Jay van Zyl @ ecosystem.Ai

Jay van Zyl @ ecosystem.Ai

Women Seen Making Inroads into AI Development in 2018

Let’s make one thing clear: one year isn’t going to fix decades of gender discrimination in computer science and all the problems associated with it. Recent diversity reports show that women still make up only 20 percent of engineers at Google and Facebook, and an even lower proportion at Uber. But after the parade of awful news about the […]

Here is a Non-Technical Introduction to Machine Learning

Machine learning is a field that threatens to both augment and undermine exactly what it means to be human, and it’s becoming increasingly important that you—yes, you—actually understand it. I don’t think you should need to have a technical background to know what machine learning is or how it’s done. Too much of the discussion about […]

A day in the life of the average person in 2038, when artificial intelligence will grant everyone services currently … – Business Insider


Business Insider

A day in the life of the average person in 2038, when artificial intelligence will grant everyone services currently …
Business Insider
Microsoft president Brad Smith and EVP of AI and research Harry Shum have a new book about artificial intelligence called “The Future Computed.” In it, they outline Microsoft’s predictions and policy proposals around AI development. Shum told Business
New Microsoft book is calling for ethics guidelines on AIBT.com

all 12 news articles »

Artificial Intelligence Will Make Marketers Even Smarter In 2018 – Forbes


Forbes

Artificial Intelligence Will Make Marketers Even Smarter In 2018
Forbes
That’s why artificial intelligence scares us so much. It’s new and unfamiliar. Knowing that someone out in cyberspace learned something about the items we need and the services that we buy makes our palms sweat and our hearts race with fear and

and more »

How SAP Is Utilizing Machine Learning For Its Enterprise Applications – Forbes


Forbes

How SAP Is Utilizing Machine Learning For Its Enterprise Applications
Forbes
Markus Noga, SAP’s Head of Machine Learning, told me that SAP Leonardo was introduced on January 11, 2017 and was extended to include SAP’s entire digitization efforts with a machine learning foundation at SAP’s SAPPHIRE event in May of 2017. “SAP

Machine Learning and Artificial Intelligence – Two Conferences to Attend in 2018 – InfoQ.com

Machine Learning and Artificial Intelligence – Two Conferences to Attend in 2018InfoQ.comFor more in-depth exploration on deep learning and the trends around AI and ML, two upcoming software conferences hosted by InfoQ feature deep learning, innovative…

3 Companies Using Artificial Intelligence to Their Advantage – Motley Fool

3 Companies Using Artificial Intelligence to Their Advantage
Motley Fool
Artificial intelligence (AI) is already impacting our lives in many ways. From intelligent video curation on Alphabet’s (NASDAQ:GOOG) (NASDAQ:GOOGL) YouTube and Google web search to Apple’s (NASDAQ:AAPL) Siri personal assistant, AI is already making

and more »

10 Artificial Intelligence Trends to Watch in 2018 – Entrepreneur

Entrepreneur10 Artificial Intelligence Trends to Watch in 2018EntrepreneurArtificial intelligence (AI) is the new technological frontier over which companies and countries are vying for control. According to a recent report from McKinsey, Alphabet inve…

Scaling Kubernetes to 2,500 Nodes

We’ve been running Kubernetes for deep learning research for over two years. While our largest-scale workloads manage bare cloud VMs directly, Kubernetes provides a fast iteration cycle, reasonable scalability, and a lack of boilerplate which makes it ideal for most of our experiments. We now operate several Kubernetes clusters (some

How Fast Is AI Progressing? Stanford’s New Report Card for Artificial Intelligence – Singularity Hub


Singularity Hub

How Fast Is AI Progressing? Stanford’s New Report Card for Artificial Intelligence
Singularity Hub
When? This is probably the question that futurists, AI experts, and even people with a keen interest in technology dread the most. It has proved famously difficult to predict when new developments in AI will take place. The scientists at the Dartmouth