In fact, many of the software challenges organizations face today can be solved by traditional machine learning (ML ... Enhancing network security by analyzing IP addresses and blocking users ...

The patents at issue can be divided into two categories: network maps and machine learning training ... that claimed “only generic and conventional computing devices.” The court denied ...

Instrumenting these systems and then applying machine learning might yield insight that could allow us to do enterprise architecture ... Valley and into more traditional organizations and then ...

According to Goetz, "The way that you imagine, or envision, design, develop, roll out, and then run an AI capability, is not in a traditional ... use machine learning. Data architecture applies ...

Neural architecture search promises to speed up the process of finding neural network ... transfer learning, and hyperparameter optimization. It’s probably the hardest machine learning problem ...

GraphCast utilizes what researchers call a "graph neural network" machine-learning architecture ... Google's machine learning method contrasts with conventional numerical weather prediction ...