Agnik, the global leader of the vehicle analytics market, announced today that it is going to offer a wide range of Deep Machine Learning-based solutions for powering its new and existing products in ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

Oklahoma DHS needs to seek alternative funding solutions. Eliminating access to safe, licensed child care is not the answer.

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

Abstract: The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL), underscores the critical need for a paradigm shift towards ...

Abstract: Distributed acoustic sensing (DAS) has emerged as a widely used technology in various applications, including borehole microseismic monitoring, active source exploration, and ambient noise ...

I’ve put over 200 km (125 miles) on Tesla’s latest ‘Full Self-Driving Supervised’ (FSD) v14 update, and I’ve gathered my thoughts in this article. In short, Tesla FSD v14 is an incremental improvement ...

A Tesla robotaxi with safety driver (Tesla calls them a monitor) in the Austin deployment. Posters and reported a few sightings of Tesla robotaxis in Austin, TX operating with nobody in them, neither ...

Recently unsupervised learning of depth from videos has made remarkable progress and the results are comparable to fully supervised methods in outdoor scenes like KITTI. However, there still exist ...