Focus areas: Blockchain| ML-AI| Data science/Analytics applications |eSports| CRISPR| Design thinking 1. A swarm of 3D printing drones for construction and repair…

When I was in seventh grade, we had to take a class called home ec. Everyone brushed it off as a super easy class. "All you have to do is cook and sew," everyone said. One of our first projects, after learning how sewing machines work, was sewing a pair of pajama pants. You'd think it's a pretty simple process.

I'm reading "Artificial Intelligence -- The Revolution Hasn't Happened Yet" by Berkeley computer science professor Michael I Jordan. It is a quick, light, read but thought provoking. His point is that once the dust settles after the hype around ubiquitous Artificial Intelligence (AI), we'll realize that what is being called AI is less general purpose intelligence than a collection of powerful tools for augmenting human intelligence (e.g., Siri, what he calls intelligence augmentation or IA) and the intelligent infrastructure (II) that makes these tools possible. There are also some good historical anecdotes in the article. Whether or not you agree with Jordan's point in this piece, I'd still encourage you to check out the reading list he's long suggested to his post docs and grad students, it is a gem.

As we have explained on multiple occasions, AI has and will have an impact on many industries. Of course, with this development, the question that all the people working in those industries is the same: "what will happen to my job?" Have you ever ask yourself this question: How will AI affect the demand for human Labor. Do you think AI will decrease human labor? So if foreseeable technologies materialize, then then the need for human labor could decrease. Technology always puts existing jobs under strain.

Among the big fields, A.I. will have a substantial impact on its logistics, and no industry knows how to manage these better than the retail industry. Below is an interesting article showing what a major German retail company is doing in terms of logistics, leading the field and exemplifying real-world A.I. applications. A GLIMPSE into the future of retailing is available in a smallish office in Hamburg. From there, Otto, a German e-commerce merchant, is using artificial intelligence (AI) to improve its activities. The firm is already deploying the technology to make decisions at a scale, speed and accuracy that surpass the capabilities of its human employees.