Large language models (LLMs) are now central to many healthcare applications, from generating medical reports to assisting with diagnostics. However, their integration raises growing concerns around ...

There’s quiet momentum behind a simple idea: use safe, low‑power radio waves to spot suspicious changes in the breast. Microwave imaging doesn’t use ionizing radiation or contrast injections, and exam ...

For decades, coding has been the craft of the keyboard warrior. Rows of text scrolling by like a digital incantation. The coder, hunched over, muttering in the glow of two or three monitors, fingers ...

Let’s be honest—“RISK” is one of those terms that gets thrown around in software testing. But when you strip away the hype and jargon, it’s actually quite straightforward. Risk is the possibility that ...

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In Part 3, we shift from theory to practice — exploring how to build the infrastructure needed to support agentic AI at scale. We’ll look at orchestration, governance, and modular architecture as key ...

A old temple of documents, as imagined by DALL-E A few months ago, I stood across from a potential client who described something that sounded like the tech version of a buried temple. No vines or ...

Over the years of a common experience in Agile transformations, is that teams often struggle with the persistent issue of unreliable test environments. A test might fare well on one developer’s ...

Career growth — now there’s an oxymoron if ever there was one. It sounds straightforward, but in truth, it’s anything but linear. Throw software testing into the mix, and it becomes a cocktail of ...

If you’ve run a fine-tuning job on a Large Language Model (LLM), you’re familiar with the part that gets all the attention — the training process. In tutorials and notebooks, success is often ...

In our world, deeply connected, over the course of the day, it’s not unusual to feel “drained”, unable to focus or make even a simple decision. This phenomenon has a name: cognitive fatigue. But what ...