What is the difference between Artificial Intelligence, Machine Learning and Deep Learning?

Ever caught yourself wondering what artificial intelligence (AI), machine learning(ML), and deep learning (DL) are and how they are different? Well, let me tell you that you are not alone. These… — Read on medium.com/@anjali.kadiyala1999/what-is-the-difference-between-artificial-intelligence-machine-learning-and-deep-learning-68cf5f3c77f0

The global AI agenda: Asia-Pacific | MIT Technology Review

This report is part of “The global AI agenda,” a thought leadership program by MIT Technology Review Insights examining how organizations are using AI today and planning to do so in the future. Featuring a global survey of 1,004 AI experts conducted in January and February 2020, it explores AI adoption, leading use cases, benefits, and…Continue reading “The global AI agenda: Asia-Pacific | MIT Technology Review”

Tech Trends in Practice: The 25 Technologies that are Driving the 4th Industrial Revolution: Amazon.co.uk: Marr, Bernard: 9781119646198: Books

Buy Tech Trends in Practice: The 25 Technologies that are Driving the 4th Industrial Revolution by Marr, Bernard (ISBN: 9781119646198) from Amazon’s Book Store. Everyday low prices and free delivery on eligible orders. — Read on http://www.amazon.co.uk/Technology-Trends-Practice-Businessby-Success/dp/1119646197/ref=sr_1_1

Top 5 things to know about neuro-symbolic artificial intelligence – TechRepublic

What do you get when you combine neural networks with symbolic AI? The answer is: Neuro-symbolic artificial intelligence. Tom Merritt lists five things you should know about it. — Read on http://www.techrepublic.com/article/top-5-things-to-know-about-neuro-symbolic-artificial-intelligence/

Education Sciences | Free Full-Text | Student Participation in Online Content-Related Discussion and Its Relation to Students’ Background Knowledge

This paper presents two novel network methods developed for education research. These methods were used to investigate online discussions and the structure of students’ background knowledge in a blended university course for pre-service teachers (n = 11). Consequently, these measures were used for correlation analysis. The social network analysis of the online discussions was basedContinue reading “Education Sciences | Free Full-Text | Student Participation in Online Content-Related Discussion and Its Relation to Students’ Background Knowledge”