For R&D leaders evaluating AI investments, I’d offer one piece of advice: Before spending more on models, look hard at your ...

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

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

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

Forbes contributors publish independent expert analyses and insights. I cover logistics and supply chain management. Interos.ai, a company providing supply chain resilience and risk management ...

One decision many enterprises have to make when implementing AI use cases revolves around connecting their data sources to the models they’re using. Different frameworks like LangChain exist to ...

A new study co-authored by Yale SOM’s Jidong Zhou models the interaction between individual privacy choices and firms’ ...

A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...