Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Examine the MCA 2026 syllabus: a thorough overview of the essential subjects, broken down by semester, and highlighting popular specializations like artificial intelligence and cloud computing in ...

From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Unified data-to-model lifecycle secured by the new Red Hat AI Python Index. This trusted repository delivers hardened, enterprise-grade versions of critical tools—including Docling, SDG Hub, and ...

Overview: Modern big data tools like Apache Spark and Apache Kafka enable fast processing and real-time streaming for smarter ...

Two days to a working application. Three minutes to a live hotfix. Fifty thousand lines of code with comprehensive tests.

The data science landscape is not merely evolving; it is undergoing a profound transformation. The graduate of 2021, equipped ...

Xanadu Quantum Technologies Inc. (“Xanadu”), a leading photonic quantum computing company, today announced that it has successfully integrated PennyLane and its Catalyst compiler with the Munich ...

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models that are deeply aligned with their specific data domains ...

Agentic AI is already woven into the product roadmaps of nearly every major tech platform. It’s the layer many apps now use to get things done without constant human steering, a ...