A Tribune reporter and data nerd went looking for a smarter way to evaluate and draft NBA players. From Cooper Flagg to a few ...

Bringing data modelling back doesn’t mean slowing down. With Agentic AI, it means moving faster without compromising on ...

NIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant ...

Mutinex has introduced Data Maite, an AI-powered auto-labelling feature in its DataOS product, designed to reduce the time ...

In a landscape where data lakes and warehouses have long been treated as distinct and often incompatible tools, the lakehouse ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the ...

As a CMO, I'm always looking for ways to reduce costs while not reducing effectiveness, and synthetic data fits this bill for ...

This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

Each row represents a different model. The three bottom rows are Llama models from Meta. And as you can see, Llama 3.1 70B—a ...

Tom McAndrew, a computational scientist and associate professor in Lehigh's College of Health, recently published a paper in ...

Infectious diseases remain a major public health challenge worldwide, prompting continuous advancement in mathematical modeling techniques, analytical ...