Discover what black box models are, their applications in finance and investing, and examples of how they drive ...

Chances are, unless you're already deep into AI programming, you've never heard of Model Context Protocol (MCP). But, trust me, you will. MCP is rapidly emerging as a foundational standard for the ...

Researchers can watch AI’s poisoning in action. For instance, start with a language model trained on human-produced data. Use the model to generate some AI output.

Data-driven: Uses historical data to determine the attribution credit. The model will shift depending on the unique path.

In conclusion, organic training data leads to healthier models. With these areas to look out for, you should be well on your way to training a strong ML model.

Data modeling is an important part of business intelligence that requires the support of skilled professionals. Learn more about what they do.

Regardless of what data model (s) you choose to bring into your company’s data strategy, it’s important to have the right people and processes in place to make these models work.

A Covid-19 restrictions sign hangs outside a supermarket in Austin, Texas. Lauren Ancel Meyers at the University of Texas at Austin has shared her team’s modeling results with city officials who ...

Data modeling has always been a task that seems positioned in the middle of a white-water rapids with a paddle but no canoe. On one side of the data modeling rapids are the raging agilists who are ...