As firms race to adopt AI, the real challenge lies in making data accessible, structured and usable across organizations. He also discusses the rise of the model-driven economy, the growing importance ...

GBH Morning Edition host Mark Herz spoke with MIT computer science professor Marzyeh Ghassemi about AI's use in medicine.

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Data modeling is the blueprint that transforms raw information into structured, usable insights. By defining entities, relationships, and rules, it connects business needs to technical implementation.

Security professionals can recognize the presence of drift (or its potential) in several ways. Accuracy, precision, and ...

This isn't about rejecting large models; it's about having the engineering discipline to use smaller, specialized models ...

The ability to collect data from electronic medical records, medical images, devices, diagnostics, wearables and apps means that more real world data (RWD) is available to be analyzed and derive ...

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 ...

By combining the efficiency of a Mixture-of-Experts architecture with the openness of an Apache 2.0 license, OpenAI is ...

The "Data Lineage for Large Language Model (LLM) Training Market Report 2026" has been added to ResearchAndMarkets.com's ...

A team at Rice University has built a lab platform that can map the activity of more than 10 million protein variants in a ...