GenAI in Experimentation: Notes from the Panel at 3rd Booking.com Experimentation Conference
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How to Make Your Enterprise AI-Ready Modernization with Data Fabric and MCP
Photo by Google DeepMind on pexel AI-Ready Modernization: The Data Bottleneck Still Persists Enterprises have invested heavily in modernization. The 6R approaches, like rehost, replatform, refactor, re-architect, rebuild, and retire, cut technical debt, improve scalability, and modernize user experiences. Yet the returns fall short of expectations. According to F5’s 2025 State of Application Strategy Report, 96% of organizations are implementing AI, but only 2% are highly ready to scale it [1]. They are struggling to move beyond dashboards and pilots […]
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AI Agent Memory Architecture: How to Build Long-Term Memory That Does Not Rot
AI Agent Memory Architecture Most AI agent memory failures do not look dramatic. The agent simply remembers the wrong thing with confidence, forgets a decision that mattered, repeats a failed action, or applies last week’s state to today’s user. That is why AI agent memory has become one of the highest-leverage engineering problems in production LLM systems. It is no longer enough to bolt a vector database onto a chatbot and call it long-term memory. Developers now need memory […]
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Stop scrubbing huge rosbags to find a 3-second robot failure. I built a ROS 2 tool that turns physical execution failures into ML labels.
If you are training RL navigation policies, learned planners, or VLA-style robot models for real robots, you probably know this Sim2Real pain: A long field test can generate tens of GB of rosbag data. But the useful failure event may last only a few seconds. And then someone has to manually figure out: Was it wheel slip? A localization jump? Timing jitter? A stale command stream? A command/odom mismatch? That failure label is exactly the kind of data […]
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Applying to PhD
Hey guys. I have a question. I have MA in Statistics and currently working as a data scientist. I don’t have much background in robotics AI. I only studied the fundamentals, read essential papers, and just started small research myself. I am planning to apply to PhD where I can further study on robotic AI and was wondering if there will be a chance for a person like me being accepted. I am struggling to decide whether to […]
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From Chatbot to Agent: The ReAct Loop That Changed Everything
How interleaving reasoning and action transforms text generators into problem-solving systems Photo by Faris Mohammed on Unsplash For years, we called systems “intelligent” when they could produce convincing text. That was an understandable mistake. The output looked coherent, the tone felt confident, and the latency was low enough to make the interaction feel alive. But the moment you asked one of those systems to verify a live fact, inspect the result of an API call, or revise a plan […]
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A Reproducible Kernel-Damping Evidence Protocol for SORT-AI Core-3 Structural Coupling Regimes
This technical note introduces a reproducible kernel-damping evidence protocol for the SORT-AI Core-3 applications AI.01 (Interconnect Stability Control), AI.04 (Runtime Control Coherence), and AI.13 (Agentic System Stability). These applications span complementary structural coupling regimes in advanced AI systems: physical/interconnect coupling, logical/runtime-control coupling, and semantic/agentic coupling. The protocol evaluates whether declared structural risk-transition scenarios admit a Gaussian kernel-damping reconstruction under the declared canonical SORT scale parameter σ 0 = 0.00190643. The analysis is restricted to the structural analysis layer […]
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The Only Recursion Guide Most Beginners Will Ever Need
A beginner-friendly guide with simple examples and problems Continue reading on Towards AI »
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10 Questions About Project-Driven Organizations, Answered
Antonio Nieto-Rodriguez, author of “Powered by Projects,” on balancing operations with transformation, reducing hierarchy, and more.
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Leading the Human-AI Organization
Three CHROs on which skills matter most, how to build them at scale, and how to ensure leaders can guide organizations through rapid technological change.
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