I’m glad to see that the Azure Custom Vision Service is getting some press. It’s an easy and simple way to build your own computer vision models without having to train on thousands (or tens of thousands) of images. In fact, as little as 15 images can yield workable results.

Here’s an article in www.itbusiness.ca about the service.

“Customers can train their own custom image classifiers and object detectors,” said Tina Coll, the product marketing manager at Microsoft Corp. “For example, a company could choose to detect their own logo in the video of a sports event to track the impact of their advertising or a student might want to count the number of animals passing in front of a nature camera.”

As Apache Spark is 10 years old. This article in Analytics India Magazine explores what led to Spark’s widespread adoption and what will keep it going into the future.

Dubbed as the official “in-memory replacement for MapReduce”, the disk-based computational engine is at the heart of early Hadoop clusters. Why Spark took off was because it reflects the changing processing paradigm to a more memory intensive pipeline, so if your cluster has a decent memory and an API simpler than MapReduce, processing in Spark will be faster. The reason why Spark is faster is because most of the operations (including reads) decrease in processing time roughly linearly with the number of machines since it’s all distributed.

In case you hadn’t noticed it, AI is already everywhere, and its influence continues to grow.  While it can be hard for most folks to get their heads around exactly what AI does and how (and why) it can be deployed.

Fortunately, Gizmodo has provided five fun online AI experiments. Best of all, you only need is a web browser and a few minutes to see some of the party tricks AI is already capable of. 

Click here to view original web page at gizmodo.com

Here’s an interesting article on how machine learning can make our healthcare system more efficient and improve patient outcomes.

Health system leaders, whom Mr. Garg has spoken with, estimate more than half of their patient visits are unscheduled, a problem that is not well-understood or analyzed by those outside of the health care industry. While there are tools available to help manage patient information, he’s seen firsthand how staff are too busy to sort through dashboards and extrapolate how to best adapt to the ever-changing environment in front of them. This often results in a frustrated patient experience, exhausted care teams and operational inefficiencies.

Damian sits down with Product Manager Gopinath Chigakkagari to talk about deploying to Azure using GitHub Actions.

In this video, Gopi walks through a deployment process inside GitHub Actions to deploy a containerized application to Azure on a new push to a repository. Along the way, he’ll also show some of the features and advantages of GitHub Actions itself.

Follow Gopi on Twitter: @gopinach
Follow Damian on Twitter: @damovisa

Check out the Azure GitHub Actions at: https://github.com/azure/github-actions
Create a Free Azure Account: https://aka.ms/c9-azurefree

Here’s an interesting piece in Forbes on how AI will transform the way we conduct and audit business.

“One of the best-use cases for AI is to look at information and to identify patterns that stand out,” he says, adding that this applies just as readily to looking for unethical behavior as it does to recognizing cat pictures. “As long as there’s data related to it and you can analyze it at scale, AI can detect anomalies that humans simply can’t.”

Natural Language Processing (NLP) is the field of Artificial Intelligence dedicated to enabling computers to understand and communicate in human language.

NLP is only a few decades old, but we’ve made significant progress in that time.

In this video, Siraj Raval covers how its changed over the years, then how you can easily build an NLP app that can either classify or summarize text.

This is incredibly powerful technology that anyone can freely use.

The worlds of CyberSecurity and AI are colliding. That’s the good news. The bad news is that the world of Cybersecurity and AI are colliding. Bad things could happen when bad actors get their hands on ML.

Artificial intelligence won’t revolutionize anything if hackers can mess with it. That’s the warning from Dawn Song , a professor at UC Berkeley who specializes in studying the security risks involved with AI and machine learning. Speaking at EmTech Digital, an event in San Francisco produced by […]

NB: this article is behind a registration wall. Usually, I avoid posting content from such sites, but this time I made an exception since the content is relevant and worth the hassle.