Abstract: As an emerging machine learning task, high-dimensional hyperparameter optimization (HO) aims at enhancing traditional deep learning models by simultaneously optimizing the neural networks’ ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

When Nick Watkins was a child, he pasted articles about space exploration into scrapbooks and drew annotated diagrams of rockets. He knew this because, years later, he still had the scrapbooks, and ...

Abstract: The sparse iterative covariance-based estimation (SPICE) algorithm is promising for hyperparameter-free sparse source location for time-division-multiplexing multiple-input–multiple-output ...

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

For some believers in manifestation, vision boards have become a little like movie trailers, as brought to you by A.I. By Alyson Krueger Sharon Melzer, 24, has long believed in manifestation, or the ...

Understanding your business data shouldn’t be a one-time effort, it should be part of your everyday decision-making flow. With Visualize with Copilot, we introduced a faster way to uncover insights ...

Thanks for your excellent work. Do you have any suggestions on how to visualize the example motion files (e.g. Bruce_Lee_pose.pkl)? I tried with python smpl_render.py ...

Some people can't form mental images. Here's what scientists are learning about the condition known as aphantasia—and why it's less rare than you think. The "apple test"—asking participants to close ...