Author: Awais
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It’s easy to let edge cases influence your decision-making—thinking you need the most technical tool for the few times your developers will want to code their way out of a tough problem.And with enterprise software, it’s tempting to assume you have to choose between power and ease of use. But that’s not always true. The best automation platforms deliver both, scaling to meet complex enterprise needs while remaining intuitive enough for anyone to start building right away.Automation for every team, approved by ITYou can use either Zapier or Tray for enterprise automation, but while Tray is built for technical teams,…
Alongside carbonara and amatriciana, cacio e pepe is one of Rome’s most essential pasta dishes. Celebrated for its elegant simplicity, the most classic versions include just pasta, freshly ground black pepper, and Pecorino Romano cheese. This version adds butter, which helps the sauce emulsify and lets the crushed pepper bloom, giving the fullest flavor. We also toss in a bit of Parmesan to balance Pecorino’s sharp, salty tang with warm, nutty richness.Perfectly silky sauce takes a little technique: grate cheeses on the finest holes of a box grater (not a Microplane), reserve pasta water to loosen the sauce, and use…
Enterprise SEO doesn’t fail because teams lack knowledge. It fails because they’re invited too late. In most large organizations, SEO still operates in a reactive posture. Teams review pages after launch, run audits, document issues, file tickets, and then wait, often for months, for other teams to implement changes. Modern search visibility is no longer shaped by tweaks. It is shaped by what gets built upstream. High-performing organizations have responded by changing SEO’s role entirely. Instead of treating SEO as a cleanup function, they’ve repositioned it as a commissioning function, one that defines the exact requirements digital assets must meet…
[Submitted on 6 Jan 2026 (v1), last revised 17 Mar 2026 (this version, v3)] View a PDF of the paper titled From Intuition to Calibrated Judgment: A Rubric-Based Expert-Panel Study of Human Detection of LLM-Generated Korean Text, by Shinwoo Park and Yo-Sub Han View PDF HTML (experimental) Abstract:Distinguishing human-written Korean text from fluent LLM outputs remains difficult even for trained readers, who can over-trust surface well-formedness. We present LREAD, a Korean-specific instantiation of a rubric-based expert-calibration framework for human attribution of LLM-generated text. In a three-phase blind longitudinal study with three linguistically trained annotators, Phase 1 measures intuition-only attribution, Phase…
Introduction , we regularly encounter prediction problems where the outcome has an unusual distribution: a large mass of zeros combined with a continuous or count distribution for positive values. If you’ve worked in any customer-facing domain, you’ve almost certainly run into this. Think about predicting customer spending. In any given week, the vast majority of users on your platform don’t purchase anything at all, but the ones who do might spend anywhere from \$5 to \$5,000. Insurance claims follow a similar pattern: most policyholders don’t file anything in a given quarter, but the claims that do come in vary enormously…
Google is expanding how inventory appears in Google Ads Search campaigns, giving automotive advertisers a more visual, product-rich format directly in text ads. What’s happening. Google Ads now supports vehicle feed integration on Search ads, allowing advertisers to pull inventory from Google Merchant Center and enhance existing text ads with details like make, model, price, and images. How it works. Vehicle listings appear as clickable assets alongside standard Search ads, either below or beside the main text. Users can click through to a specific vehicle detail page or a broader landing page, depending on the interaction. Why we care. This…
Peek into any AI art community, and you’ll be wowed by the surprisingly unique image generations. While there’s a lot that goes into a successful AI art prompt, I’ve found that most of the time, those wow images are so good because they use style words in the prompt.It’s a simple trick, but it’s one you can start using right now to improve your AI-generated images.Create AI images from any app you useAutomate AI image generationNote: Each AI image generator will interpret the styles in a different way. In all the examples below, I’ve used Midjourney, but I spot-checked in…
arXiv:2603.16568v1 Announce Type: cross Abstract: We study a simple unsupervised regularization scheme for autoencoders called Manifold-Matching (MMAE): we align the pairwise distances in the latent space to those of the input data space by minimizing mean squared error. Because alignment occurs on pairwise distances rather than coordinates, it can also be extended to a lower-dimensional representation of the data, adding flexibility to the method. We find that this regularization outperforms similar methods on metrics based on preservation of nearest-neighbor distances and persistent homology-based measures. We also observe that MMAE provides a scalable approximation of Multi-Dimensional Scaling (MDS).
is trained on vast datasets and can perform a wide range of tasks. Many foundation models today are based on some variant of the transformer architecture pioneered by the likes of Google and OpenAI. Despite being resource-intensive to train, transformer-based models can achieve high predictive performance at scale, exhibit emergent capabilities for performing tasks without explicit training, and can work with different types of input and output data. While large language models such as ChatGPT are trained on text data, foundation models may also be trained on other forms of data (e.g., images, audio, and video). Recently, some companies with…