Hello! I'm Oto-wan!I learned about Codex sub-agents and understood that 'it seems possible to handle multiple tasks in parallel.'But when you actually try to use them, don't you find yourself thinking ...

Why do so many AI agent tool calls run on the CPU? Drawing on NVIDIA's CUDA guide and a research paper: GPUs can execute branches, and divergent branches run one after another. In SWE-Agent, doubling ...

The EU agency is seeking an expert in criminal investigations, cyber threat intelligence, and digital forensics to lead ...

At work, I use a Python tool that automates browser operations. It launches several browsers in parallel to process hundreds ...

For most of the past decade, moving HPC workloads to the cloud was treated as a strategic question. The technical gaps were ...

You spent three hours debugging a broken ETL script, your data is sitting in five different places in five different formats, and the stakeholder meeting is tomorrow morning. If you've ever stared at ...

The abundance of libraries in Python has made it the language of choice for data analytics, data engineering, and machine learning. However, with the increasing size of the datasets, organizations are ...

Organisations must leverage Python’s growing capabilities, alongside open source technologies, to design data and AI platforms for 2026 and beyond. Innovations on the horizon will reshape this ...

Python is remarkable in the way it’s evolving with the times. Here’s a peek into the new features of Python 3.13 and 3.14, highlighting their real-world impact. Python’s continuous evolution over the ...

Shubhankar Gahlot is a machine learning engineer and MLOps architect with over five years of experience working across research and industry. He has built machine learning and data engineering systems ...

Abstract: We present FastFlow-Python, a framework that brings parallelism to Python for stream-processing applications. FastFlow-Python enables developers to build high-throughput, low-latency ...