Abstract: The investigation presents the development and evaluates a forecasting framework which uses deep learning to make agricultural predictions through a Long Short-Term Memory (LSTM) network.

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Predicting the evolution of wear in metallic structural components is vital for accurately estimating the lifetime of engineering equipment. However, this remains a significant challenge due to the ...

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 ...

Expert-level Claude Code skills for data engineering: dbt, Fivetran, Kafka, Airflow, Snowflake, and more. This repository contains a curated suite of skills that enable Claude Code to provide expert ...

Abstract: Although Large Language Models (LLMs) are widely adopted for Python code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test ...

Robotics is moving onto the critical path of data center construction and operations. From fleet-based drilling to perception-driven inspection and digital twins, a phased roadmap points toward more ...

Microsoft has acquired US-based startup Osmos and will integrate its agentic AI data engineering platform into Microsoft Fabric, enabling organisations to analyse and share data more easily. Osmos ...

Microsoft (MSFT) announced today it has acquired Osmos, an agentic artificial intelligence data engineering platform designed to simplify complex data workflows. No financial details on the ...

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Taylor Soper on Jan 5, 2026 at 2:28 ...