Abstract: The concept of a decentralized smart grid has emerged as a viable approach for efficiently managing and distributing electrical energy. Ensuring the stability and reliability of the grid, ...

However, multi-task learning algorithms are often implemented using methods like stochastic gradient descent, which may suffer from slow ... (SVMs), which tackles federated classification and ...

CTGT, a startup focused on helping enterprise clients train and deploy machine learning models at lower cost, has raised $7.2 million in a funding round led by Gradient Ventures, Google's AI ...

While it’s still not clear why a Delta Air Lines plane from Minneapolis crash-landed at Toronto’s Pearson Airport on Monday, one expert is now questioning the speed of the plane’s descent after ...

Navy TOPGUN graduate and F/A-18 fighter pilot Matthew 'Whiz' Buckley joins "America's Newsroom' to discuss possible causes of the Toronto jet that flipped upon landing.

This C library provides efficient implementations of linear regression algorithms, including support for stochastic gradient descent (SGD) and data normalization techniques. It is designed for easy ...

A next-gen Lagrange-Newton solver for nonconvex constrained optimization. Unifies barrier and SQP methods in a generic way, and implements various globalization flavors (line search/trust region and ...