Inside OpenAI’s ‘self-operating’ infrastructure, where Codex-powered AI agents debug failures, manage releases, and compress the work of entire engineering teams ...

We are looking for a Junior Data Scientist who doesn’t just "do data," but builds intelligent systems. In this role, you won't just be analyzing the past; you will be building the future of customer ...

Spark Declarative Pipelines automate flows for batch and streaming data, while Lakeflow Jobs coordinate tasks from SQL queries to machine learning model deployment, supporting streaming tables, ...

Meta has launched Muse Spark, a new AI model created by Meta Superintelligence Labs. The model belongs to the Muse series, which focuses on understanding different types of content, reasoning, and ...

DuckDB Labs recently released DuckLake 1.0, a data lake format that stores table metadata in a SQL database rather than ...

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the ...

A GitHub project now offers an Azure Databricks medallion architecture pipeline built with PySpark, Python, and SQL. It processes e-commerce data through Bronze, Silver, and Gold layers, adding ...

The Tecno Spark 50 5G launched in late March, and today it's joined by the 4G version. This Spark 50 has a 6.78-inch 720x1600 LCD screen with 120Hz refresh rate, the MediaTek Helio G81 SoC at the helm ...

Meta has been one of the most interesting companies of the generative AI era — initially gaining a loyal and huge following of users for the release of its mostly open source Llama family of large ...

Meta released an AI model on Wednesday called Muse Spark, which marks its “first step” toward an “overhaul of [its] AI efforts.” Muse Spark is the inaugural model to come out of Meta Superintelligence ...