Kiro is positioned as an agentic IDE, an environment where AI agents collaborate throughout the software development lifecycle, not just at the prototyping stage.

Innovation requires information, context, collaboration, experimentation, and even failure. Using simulation to make decisions across the product life cycle, from initial concept to end of life and ...

The key to more powerful plugins may be the graphics processor that you already have in your computer. We discover how three ...

Vivek Bhogaraju and Mayank Gandhi shared the lessons they've learned about shepherding AI initiatives across an organization ...

Google’s NotebookLM makes it easier to go through sources for research, analysis, and study. And this review covers the ...

While much has been studied on social accountability in the context of medical education and institutions ... Screening results will be presented in a flow diagram following PRISMA-ScR guidelines. The ...

The Model Context Protocol (MCP) provides a modern, semantically rich way for AI to interact with enterprise systems.

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Explore the hidden challenges of context rot in AI and how input length affects large language models. Uncover the paradox of ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Initial community reactions to Kiro were mixed, but developers were intrigued, praising the emphasis on specs, hooks and ...

To simulate blood flow inside brain aneurysms, researchers from Japan have developed a computational method that combines 4D flow MRI, computational fluid dynamics, and data assimilation, which ...