Daily Magazine

Vriti Saraf maps AI's capabilities across Bloom's Taxonomy to identify where it excels and where the gaps can be found.

Via Tom D'Amico (@TDOttawa)

We’re proud to announce a new addition to the Arduino ecosystem, the Nicla Vision.

This is a brand new, ready-to-use, 2MP standalone camera that lets you analyze and process images on the edge for advanced machine vision and edge computing applications.

Now you can add image detection, facial recognition, automated optical inspection, vehicle plate reading, gesture recognition and more to your projects. Nicla Vision has a powerful dual processor and is packed with features that make an infinite number of applications possible in building and industrial automation, safety and security, and prototyping. Everything from business-savvy predictive maintenance (by detecting and analyzing surface wear, for example) to user-friendly smart kiosks that anyone can explore via intuitive gestures. All true to Nicla’s mission to provide a new range of easy-to-use, cost-effective and accessible tools to advanced users and enthusiasts alike.

 

 

Via Gust MEES

There are millions of surveillance cameras in the U.S., but not nearly enough eyes to watch them all. When you pass one on the street, you can rightly expect your actions to go unnoticed in the moment; footage is instead archived for review if something goes wrong.

Via Farid Mheir

AI As Marketing Gimmick

We agree AI is being used as a gimmick right now. We understand why too. Marketers and marketing love shiny new things. We tend to hop aboard before fully understanding the math. 

 

We have left brain creatives for the most part and so such early hopping is understandable and, to some extent, what we are paid to accomplish. Artificial intelligence (AI) will revolutionize marketing and make even the most creative among us learn some new math. 

We agree with the premise and recommendations here but are more kind in our evaluation of the "why" behind why fellow travelers are gimmickizing AI. 

Via Martin (Marty) Smith

This article was written by Kris Hammond.
This is an invitation to collaborate. In particular, it is an invitation to collaborate in framing how we look at and…

Via Elizabeth E Charles, Mark E. Deschaine, PhD

Via Eric_Determined / Eric Silverstein, Nicholas Bodell, malek

In a jaw-dropping feat of engineering, electronics turn a person's thoughts into commands for a robot. Using a brain-computer interface technology pioneered by University of Minnesota biomedical engineering professor Bin He, several young people have learned to use their thoughts to steer a flying robot around a gym, making it turn, rise, dip, and even sail through a ring.

The technology may someday allow people robbed of speech and mobility by neurodegenerative diseases to regain function by controlling artificial limbs, wheelchairs, or other devices. And it's completely noninvasive: Brain waves (EEG) are picked up by the electrodes of an EEG cap on the scalp, not a chip implanted in the brain.

Via Szabolcs Kósa, Dr. Stefan Gruenwald

Digitalization and automation should not be seen as a way to replace humans. It is about bringing out the best in humanity, in concert with machines and algorithms.

Via JC Gaillard

The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence. Its mission is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI. The report aims to be the world’s most credible and authoritative source for data and insights about AI.

Via Farid Mheir

Use the 2019 Gartner Hype Cycle for Digital Marketing and Advertising to prioritize your marketing technology investments.

Via Farid Mheir

More than 1,300 people mainly working in the tech, finance and healthcare revealed which machine-learning technologies they use at their firms, in a new O'Reilly survey.

Via Farid Mheir

Over the past several years, artificial intelligence transitioned from the movie screen to reality, and soon it will be everywhere.

The ubiquity of AI across industries leads to two key points for K–12 schools. 

First, K–12 schools should use current AI solutions to help with everything from classroom performance to network safety and monitoring. Second, students need to start learning how to design, manipulate and work alongside AI machines in order to build the foundation they need as they prepare to enter the workplace.

Organizing a successful AI integration and education plan will take collaboration and proper planning on the part of school decision-makers.

“AI may hold the potential to personalize instruction and learning. Yet its use in educational settings will require educators and school leaders to develop an understanding of how it can be implemented safely and smartly,” Keith Krueger, CEO of the Consortium for School Networking said in a recent statement. 

Via John Evans

In this article, we cover a variety of examples in which AI is being integrated in the retail industry, broken down into the following sub-categories: Sales and CRM Applications, Customer Recommendations, Manufacturing, Logistics and Delivery, Payments and Payment Services

Via Farid Mheir

The dichotomy between machines and living things is narrowing.

Via paul rayner, Sarantis Chelmis

Via Gust MEES, Andreas Christodoulou

Half a decade ago, Jonathan Heiliger compared the world of Internet data centers to Fight Club.

It was the spring of 2011, and the giants of the Internet—including Google, Amazon, and Microsoft—were erecting a new kind of data center. Their online empires had grown so large that they could no longer rely on typical hardware from the likes of Dell, HP, and IBM. They needed hardware that was cheaper, more streamlined, and more malleable. So, behind the scenes, they designed this hardware from scratch and had it manufactured through little-known companies in Asia.

This shadow hardware market was rarely discussed in public. Companies like Google saw their latest data center hardware as a competitive advantage best kept secret from rivals. But then Facebook tore off the veil. It open sourced its latest server and data center designs, freely sharing them with the world under the aegis of a new organization called the Open Compute Project. “It’s time to stop treating data center design like Fight Club and demystify the way these things are built,” said Heiliger, then the vice president of technical operations at Facebook. 

Google was the first company to rethink data center design for the modern age.

With the Open Compute Project, Facebook aimed to create a whole community of companies that would freely share their data center designs, hoping to accelerate the evolution of Internet hardware and, thanks to the economies of scale, drive down the cost of this hardware. That, among other things, boosts the Facebook bottom line. It worked—in a very big way. Microsoft soon shared its designs too. Companies like HP and Quanta began selling this new breed of streamlined gear. And businesses as diverse as Rackspace and Goldman Sachs used this hardware to expand their own massive online operations. Even Apple—that bastion of secrecy—eventually joined the project.

Two big holdouts remained: Google and Amazon. But today, that number dropped to one. At the annual Open Compute Summit in San Jose, California, Google announced that it too has joined the project. And it’s already working with Facebook on a new piece of open source hardware.

Via Philippe J DEWOST