The Emergence of AIoT

From the Middle Ages to the early 2020s, we trace the roots of entertainment robots and look at the technologies that make them possible.

In this article, we explore various machine learning applications that can help farmers to increase yield, meet the ever-growing demand for agricultural products, and save the environment.

Public data science projects might be controversial, but they increasingly do more for the society, too. Learn more about the applications of AI for social good.

Since the headline-fueled public failures of AI hold back growth and uptake, it's now vital to formulate new approaches to making machine learning explicable to the public and private sector.

We look at the top machine learning frameworks right now, with both their positive and negative sides to be considered for an AI-centric project.

How can we navigate the AI hype cycle to identify usable real-world machine learning technologies? 

In this article we'll compare Cassandra vs HBase and see which use cases apply for either approach and where each falls short against the other.

In this article we examine the validity of the Spark vs Hadoop argument and take a look at those areas of big data analysis in which the two systems oppose and sometimes complement each other.