AI-powered software platform signed to license agreement with NASA – Military Embedded Systems

Summary: A study demonstrates that learning in neural networks is driven primarily by adjusting the strength of existing connections rather than by continuously expanding or reconfiguring underlying network architecture. The research team evaluated artificial neural networks trained on language-learning tasks across increasing volumes of training data. Despite marked improvements in performance, the trained networks maintained

Connecting user search intent with relevant ad experiences across channels is a longstanding challenge in digital advertising. Advertisers need sophisticated ways to reach audiences based on their demonstrated interests and behaviors, particularly their search activity, which is one of the strongest signals of user intent. Traditional keyword expansion approaches often struggle with outdated vocabulary, limited

Without the ability to track machine learning (ML) model prediction quality, organizations only realize they have issues when their customers complain or when they conduct spot checks, which jeopardizes customer trust. This post introduces inference meta-monitoring for Amazon SageMaker AI endpoints. It provides a governance layer that sits above production ML inference pipelines to continuously