From Classroom to Enterprise: The Ring Programming Language and Softanza Library Power Education and Banking in Niger ...

Abstract: In recent years, large language models (LLMs) based on the Transformer architecture have demonstrated excellent performance in code generation, but there have been fewer studies on data flow ...

February 24, 2026 - PRESSADVANTAGE - In a world increasingly driven by visual content, the ability to efficiently ...

Abstract: Large Language Models (LLMs) have become increasingly popular for text-to-code generation, a task which involves converting natural language descriptions into code. While they have shown ...

Started as an idea which kept evolving into a better and more advanced arithmetic computing machine which then eventually evolved into a machine that can execute series of instructions stored in the ...

According to @AIatMeta, Meta FAIR has introduced the Code World Model (CWM), a 32-billion-parameter research model engineered to advance world modeling in code ...

We're building a next-generation programming language designed to redefine software development. This language combines the performance and robustness with the simplicity and readabilit and adds so… ...

Have you ever wondered how computers understand what we want them to do? It all comes down to programming languages. These special sets of instructions have changed a lot over the years, from really ...

LLMs have rapidly evolved into complex natural language processors, enabling the development of agentic systems that manage complex workflows. However, the use of LLM agents for generating scientific ...

The field of generative artificial intelligence has significantly impacted software development by automating various coding tasks, ranging from simple auto-completions to complex software solutions.

Jensen Huang is the CEO of $3.48 trillion AI chipmaker Nvidia. At London Tech Week on Monday, Huang said that AI enables anyone to write code, simply by prompting a chatbot to do it for them. The ...

With increasing model complexity, models are typically re-used and evolved rather than starting from scratch. There is also a growing challenge in ensuring that these models can seamlessly work across ...