Author: Carter

companion to Enterprise Document Intelligence, a series whose stance is that enterprise RAG amplifies the expert, it does not replace them. The architecture follows from that: four bricks (document parsing, question parsing, retrieval, generation), each emitting typed pieces that converge on one LLM call. The industry now calls that practice context engineering. Scope here is the single-document case; corpus, conversation, and tool-call extensions are follow-up work. where this article sits in the series: Article 7bis (context engineering), the reframing companion to the four bricks – Image by author 📓 Runnable notebooks are on GitHub: doc-intel/notebooks-vol1. The public companion-code repo at…

Today, we’re announcing AWS CloudFormation Express mode, a new deployment mode that accelerates deployments for developers and AI tools iterating on infrastructure. Express mode accelerates deployments by completing when CloudFormation confirms resource configuration is applied, rather than waiting for extended stabilization checks. This reduces deployment time by up to 4 times for iterative development workflows and production scenarios. How it works Every CloudFormation deployment performs stabilization checks after resource configuration is applied. These checks serve an important purpose when you need to confirm resources can serve traffic before shifting load. However, many workflows do not require full stabilization to proceed. Express…

By Marc Kavinsky, Lead Editor at IoT Business News.Berg Insight expects the installed base of fleet management systems in Latin America to reach 20.6 million units by 2030, pointing to a larger addressable market for telematics connectivity, platforms and lifecycle services across the region.Fleet management in Latin America is often discussed in terms of hardware adoption, but the more important signal for the IoT ecosystem is the size of the active installed base. Devices already deployed in vehicles generate recurring demand for cellular connectivity, cloud platforms, integrations, support, upgrades and data-driven services long after the initial sale.That is why Berg…

By integrating reinforcement learning with high-fidelity physics-based simulation, morph said it enables a faster translation from concept to product. | Source: morph As advances in AI have made robots smarter and more capable, some developers are increasingly focusing solely on the software element of intelligence. Robotics startup morph is taking a different approach, one that sees embodied AI as both a hardware and a software problem. The London-based company embeds sensing and adaptive control directly into reconfigurable deformable materials, enabling real‑time change in morphology and stiffness. The result is soft cells that developers can integrate into a range of robots. “We’re…

Linq developers can now build iMessage Apps. These are interactive mini-apps that run inside a iMessages conversation. A user can shop, play a game, book a flight, or pay. None of it requires leaving the iMessage thread. There is no deep link to an external browser. There is no ‘tap here to finish in the app.’ Previously, an agent’s main API option was to send a link. The user then had to follow it somewhere else. iMessage Apps remove that handoff. TL;DR Linq’s new imessage_app part renders tappable, interactive cards directly inside an iMessage thread. One card handles full workflows:…

President Donald Trump holds more than $50 million in Bitcoin, stored in cold wallets, according to his 2025 annual financial disclosure released by the U.S. Office of Government Ethics. The filing is a detailed federal accounting of the president’s personal crypto position since he took office in January 2025. In total, Trump reported generating more than $1 billion in crypto-related revenue last year, including $635 million in royalties from his memecoin venture and more than $500 million from token sales associated with World Liberty Financial. The headline figure of over $50 million sits in a single line of the report.…

Bash (Bourne Again SHell), the 1989 GNU rewrite of the original Linux Bourne Shell, can still cause problems more than three decades later through its Bash Tricks. Adversa AI has discovered a structural security flaw in multiple open source AI agents. It’s not a specific bug but a process that can get malicious Bash instructions ingested into the agent, and from there into whatever the agent does – typically with the operator’s approval. Adversa calls this structural issue GuardFall. “We tested eleven popular open source agents, including Hermes, OpenCode, Roo-code, and others,” explains Omer Ben Simon, lead researcher at Adversa…

Claude in Microsoft Foundry is the production path enterprises have been asking for: true frontier model choice, Azure-native controls, simplified procurement, and faster time to value. Most enterprise AI projects do not stall because of model quality. They stall because of everything around the model: procurement, governance, networking, and data. Claude in Microsoft Foundry is now generally available, hosted on Azure, giving teams a faster path from agent experimentation to production. Enterprises can build with Claude through their existing Azure account, using the authentication, billing, networking, governance, and data controls their teams already trust. Instead of solving for infrastructure, teams…

Jada Jones/ZDNETFollow ZDNET: Add us as a preferred source on Google.As a Georgian, it’s customary to travel down to Florida to get some sun on the beach during summer vacation. I figured this year, I’d take a few of the latest Bluetooth speakers with me to better gauge their performance.Also: I flew 2,700 miles with Apple, Sony, and Sennheiser headphones – this pair had the best audioAs with the many headphones I test, it’s easy to form a positive opinion of a speaker in controlled environments such as my home office, front porch, or parents’ backyard. But throw that same speaker into…

  # Introduction  Python remains one of the best programming languages for building practical, real-world projects, especially as AI, automation, APIs, dashboards, and data applications continue to grow in 2026. In this article, I have put together seven Python projects that I personally created, tested, and documented so you can follow along without getting stuck. These are not just random project ideas. Each project is designed to solve a real problem, whether it is detecting scam messages, building AI research assistants, deploying machine learning models, analyzing data, or creating agentic workflows. I have made sure that each guide is beginner-friendly, reproducible,…