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 ...

Early detection saves lives, but no single imaging test fits every patient or every tumor. Breast imaging balances sensitivity (how often cancers are found), specificity (how often healthy people aren ...

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 ...

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 ...

In Part 2 of this series, our author Arun Sahu dives into the core design patterns that make agentic AI systems truly intelligent and adaptive. From self-reflection to multi-agent collaboration, these ...

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 ...

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 ...

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 ...

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 ...