Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

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Abstract: DataFrame libraries are widely adopted in data science for their flexible, Pythonic interfaces, but their fragmented APIs and unstructured query patterns limit systematic optimization.

Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...

Chubb has introduced an artificial intelligence-powered optimization engine within Chubb Studio, its global technology platform for embedded insurance distribution. The new feature leverages ...

How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...

Search is changing faster than ever – and 2026 may be the year it fully breaks from the past. Over the last year, AI has reshaped how people discover, decide, and convert, collapsing the traditional ...

The platform uses AI algorithms and constraint management to optimize load assignments across drivers, routes, and schedules in real-time. It features a natural language interface that allows ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

If I remove the OR condition inside the parhentesis works. My first thought is to debug the execution and at a certain point the query is "flatten". Not sure why, maybe for index optimization? In the ...