The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published ...

AI requires a lot of data, particularly for training models. The problem is that planar chips are unable to process all that ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

SEE: How to Measure Data Quality (TechRepublic) Popular predictive analytics tools Tools can range from no-code platforms and data lakes to machine learning algorithm libraries.

The conventional data anomaly detection structure is mostly single target execution, and the detection efficiency is relatively low, resulting in an increase in the final false detection rate.