Author: Carter

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…

Today’s cybercriminals launch attacks with a scale, speed, and success rate typical of industrial enterprises. To fight back, defenders need to equip themselves with the same level of AI and automation. The roots of cybercrime’s industrialization trace back to the 1990s. As criminal operations adopted the structure, tactics, and objectives of legitimate industries, they evolved into a full-fledged business. Running a business profitably demands efficiency—more output with less input—and modern cybercrime accomplishes this through AI, automated systems, and the seamless exchange of data. FortiGuard conducted a comprehensive analysis of the threats dominating today’s cybercrime landscape, drawing on telemetry from millions…

Posted on April 30, 2026 by Jed Salazar, Field CTO, Edera CNCF projects highlighted in this post Not long ago, Anthropic revealed that its latest AI model, Mythos, independently identified and weaponized zero-day vulnerabilities across every major operating system and web browser — including a 27-year-old flaw that had evaded decades of human audits and millions of automated checks. The model needed no specialized guidance or human experts directing its efforts. If an AI model can autonomously chain together exploits to gain full kernel-level control of Linux, what does that say about an infrastructure paradigm in which thousands of workloads…

When a generator, tool, or machine part goes missing, the expense goes far beyond simply buying a new one. In industries that rely heavily on physical assets, lost or stolen equipment can stall projects and force companies to scramble for emergency rentals—making asset tracking an increasingly vital piece of equipment management.Samsara has published its 2026 State of Connected Operations Asset Theft & Loss Report, which takes a close look at how much equipment theft and loss actually cost large-scale physical operations.The study, called Quantifying the Hidden Cost of Asset Invisibility, draws on responses from more than 1,500 finance executives working…

When choosing LED UV curing equipment, engineers frequently turn to data sheets to evaluate different options. Peak intensity is usually one of the standout specifications listed—and it can carry significant weight in the selection process. That said, peak intensity by itself doesn’t tell the whole story of how a curing system will actually perform in a production setting. The fundamental principle of UV curing is the total amount of energy delivered to the substrate, typically called dose. This is simply the intensity of UV light multiplied by the amount of exposure time (Total Dose = Intensity × Time). While this…

The developers at Kimi.ai (Moonshot AI) have made a major contribution to open-source AI infrastructure. Their team has released FlashKDA (Flash Kimi Delta Attention), a high-performance CUDA kernel built on CUTLASS that implements the Kimi Delta Attention (KDA) mechanism. Now available on GitHub under the MIT license, FlashKDA delivers prefill speedups of 1.72× to 2.22× compared to the standard flash-linear-attention implementation on NVIDIA H20 GPUs. It also works as a seamless drop-in backend within the widely-used flash-linear-attention library. Exploring Kimi Delta Attention and Its Importance Before diving into FlashKDA’s technical details, it is useful to understand the broader context of…

Michael Saylor, who founded Strategy and now serves as its executive chairman, took the Nakamoto Stage at Bitcoin 2026 on Tuesday to make the case that a preferred stock instrument launched just nine months ago has become the fastest-expanding credit product the world has ever seen — and that its growth trajectory is still in its early stages. His keynote, centered on the concept he calls digital credit, was essentially a structured sales pitch for STRC — Strategy’s Variable Rate Series A Perpetual Stretch Preferred Stock. The instrument trades on Nasdaq close to its $100 par value and distributes an…

Image by Editor # Introduction Python decorators offer significant advantages for AI and machine learning projects. They are especially effective at isolating core modeling and data pipeline logic from repetitive utility tasks such as validation, timing, and logging. This guide highlights five practical Python decorators that developers have found particularly effective for producing cleaner AI code. The code samples provided rely on Python standard libraries and well-established patterns like functools.wraps. Their main purpose is to demonstrate how each decorator works, allowing you to focus on customizing the logic for your own AI projects. # 1. Concurrency Limiter This decorator is…

A technical look at the first 24 hours: how quickly attackers enumerate and target newly exposed assets Written by Topher Lyons – Sprocket Security The moment a new asset gets a public IP address, a clock starts. Not a slow one. A relentless, automated one. The gap between “this just went live” and “this is being actively probed” is minutes, not days. That’s not theoretical. With the help of our ASM Community Edition, it’s what Sprocket Security sees continuously across customer environments, and it’s exactly what attackers count on: your team won’t know something is exposed until it’s already too…