Abstract: Distributed architecture is expected to be an effective solution for large-scale edge computing tasks in terminal devices. However, it remains a great challenge to resolve the conflict ...

Google’s proposal to explore space-based AI infrastructure raises fundamental questions about energy, physics and feasibility ...

Abstract: In Vehicular Edge Computing (VEC), apart from the Road Side Units (RSUs) that can undertake the computation, smart vehicles that incorporate high-end multi-core processors into On-Board ...

The best new features and fixes in Python 3.14 Released in October 2025, the latest edition of Python makes free-threaded ...

Good Morning, Tech Fam! Here’s your quick dose of today’s biggest tech headlines. What’s New Today: Moore Threads challenges Nvidia with next-gen AI chips, the ...

Introduction - what is a Lock / Mutex? In multithreaded/asynchronous programs, multiple "tasks" run in parallel. One challenge with such parallel tasks is that ...

Hemanth Kumar Padakanti transformed Angi's AI capabilities by architecting a secure, automated MLOps platform that reduced downtime and operational costs.

Overview: The demand for programming skills in 2026 centres around versatility, performance, and scalability as companies ramp up AI, cloud, and web services.La ...

A Python library for generating unique, distributed IDs using a modified Snowflake algorithm. This library allows for easy generation of Snowflake IDs, encoding/decoding to Base62, and extracting ...

China has activated what may be the world’s largest distributed AI computing pool, alongside a high-speed data network developed over more than a decade, according to a state newspaper. The official ...