InfoWorld

AI-augmented data quality engineering

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Snowflake thinks AI coding agents are solving the wrong problem

As coding agents stumble in production, the battle for enterprise AI is shifting to the governed data layer. AI coding agents ...
IEEE

An Intelligent Error Detection Model for Machine Translation Using Composite Neural Network-Based Semantic Perception

Abstract: Although machine translation has received great progress in recent years, machine translation results usually existed some errors due to the complex ...

New AI model enables native speakers and foreign learners to read undiacritized Arabic texts with greater fluency

Reading an Arabic newspaper, a book, or academic prose fluently, whether digital or in print, remains challenging for many ...

Your sense of self is deeply tied to your memory—here's how

You might say you have a "bad memory" because you don't remember what cake you had at your last birthday party or the plot of a movie you watched last month. On the other hand, you might precisely ...

This tree search framework hits 98.7% on documents where vector search fails

PageIndex, a new open-source framework, achieves 98.7% accuracy on complex document retrieval by using tree search instead of ...
GitHub

Elegant per-endpoint error handling for FastAPI that keeps OpenAPI in sync.

🔍 Why Not Global Handlers? To convert application errors into HTTP responses, FastAPI allows attaching exception handlers to the app instance. These handlers are global, which makes it harder to ...
IEEE

Classical and AI-Based Explainability of Ontologies on the Example of the Digital Reference - The Semantic Web for Semiconductor and Supply Chains Containing Semiconductors

Abstract: Ontologies are essential for structuring knowledge in complex domains like semiconductor supply chains but often remain inaccessible to non-technical users. This paper presents a combined ...