the task of finding entities in a dataset that refer to the same entity across different data ...

Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). Build EU AI Act conformity evidence, validate models like a risk committee, price ...

Palantir’s ontology system reorganizes how institutions understand and use their data, making it central to the company’s AI strategy. The key question is whether this technology is truly ...

Organizations typically rely on multiple disconnected services to ingest, store, transform, analyze, and visualize data. This fragmentation creates data silos, increases integration overhead, and ...