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Author: Carter
Hi, I'm Carter, a Wisconsin-based tech writer and creator. I launched this blog as a comprehensive resource to help people navigate the fast-moving tech landscape. Covering multiple facets of the industry—from software insights to digital tools—my goal is to break down complex concepts into actionable, easy-to-understand guides. When I'm not tracking the latest tech trends, I'm focused on developing my skills in business administration and digital management.
# Introduction Knowing just SELECT, WHERE, and GROUP BY covers basic data summarization, but many real-world analysis jobs demand more advanced query patterns. Think about tasks like spotting consecutive activity streaks, grouping customers by spending level, smoothing out noisy time-series data, or tracking how users move between subscription plans over time. This guide covers 7 hands-on SQL techniques that go past the fundamentals, zeroing in on methods that tackle genuine analytical challenges. # Setting Up the Dataset We’ll work with a sample transactions table from a made-up subscription software (SaaS) business: CREATE TABLE transactions ( transaction_id SERIAL PRIMARY KEY, customer_id…
The finding supports/confirms FAS needs an evaluation approach that distinguishes between the reseller’s and the VAR’s value/price to the customer. Roger Waldron June 19, 2026 12:56 pm 3 min read On June 2, the General Services Administration’s Federal Acquisition Service shared a “Summary of Results of Request for Information (RFI) about IT Hardware procured through Value Added Resellers (VAR)” on its Interact Multiple Award Schedule (MAS) Community site. This summary highlighted key takeaways from the 136 responses received following FAS’s January RFI. The RFI aimed to gather commercial market insights from stakeholders “to deepen the Government’s understanding of the Value-Added…
Investment in AI now extends beyond software to include power systems, cooling solutions, packaging technologies, logistics, and automation—because the ability to run AI workloads depends on the physical infrastructure that keeps hardware functioning. As a result, the bottlenecks affecting data centre construction also impact distributed systems, factory operations, laboratories, warehouses, and field deployments—environments where edge and IoT teams must integrate equipment, collect data, ensure uptime, and manage process control.Major cloud providers are ramping up spending on data centres, while demand for semiconductors and AI hardware continues to grow. While McKinsey’s projection of generative AI’s economic impact offers a sense of…
# Introduction When you first dive into machine learning, everything feels straightforward. You follow a guide that tells you to load some data, train a model, and suddenly you encounter lines like loss = “mse” or criterion = nn.CrossEntropyLoss(). Before you know it, the guide jumps into formulas, gradients, optimization techniques, and Greek symbols. If you have ever pretended to follow along without truly grasping what a loss function actually does, don’t worry — you are in good company. Loss functions tend to be taught in the wrong order. Most guides begin with the math when they should begin with…
A stress test revealing both strengths and weaknessesWhen massive amounts of money exit a financial system rapidly, underlying vulnerabilities tend to surface. In conventional finance, such scenarios typically trigger emergency lending measures, withdrawal caps, or government-funded rescue packages.Decentralized finance (DeFi) operates on a different model.Aave stands as one of the largest lending platforms in the crypto space. In April 2026, users pulled roughly $8.45 billion from the protocol following the KelpDAO rsETH bridge exploit, which sparked widespread anxiety throughout DeFi markets.Aave’s own smart contracts remained intact. The strain originated from an external rsETH bridge incident that impacted Aave through collateral,…
Law enforcement agencies from the Netherlands, Canada, Germany, and the United States have jointly dismantled the malicious network behind SocGholish, simultaneously remediating nearly 15,000 compromised WordPress websites. “Through these measures, we have cut off cybercriminals’ access to infected computer systems,” stated Maikel Rollman of the Dutch National Police’s High Tech Crime Unit. “This action prevents additional harm to the digital systems of citizens, businesses, and organizations around the globe, curtails the malware’s proliferation, and lessens the danger of these systems being weaponized against critical infrastructure and other vital societal functions. This operation represents the initial phase of further measures targeting…
We’re excited to announce that Web Search is now generally available on Amazon Bedrock AgentCore. This fully managed tool allows AI agents to base their answers on up-to-date, cited web information, all without any data leaving your secure AWS environment. Web Search operates through a built-in connector within the Bedrock AgentCore Gateway, utilizing the Model Context Protocol (MCP). When your agent submits a query in natural language, Web Search provides the most relevant content snippets, along with source URLs, titles, and publication dates. The AI model then uses this information to generate accurate, well-supported responses. This feature is powered by…
Key Takeaways: RADAR’s $170 million Series B raise will fuel wider retail rollouts, next-gen sensor technology, AI-driven analytics, autonomous checkout innovation, and global expansion. The platform provides retailers with real-time, item-level inventory tracking via ceiling-mounted sensors and software, enabling smarter restocking, order fulfillment, theft prevention, and merchandising strategies. RADAR, an AI-driven retail intelligence platform, has secured $170 million in Series B financing, co-led by Gideon Strategic Partners and Nimble Partners, with additional participation from Align Ventures, pushing the company’s valuation to $1 billion. RADAR’s platform integrates custom-built overhead sensors, software, and an analytics engine into one comprehensive system. Ceiling-mounted sensors…
Design and architecture of the SAMJ pluginIt’s worth emphasizing that SAMJ doesn’t propose a new model for bioimage segmentation. Rather, it delivers a software solution that streamlines the use of an established foundational model (SAM), which we consider highly beneficial for bioimage annotation—particularly within Fiji, where its environment, ease of use, and macro language make it perfectly suited for high-throughput annotation and automation.SAMJ builds on SAM’s core framework, which consists of three essential components: an image encoder, a prompt encoder, and a mask decoder. The image encoder relies on a Visual Transformer (ViT)11 to process the input image, delivering strong…
Trimethylbenzoyl diphenylphosphine oxide, commonly known as TPO, is a photoinitiator widely used in UV-curable adhesives, nail polish, inks, and coatings. When exposed to UV light, TPO absorbs the energy and generates free radicals that kickstart the polymerization process, causing the material to harden. In May 2025, the European Union officially banned TPO in cosmetic products, with the restriction taking effect on September 1, 2025. The EU classified TPO as a Class 1B reproductive toxicant, based on animal studies in which male rats experienced testicular shrinkage at high doses. The EU follows a precautionary principle, meaning it prohibits any chemical that…















