Author: Carter

Assembly of bendable materials, like clothing, can be automated in ways other than duplicating manual sewing techniques. Source: CreateMe For over 200 years, the sewing machine has been the core of how clothes are produced. It automated the handwork of artisans, but it also trapped the industry in a single approach: pushing thread through material. Even with improvements in robotics and automation, most clothing still follows that same principle. Humans provide the skill, alignment, and problem-solving for bendable materials that machines find difficult to copy. The limitation isn’t a lack of trying. It’s that most methods are trying to automate…

SAP explains that enterprise AI governance protects profit margins by shifting from statistical estimates to precise, deterministic control.If you ask a consumer-level AI model to count the words in a document, it will frequently be off by around ten percent. Manos Raptopoulos, Global President of Customer Success for Europe, APAC, Middle East & Africa at SAP, points out that in enterprise operations, the gap between nearly perfect and fully accurate is not a small step—it is a critical divide.“The jump from 90% to 100% accuracy is not gradual. In our context, it is a matter of survival,” Raptopoulos states.As companies…

The US Commodity Futures Trading Commission (CFTC) is taking legal action against New York, Connecticut, Arizona, and Illinois for enforcing state-level gambling regulations on prediction markets.This comes amid an intense legal battle between state regulators and firms like Kalshi, with the central question being who holds the authority to oversee these “prediction” platforms. Several other states have already sent cease-and-desist notices or filed lawsuits against similar marketplaces.Strategy purchased more than 56,000 Bitcoin. One of its final acquisitions in April was financed through a $250 million offering of the company’s common shares.In France, prosecutors have indicted 88 suspected “wrench attackers” who…

Large language models are incredibly powerful, yet remain frustratingly opaque under the hood. When something goes wrong — a model suddenly switches languages, loops the same output repeatedly, or wrongly blocks a harmless request — developers have almost no visibility into what caused the issue at the computational level. Qwen-Scope was built precisely to solve this black-box problem. The Qwen Team has just published Qwen-Scope, an open-source collection of sparse autoencoders (SAEs) trained across the Qwen3 and Qwen3.5 model families. The release includes 14 sets of SAE weights spanning 7 model variants — five dense models (Qwen3-1.7B, Qwen3-8B, Qwen3.5-2B, Qwen3.5-9B,…

The market for managed security services is expected to surge from $38.31 billion in 2025 to $69.16 billion by 2030[1], with cybersecurity standing out as the sector growing at the quickest pace[2]. Despite this promising outlook, plenty of MSPs are leaving money on the table because their sales approach fails to connect hands-on technical know-how with what customers actually need from their business. This disconnect is precisely where most deals come to a standstill. MSPs tend to concentrate on technical frameworks and system vulnerabilities, yet their clients ultimately make decisions based on tangible business results: lowering risk, passing compliance audits,…

The Pentagon wants expanded authority for interagency cyber transfers and a shorter probationary period for cyber workers in excepted service roles. Anastasia Obis April 30, 2026 6:43 pm 3 min read The Pentagon is requesting new authorities from Congress for fiscal year 2027 to help recruit and keep cyber talent, as it continues to face ongoing shortages in its cyber workforce. In a legislative proposal shared with Congress earlier this month, the Department of Defense asked for the removal of obstacles that make it hard for employees to transfer between the Cyber Excepted Service (CES) and the competitive service. The…

Andriy Onufriyenko/ Moment via Getty ImagesFollow ZDNET: Add us as a preferred source on Google.ZDNET’s key takeawaysMeasuring productivity means setting KPIs that show value.Working harder with AI doesn’t always mean working better.Focus on strong partnerships that demonstrate clear benefits.Proving the value of AI is more challenging than it sounds. A CIO recently explained to me he’d proudly told his CEO that the organization’s Microsoft Copilot implementation had saved the average employee 30 minutes a day. The CEO’s response was curt: “So what? How are staff using that time to produce something valuable for the company?”The CIO admitted to being somewhat…

As the saying goes, a single picture communicates more than a thousand words. Still, only a handful of corporate chatbots are capable of reliably returning images that are directly tied to their source material. What’s the reason? The answer is: although this would be a major improvement over a purely text-based experience, it’s challenging to execute with consistent reliability. Still, there’s no shortage of situations where this capability would be incredibly valuable. From real estate prospects wanting to view properties to technicians seeking the latest machine specifications, users would much rather receive precise, relevant images and maintenance tables directly within…

Visa has included Polygon in its stablecoin settlement network, providing fintech issuers with an alternative method for settling card transactions outside of regular banking hours. Although card payments seem instant to consumers, issuers still rely on bank working hours, cut-off times, weekends, and holidays to receive settlements. This delay creates working capital challenges for fintechs, especially those managing payments programs or relying on sponsor bank frameworks with significant transaction volumes. By integrating Polygon, these fintechs can now process stablecoin settlements on a blockchain already widely used for high-volume US dollar transactions. Handling Capital Costs from Weekend Settlement Gaps Card systems…

In my first TDS article, I explained how to transform a real-world challenge into an integer linear program. A second piece addressed how to make that model resilient to uncertainty. Both built on the same principle: take an ambiguous practical problem, express it as a linear program, and let a solver handle the rest. Yet at some point, every modeler hits a wall where the LP feels artificially tidy. You feed it a demand figure, a travel time, a wind speed. The model takes those numbers, outputs a solution, and moves on. But the real world they represent—unpredictable, noisy, occasionally…