Author: Carter

In automated assembly, every second counts. But optimizing cycle time isn’t simply about speeding up machines—it’s about cutting waste, refining workflows, and applying proven methods that boost consistency across the whole production line. “We begin with a target volume—how many units must the system produce each year? That figure is then converted into a parts-per-minute rate, factoring in how many hours per year the automation will actually run,” explains Joseph Trudeau, senior applications engineer at The Arthur G. Russell Co. Next, engineers assess how complex the assembly process is and how long each step takes. This usually means conducting detailed…

Graphs have emerged as the go-to business semantic layer, offering a consolidated view of an organization’s suppliers, contracts, products, partners, and more. Over time, they grow organically, expanding to include millions of nodes (entities) and significantly more edges (relationships). Even with governance controls and ontologies in place, consistency across different data pipelines feeding into the graph is often lacking. New business rules are introduced, naming conventions evolve, and older sections of the graph are frequently left unchanged due to the immense complexity and high computational cost of updating them. All these factors make maintaining a large graph increasingly challenging. One…

As LLM-driven agents transition from experimental prototypes to real-world deployments, a critical design challenge is growing increasingly difficult to address: the more powerful and useful cloud-based memory becomes, the more it exposes sensitive user information. A collaborative research team from MemTensor (Shanghai), HONOR Device, and Tongji University has unveiled **MemPrivacy**, a framework designed to resolve this conflict without undermining the very utility that makes personalized memory valuable in the first place. ## The Core Problem With Cloud Memory Every time you engage with an AI agent, your conversation may reveal highly sensitive information — health conditions, email addresses, financial details,…

The Department of the Navy is making sure its top-ranking officers have a solid grasp of artificial intelligence as the technology becomes increasingly central to modern warfare operations. The Naval Postgraduate School is spearheading these educational initiatives, offering both specialized courses and cutting-edge technology to support that mission. Randy Pugh, who serves as NPS’s vice provost for warfare studies, director of the Office of Warfare Studies, and leader of the AI task force, said that classroom instruction and research are critical components. But NPS’s newly formed partnership with Nvidia is accelerating the learning curve significantly. “Through our partnership with Nvidia,…

Jeffrey Hazelwood/ZDNET; ShutterstockFollow ZDNET: Add us as a preferred source on Google.ZDNET’s key takeawaysAttacks on enterprise networks are becoming more frequent.Cybercriminals are using AI, but humans remain the weakest link.Defending against attacks requires structural changes to the network.Here’s the paradox of modern cyberwarfare: Increasingly, the attackers are using machines that can work orders of magnitude faster than the humans who control them. In response, the targets are increasingly turning to automated systems to detect and repel those intruders.But in this machine-versus-machine combat, humans remain the center of each battle, and we mere mortals continue to be the weak point. That’s…

In 2026, enterprise agentic AI has moved from pilot budgets to production commitments. Salesforce is closing Agentforce deals at 29,000 since launch with $800M ARR. Microsoft Copilot Studio has 160,000 organizations running 400,000+ custom agents. ServiceNow has restructured its entire commercial model around autonomous AI tiers. The question is no longer whether to deploy — it is which platform fits which workflow. This guide ranks the 10 platforms and frameworks enterprise teams are actively deploying in 2026, organized by production readiness, with pricing, adoption data, and honest constraints for each. Two Risks to Understand Before Evaluating Platforms Most vendors in…

As the world approaches the 16th anniversary of Bitcoin Pizza Day, ZOOMEX, a top global digital asset exchange, has officially unveiled its Pizza Week campaign. This event celebrates the landmark moment when Bitcoin was first used in a real-world purchase. ZOOMEX’s campaign stays true to the original spirit of cryptocurrency by highlighting its core offerings—such as ZoomCard, ZoomexStocks, and the 0-Cost Trading Competition—aiming to shift digital assets from mere speculation to everyday use. On May 22, 2010, a programmer from Florida, Laszlo Hanyecz, posted on the BitcoinTalk forum offering 10,000 Bitcoins for two large pizzas. A user in the UK…

A recently discovered version of the ‘SHub’ macOS infostealer leverages AppleScript to display a deceptive security update alert and deploys a backdoor onto the system. Known as Reaper, this updated variant harvests sensitive browser information, gathers files and documents potentially holding financial data, and takes control of cryptocurrency wallet applications. Previous SHub infection campaigns depended on “ClickFix” techniques, which duped users into copying and running commands in Terminal. Reaper, in contrast, takes advantage of the applescript:// URL scheme to open the macOS Script Editor with a preloaded malicious AppleScript. This method gets around Apple’s Terminal-focused protections rolled out in late…

They teach you how to build a model accurately. They rarely teach you the choices that come right after. How do you know when to fully automate something versus keeping a human in the loop? When does prompting stop being enough and fine-tuning become worth the cost? What does it actually mean to pick real-time inference over batch when the bill arrives? These questions don’t show up in coursework. They show up your first week in production! This article walks through 6 trade-offs that show up in production AI work. All backed by the latest research, so you get a…

One year ago, we introduced AWS Transform for .NET, Mainframe, and VMware workloads—the first agentic AI service designed specifically for large-scale enterprise application modernization. At re:Invent 2025, we rolled out AWS Transform Custom, which lets organizations modernize and transform code at scale using either AWS-managed or custom-built transformations. This includes upgrading language versions, migrating frameworks, boosting performance, and analyzing codebases with transformations that are either ready-made or tailored to your organization’s unique needs. We also added full-stack Windows modernization, Reimagine capabilities, and automated testing for mainframe environments. In just 12 months, thousands of customers have migrated hundreds of thousands of…