Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

We usually don’t expect the image of a teacup to turn into a cat when we zoom out. But in the world of artificial intelligence research, strange things can happen. Researchers at Germany’s Technische ...

Video scaling is an increasingly common function used to convert images of one resolution and aspect ratio to another “target” resolution and/or aspect ratio. The most familiar example of video ...

In this video from the MVAPICH User Group, Abhinav Vishnu from PNNL presents: Scaling Deep Learning Algorithms on Extreme Scale Architectures. “Deep Learning (DL) is ubiquitous. Yet leveraging ...

This paper introduces a new class of quasi-Newton algorithms for unconstrained minimization in which no line search is necessary and the inverse Hessian approximations are positive definite. These ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...