Explore the vibrant polling day in Kochi and Vypeen during the 2026 Kerala Assembly Elections, highlighting voter enthusiasm ...

Abstract: In this paper, we analyse the M/M/1 queueing model, with working vacation, balking, reneging, feedback customers, and server breakdown. The customer was served using FCFS. The arrival ...

AI company Runway has announced what it calls its first world model, GWM-1. It’s a significant step in a new direction for a company that has made its name primarily on video generation, and it’s part ...

Another day in late 2025, another impressive result from a Chinese company in open source artificial intelligence. Chinese social networking company Weibo's AI division recently released its open ...

Microsoft has launched its new in-house AI image generation model, MAI-Image-1, to compete with offerings from OpenAI and Google. For the past few years, Microsoft has heavily relied on OpenAI’s AI ...

Tesla has unveiled the long-promised cheaper versions of its two main cars, dubbed the Model 3 Standard and Model Y Standard, after the expiration of the $7,500 tax credit for American buyers of most ...

Meet The Model Formula 1 Drivers Are 'Obsessed' With originally appeared on The Spun. The 2025 Formula 1 season is hitting the back stretch, with 12 races complete and 12 to go. Daniel Norris, driving ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

SWE-1 is designed to support the entire software development lifecycle, from managing incomplete tasks to optimizing long-term projects. While many existing AI tools concentrate on specific functions ...

SWE-1 was made possible through Windsurf’s core design principle: flow awareness, the ability for humans and AI to operate on a shared timeline. This deep integration between the Windsurf Editor and ...

The idea of simplifying model weights isn’t a completely new one in AI research. For years, researchers have been experimenting with quantization techniques that squeeze their neural network weights ...