Parameter Sharing: The use of convolutional layers means that parameters ... The FCNet’s fully connected layers were sufficient to model the data. Model Complexity: The FCNet's architecture is ...

Diagrammatic overview of the AI development pipeline – from data collection and model architecture selection to training, validation, and real-world deployment. Image generated using ... systems, ...

Leading with predictive analytics and AI requires leadership that is comfortable asking uncomfortable questions.

companies need to improve how they use their data, harmonize it and implement AI and predictive analytics as a native foundation of their digital architecture. Then they can aim and fire darts ...

AI that anticipates where crimes are likely to occur and who might commit them has a troubling track record. Democratic ...

Eric D. Boyd of responsiveX previews his VSLive! 2025 session at Microsoft HQ in August where he explains how Azure ML ...

Applied Analytics alumnus Cristian Leo speaks on the value of the program’s new Emerging Technologies Analytics concentration ...

While the CTM shows strong promise, it is still primarily a research architecture and is not yet production-ready out of the ...

Why Construction Safety Needs a Data Upgrade Now Every workday, an average of three construction workers in the United States don’t make it home. In 2023 the industry logged roughly 1,075 on-site ...

Detroit automakers use ... and use the data for analysis and business planning. A data engineer ensures the quality and efficiency of the data infrastructure and they are adept at gathering ...