Synthetic data is information that's artificially manufactured rather than generated by real-world events. It's created algorithmically and is used as a stand-in for test data sets of production or ...

An AI system trained on more than 20,000 protein structures from pharmaceutical companies outperforms AlphaFold-like models ...

What are machine learning models? A machine learning model automates the process of identifying patterns and relationships that are hidden in data. It can use a combination of prelabeled or unlabeled ...

The answer might lie in specializing the models for professional tasks, rather than expecting a general-purpose model to be the best at all tasks.

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

When most people hear “observability,” they think of on-call rotations, alerts and dashboards for SREs. That narrow view is changing. Over the past few years, observability tools and the practices ...

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...

Large language models (LLMs) are deep learning artificial intelligence programs, like OpenAI’s ChatGPT. The capabilities of LLMs have developed into quite a wide range, from writing fluent essays, ...

While artificial intelligence has long supported higher education research initiatives, it’s now expanding into areas that touch student data. Examples include face recognition in surveillance cameras ...

Cover -- Title Page -- Copyright Page -- Table of Contents -- Acknowledgments -- 1 Introduction and Background -- 1.1 Introduction -- 1.2 What This Book Is Not About ...