Jay van Zyl @ ecosystem.Ai

Jay van Zyl @ ecosystem.Ai

How many businesses actually use machine learning? – IDG Coonnect (blog)


IDG Coonnect (blog)

How many businesses actually use machine learning?
IDG Coonnect (blog)
A recent survey by MIT Sloan has shown that less than a third (23 per cent) of businesses have adopted any level of machine learning automation, and of those who have, only five percent are using it extensively. It’s a similar situation with its subset

Logic in modern AI research?

I’m currently trying to formulate a research project as part of my undergraduate graduation requirement. I’ve always had an interest in AI research, and recently I’ve also developed interest in topics related to logic in computation (SAT solvers and such are neat). As such I was hoping to try and develop some sort of project that would explore AI as it relates to logic, but I’ve been having some difficulty finding recent research in such topics.

Is heavy use of logic more or less obsolete in modern AI research? It seems like machine learning is by far the most prominent field of AI research these days, is this just because of all the hype surrounding ML or is it because other approaches have been dead ends?

In the case that trying to come up with a research project relating logic to AI isn’t a dead end; do you have any suggestions of recent literature about logic in AI or useful vocabulary that would help me find such literature? (My knowledge about logic in computer science isn’t very extensive, so I’m suspecting that I just don’t know enough relevant topics/subfields to find relevant research…)

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How to learn ML with no programming experiance

I am currenly studying Civil Engineering, but i want to learn ML because it fascinates me. As a third year eng student, the maths doesnt bother me to much.

I’ve just started working through Automate the Boring Stuff, to learn python. But should i finish this book, or should i just sign up to something like Dataquest and learn as i go? My concern is that it isn’t really aimed at people who want to get into ML so how much of the knowledge is relevant. I also plan on doing Andrew Ng’s course in the future, but just want to get some opinions on the best path to learn and how much conventional programming knowledge is required.

Also what are your thoughts on the MIT 6.001 and 6.002 courses for someone who’s new to programming and interested in machine learning Thanks guys

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Amazon gives AWS customers access to its internal machine learning experts – ZDNet


SiliconANGLE News (blog)

Amazon gives AWS customers access to its internal machine learning experts
ZDNet
Amazon on Wednesday announced the Amazon ML Solutions Lab, a new program that connects Amazon Web Services (AWS) customers with Amazon’s own machine learning experts. Through boot camps, workshops, advisory professional services and …
Amazon advances machine learning with new AI lab, image …SiliconANGLE News (blog)
AWS Announces Amazon Machine Learning Solutions LabMarTech Series
AWS ramps up in AI with new consultancy services and Rekognition …TechCrunch
Computer Business Review –VentureBeat
all 12 news articles »

Interested in a blog about introduction AI?

So I wanted to make a blog where I just post about the things I make and how I made them. I write and try to explain things in a way that is easy for beginners or people who want theory to understand. I try to include lots of pictures of what’s going on and all sorts of eye candy (if I can).

I just want to reach people who are interested in AI like me, and want somewhere to start or break in. It’s small and new, so feedback and a feel for if people are interested at all would be useful! If you know anyone else who would be interested, please send them the link.

https://aienthusiast.wordpress.com/

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Apple could use machine learning to shore up LiDAR limitations in self-driving – TechCrunch


TechCrunch

Apple could use machine learning to shore up LiDAR limitations in self-driving
TechCrunch
Apple has a new paper published in Cornell’s arXiv open directory of scientific research, describing a method for using machine learning to translate the raw point cloud data gathered by LiDAR arrays into results that include detection of 3D objects
Apple’s self-driving car team uses machine learning to get more out of LiDARSiliconANGLE News (blog)
Apple scientists lift the lid on machine learning driverless techComputer Business Review
Apple scientists disclose self-driving car researchReuters
arXiv –BGR.in –Jalopnik
all 90 news articles »