My 35-year career is a tale of two worlds in the same city. The first half of my career was spent in the environmental policy arena, in both the public and private sectors, while the second half has been in the technology industry. I started my career at the White...
ABSTRACT Abstract— In collaboration with Lumina AI, this research discusses the effectiveness of Random Contrast Learning (Lumina RCL) on a variety of tabular datasets in comparison to more traditional methods of machine learning. It describes how well Lumina RCL...
Advancements in Autonomous Driving with Lumina AI’s Random Contrast Learning Lumina AI has demonstrated its potential for groundbreaking advancement in the domain of autonomous driving. To evaluate our performance, we have rigorously compared Lumina’s...
ABSTRACT Abstract—In collaboration with Lumina AI, this paper highlights the effectiveness of the Lumina RCL model in text classification. We evaluate three diverse and challenging datasets, comparing Lumina RCL’s performance against traditional machine learning...
1. INTRODUCTION AND BACKGROUND Although Deep Learning has enjoyed tremendous success and growth in recentyears, it continues to be costly and time consuming. Computations in deep learning are so intensive that a suite of hardware processors has been adapted or...
Important PrismRCL Update: Model Compatibility and Dual Version Support - Retain your existing models and explore 2.4.x features! Learn more about your options.