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

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

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, ...

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

As firms race to adopt AI, the real challenge lies in making data accessible, structured and usable across organizations. He ...

Cirrascale runs on-prem Gemini on a Dell-made appliance running Intel and Nvidia CPUs and GPUs but doesn’t use Google’s ...

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 ...

Large language models can transmit harmful behavior to one another through training data, even when that data lacks any ...

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

The Beeck Center for Social Impact + Innovation at Georgetown University identified six archetypes of chief data officer ...