Is this a new mailing list? Interesting collection of links.
Source: The AI black box – Machine Learnings
this microsite is intended to help newcomers (both non-technical and technical) begin exploring what’s possible with AI.
No, Part Three: Roles and Responsibilities.
I’m trying to reconcile this with the degree to which current AI/ML is so experimental, and iterative in understanding what’s possible.
Source: Should Designers Code??? – Alan Cooper – Medium
Change is inevitable, says the chess grandmaster, and we should speed up our search for the edge of human potential.
“Let’s look at this historical process. Machines that replace manual labor, they have allowed us to focus on developing our minds. More intelligent machines, I understand that they will take over more menial aspects of cognition and will elevate our lives towards curiosity, creativity, beauty, joy, you can continue this line.”
Source: Garry Kasparov on AI, Chess, and the Future of Creativity
There are a lot of people talking about AI, machine learning and deep learning right now. And unfortunately it seems like only half of them know what they talk about and don’t only use the words because it’s a trendy topic.
If you are lost in all the buzz-words (like I was a few months ago) and are not so much into reading (like me), here’s a very short introduction and a list of good videos to get started and learn what these topics are all about.
Source: Videos to learn about AI, Machine Learning & Deep Learning
Advances in narrow artificial intelligence make possible agentive systems that do things directly for their users (like, say, an automatic pet feeder). They deliver on the promise of user-centered design, but present fresh challenges in understanding their unique promises and pitfalls. Designing Agentive Technology provides both a conceptual grounding and practical advice to unlock agentive … Continued
Source: Designing Agentive Technology – Rosenfeld Media
These two female technologists discuss the promises of artificial intelligence — and how to diversify the field.
Source: Melinda Gates and Fei-Fei Li Want to Liberate AI from “Guys With Hoodies”
Here are six areas of AI that are particularly noteworthy in their ability to impact the future of digital products and services. I describe what they are, why they are important, how they are being used today and include a list (by no means exhaustive) of companies and researchers working on these technologies.
Source: 6 areas of AI and machine learning to watch closely