insideHPC

The Difference between AI, Machine Learning and Deep Learning

With all the quickly evolving nomenclature in the industry today, it’s important to be able to differentiate between AI, machine learning and deep learning. The simplest way to think of their ...
Forbes

A Deep Dive Into Artificial Intelligence And Its Applications

Artificial intelligence is simply how to let machines or computers do things intelligently like people. AI has a pro over human intelligence, and that is because AI is more lasting, more constant, ...
insideHPC

Best of arXiv.org for AI, Machine Learning, and Deep Learning – April 2018

In this recurring monthly feature, we filter recent research papers appearing on the arXiv.org preprint server for compelling subjects relating to AI, machine learning and deep learning – from ...
eWeek

The Pros and Cons of Deep Learning

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...
KXAN

Bhusan Chettri's Launched Tutorials Series of AI, Machine Learning, Deep Learning and Their Interpretability

Dr Bhusan Chettri who earned his PhD from Queen Mary University of London aims at providing an overview of Machine Learning and AI interpretability. LONDON, UNITED ...
Analytics Insight

Best University-Level AI Courses on YouTube (Full Playlists)

Overview: Free university playlists offer clear and accessible AI lessons backed by real classroom teaching.Videos explain ...
mccormick.northwestern.edu

Exploring the Connections Among Machine Learning, Interpretability, and Logic

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...