Abstract: Tiny machine learning (TinyML) is a new frontier of machine learning. By squeezing deep learning models into billions of IoT devices and microcontrollers (MCUs), we expand the scope of ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

The Occupational Safety and Health Administration (OSHA) is the cornerstone of workplace safety in the U.S., creating and ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...

By working to understand how new AI systems integrate flexible and incremental learning, researchers gained insights about ...

Abstract: This paper investigates simultaneous wireless information and power transfer (SWIPT)-enabled cell-free massive multiple-input multiple-output (CF-mMIMO) networks with power splitting (PS) ...

Explain your models with Shapley interactions: Just load your data and model, and then use a shapiq.Explainer to compute Shapley interactions. A handy way of visualizing interaction scores up to order ...

The sharing principle of these references here is for research. If any authors do not want their paper to be listed here, please feel free to contact us. GECCO 2024 Workshop: EGML-EC — 3rd GECCO ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

TL;DR: Find a wide range of free AI courses on Udemy. Take free lessons on ChatGPT, Copilot, DeepSeek, and more. AI is probably going to take over the world. We don't know exactly when, but we feel ...