Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

When AI teams deliberately and carefully design their training datasets, they can actively reduce bias, mitigate risk and ...

Avani Lakkireddy is a sophomore using data analytics to find patterns and model behavior in college and professional sports ...

M, a transformer-based AI trained on UK Biobank and Danish health data to predict and simulate lifetime trajectories for ...

It’s not news that AI models will lie. By now most of us have experienced AI hallucinations, or the model confidently giving ...

A powerful software tool capable of accurately modeling how cameras capture light could help democratize the development of ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

A new book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems. The book’s 14 chapters feature ...

Electromagnetic Spectrum (EMS) operations in contested environments require battlefield assumptions based on mission dependent factors and complex ...

The people closest to the data know the truth: messy, incomplete or poorly governed data cannot support effective AI. Yet ...

The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...

I spent almost two years after I left the Cyber Protection Brigade working on training. Not traditional military training like ranges, land ...