Agent-to-Agent (A2A) Protocol: The Future of Multi-Agent Systems
Author(s): Alok Ranjan Singh Originally published on Towards AI. Understanding A2A, agent communication protocols, and the future of distributed AI systems Most teams aren’t struggling to build AI agents anymore. They’re struggling to live with the ones they already built. The same …
You Can’t Improve AI Agents If You Don’t Measure Them
Author(s): Gowtham Boyina Originally published on Towards AI. This agent-eval Framework Runs Controlled Experiments on Your Codebase I’ve watched teams add MCP servers to their projects, rewrite documentation for AI agents, or switch from Sonnet to Opus — and then have no …
Why Generative AI Matters for Global Business Services
Author(s): The Hackett Group Originally published on Towards AI. Generative AI in GBS Global Business Services (GBS) organizations are under increasing pressure to deliver more than cost efficiency. As enterprises face growing complexity, rising expectations, and rapid digital change, GBS is being …
Agentic Engineering Roadmap
Author(s): Aqil Khan Originally published on Towards AI. Skills, Tools & Resources In 2025, developers experimented with AI agents. In 2026, organizations are hiring agentic engineers to build them at scale. What started as “vibe coding” — typing natural-language prompts and watching …
How to Leverage NER and Advanced NLP Techniques for Life Sciences
Author(s): CapeStart Originally published on Towards AI. Overview The field of Life Sciences is grappling with an explosion of data. This crucial information, such as spanning research papers, clinical trial reports, patient records, and even genomic sequences, exists as unstructured text. Transforming …
Agent2Agent (A2A) Protocol: A New Era of AI Agent Collaboration
Author(s): Shubham Choudhary Originally published on Towards AI. Agent2Agent (A2A) Protocol: A New Era of AI Agent Collaboration Google Cloud has introduced a new open protocol called Agent2Agent (A2A) designed to help AI agents talk to each other, collaborate, and complete complex …
The Efficiency Wall: Why the Next 1,000x Leap Isn’t More GPUs
Author(s): Kapardhi kannekanti Originally published on Towards AI. The fundamental flaw in modern AI architecture, and the biological “hack” to solve it. We are currently witnessing a massive misallocation of capital in Silicon Valley and beyond. We are burning billions of dollars …
Super Bowl LX: The Night LLMs Went Fully Mainstream (And What It Actually Teaches Us About AI)
Author(s): Nikhil Originally published on Towards AI. Super Bowl LX is the first time foundation models and AI assistants were simultaneously the product, the message, and part of the underlying infrastructure of the event, and that gives us an unusually clear signal …
Top 20 Regression KPI Interview Questions and Answers (Part 2 of 2)
Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 23 Key Performance Indicators (KPIs) such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE) provide quantitative ways to measure how closely model …
AI Psychosis, Gas Town, and Beads
Author(s): Bibek Poudel Originally published on Towards AI. Imagine a programmer at 3 AM, lost in a high-speed dopamine loop while managing a dozen AI agents, feeling an illusion of peak performance. From the outside, their output might look like a mad …
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