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

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 ...

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.

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 ...

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 ...

This story was updated to add new information. LinkedIn user data is being used to train artificial intelligence models, leading some social media users to call out the company for opting members in ...

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 ...

In AI deployments, the largest enterprises are interested in protecting their proprietary data and favoring open AI models with proprietary software customization.

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 ...