MIT and Microsoft researchers have developed Murakkab, an intelligent system that streamlines the design and deployment of AI agentic workflows. The system automatically identifies the best models and tools, configures hardware, and allocates computational resources in real time. In testing, Murakkab reduced computational units by 65%, energy consumption by 73%, and costs by over 75% while maintaining performance. https://news.mit.edu/2026/improving-ai-agent-speed-and-energy-efficiency-0625 #AIagent #AI #GenAI #AgenticAI
Related
BMAD-METHOD hits 55,000 GitHub stars as v7 nearsBMAD-METHOD, a free open-source framework for agile AI-driven developmen...
BMAD-METHOD hits 55,000 GitHub stars as v7 nearsBMAD-METHOD, a free open-source framework for agile AI-driven development, has 55,387 GitHub stars with version 7 due mid-November 2...
Could you survive without Microsoft? Inside the costs of digital dependence#Tech #AI #Microsoft #DigitalDependence #IEA ...
Could you survive without Microsoft? Inside the costs of digital dependence#Tech #AI #Microsoft #DigitalDependence #IEA #EWaste #DataCentres #DigitalSustainability #Environment #In...
亜人としてはWi-Fiを応援していきたいですApple’s first smart glasses are coming together https://www.theverge.com/tech/1033968/apples-first...
亜人としてはWi-Fiを応援していきたいですApple’s first smart glasses are coming together https://www.theverge.com/tech/1033968/apples-first-smart-glasses-are-coming-together#Apple #LLM #news #bot