Scott Shambaugh didn’t think twice when he denied an AI agent’s request to contribute to matplotlib, a software library that he helps manage. Like many open-source projects, matplotlib has been overwhelmed by a glut of AI code contributions, and so Shambaugh and his fellow maintainers have ...

Time series data drives forecasting in finance, retail, healthcare, and energy. Unlike typical machine learning problems, it must preserve chronological order. Ignoring this structure leads to data leakage and misleading performance estimates, making model evaluation unreliable. Time series ...

In this tutorial, we build an EverMem-style persistent agent OS. We combine short-term conversational context (STM) with long-term vector memory using FAISS so the agent can recall relevant past information before generating each response. Alongside semantic memory, we also store structured records ...

Generative AI

As AI development shifts from simple chat interfaces to complex, multi-step autonomous agents, the industry has encountered a significant bottleneck: non-determinism. Unlike traditional software where code follows a predictable path, agents built on LLMs introduce a high degree of variance. ...

Some influencers make a steady income off a few thousand followers; others have millions of followers but little engagement. And then some people go viral once,…

The transformational potential of AI is already well established. Enterprise use cases are building momentum and organizations are transitioning from pilot projects to AI in production. Companies are no longer just talking about AI; they are redirecting budgets and resources to make it happen. Many ...

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Listen to Earth’s rumbling, secret soundtrack The boom of a calving glacier. The crackling rumble of a wildfire. The roar of a surging storm front. They’re the ...

Current end-to-end robotic policies, specifically Vision-Language-Action (VLA) models, typically operate on a single observation or a very short history. This ‘lack of memory’ makes long-horizon tasks, such as cleaning a kitchen or following a complex recipe, computationally intractable or prone to ...

AI agents , or autonomous systems powered by agentic AI, have reshaped the current landscape of AI systems and deployments.

  AI deployment is changing.

AI coding agents are evolving fast. In 2026, OpenClaw and Claude Code dominate the conversation. Claude Code, backed by Anthropic, offers a polished, ready-to-use experience. OpenClaw, created by Peter Steinberger, is open-source and customizable. Both run on Claude’s frontier models but serve ...