Context, not compute, will define the next generation of intelligence

Researchers call this context rot: as an AI system processes more information, irrelevant details clutter its working memory.
DATAQUEST

Polyglot Persistence- Not just an exotic idea anymore

SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational ...

Collate Launches Semantic Intelligence Graph to Help AI Understand Enterprise Data

Central to Collate's new capabilities is the launch of AI Studio, which enables enterprises to build, deploy, customize, and tune AI agents to their unique data environments. AI Studio provides a ...
GitHub

Query your Delta Tables as a Graph

Databricks provides tables designed for massive scale, enabling efficient storage and querying of tens of billions of triples with features like time travel No ETL or migration needed—just query your ...
marktechpost

AmbiGraph-Eval: A Benchmark for Resolving Ambiguity in Graph Query Generation

Semantic parsing converts natural language into formal query languages such as SQL or Cypher, allowing users to interact with databases more intuitively. Yet, natural language is inherently ambiguous, ...
IEEE

Intent-Driven Semantic Query: An Effective Approach for Temporal Knowledge Graph Query

Abstract: The temporal knowledge graph (TKG) query facilitates the retrieval of potential answers by parsing questions that incorporate temporal constraints, regarded as a vital downstream task in the ...
Inside EVs

'Exactly The Same': This 225,000-Mile Tesla Model 3 Is Just As Efficient As An 18,000-Mile Car

R Symons Electric Vehicles, a U.K.-based electric vehicle dealer, drove two nearly identical Tesla Model 3s 200 miles for a range and efficiency test. Despite one car having 225,000 miles, it was just ...