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AI-Powered Diagnosis Tool – Seeking Validation & Expert Guidance Hello everyone, I’m developing an AI-based diagnosis tool to assist doctors in analyzing X-rays, MRIs, and symptoms and disease for early-stage differential diagnoses. This will help

AI Agents now have muscle memory. This Python SDK records agent tool-calling patterns, replays them for repeated tasks, and falls back to agent mode for edge cases. 100% Opensource. Read more here: https://www.theunwindai.com/p/muscle-memory-for-a

You don’t need more tools. You need one AI agent that thinks, acts, and executes—like it’s on your team. No task switching. No micro-managing. Just outcomes. Codestam is building AI agents that don’t just assist. They own the job.

🧠 Why training AI to be too perfect may be holding it back… In my latest post, I explore why designing AI agents with human-like limitations is not a weakness - it’s a superpower. FPS games might be the key to developing AI that thrives under uncer

How about creating hospital management that will be completely managed by Ai agents, no headache for staff and for doctors ai agent will be helping as a third eye and helps medical stores in hospitals to manage their stock and for management analysin

Microsoft Announces $3 Billion Investment to Expand Azure in India Microsoft CEO Satya Nadella announced Microsoft’s largest investment in India yet, a $3 billion commitment to expand Azure’s infrastructure in the country, at the Microsoft AI Tour i

AI vs. Human: The Future of Collaboration- The debate between AI and human capabilities is intense. While some fear AI will replace human roles, others see AI as enhancing human potential. AI excels in processing vast data, predicting trends, and aut

Meet Hueman AI: Pioneering the future of work with purpose-built AI agents designed to transform productivity across industries. Our specialized agentic AI solutions empower businesses in healthcare, finance, legal, customer service, and beyond with

Before automation: 200+ tickets flooding in every week Average resolution time = 2 full days Support team constantly burned out, juggling repetitive issues After introducing AI-powered automation: ✅ Tickets are triaged instantly ✅ Common/repetiti