
We are entering an era where artificial intelligence is becoming the foundation for how software is built rather than just a tool added to existing systems. A new type of AI called agentic AI is emerging, which can reason, plan, and act independently to accomplish tasks, moving beyond previous generations that could recognize patterns or generate content. Organizations are being redesigned from the ground up as "AI-native," meaning their infrastructure and processes are built specifically to work with AI rather than fitting AI into legacy systems. This shift is already delivering measurable business benefits for early-adopting organizations, including faster development cycles, improved employee productivity, and quicker time to market.

OpenClaw just released native companion apps for iOS and Android. The iOS app is listed as ‘OpenClaw – AI that does things.’ Both apps are free to download. They are not standalone chatbots. Each phone becomes a node in a self-hosted agent network. The assistant itself runs on a separate Gateway. That separation is the whole design. TL;DR OpenClaw’s iOS and Android apps are companion nodes, not standalone assistants. The Gateway runs the agent; phones add came

In this tutorial, we build an advanced, Colab-ready workflow around PyGraphistry for interactive graph analytics and visualization. We start by creating a realistic enterprise-style access dataset, transforming it into nodes and edges, and enriching the graph with risk scores, anomaly indicators, centrality metrics, community detection, and layout embeddings. We then use PyGraphistry to bind graph structure, visual encodings, labels, tooltips, and filtered subgraphs, and to generate local inter

AI scientists are becoming a new interface for scientific computing. These agents read papers, write code, generate hypotheses, call APIs, and inspect files. But science is not software engineering. No test suite turns green when a hypothesis is correct. Discovery stays iterative, uncertain, and grounded in the physical world. That gap is what NVIDIA is targeting. NVIDIA published a hands-on walkthrough for its BioNeMo Agent Toolkit. The argument is direct. A general coding agent pointed at
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on Maven