Quartz takes a look at an old technology resurrected to help with the flood of big data organizations like CERN have.
Joma Tech explores the top 3 programming languages to learn in 2019.
The Verge explores AI’s biggest open secret: that a lot of training data comes from human beings, either it’s contract workers recruited from Amazon’s Mechanical Turk or regular people filling out a CAPTCHA.
CNBC has a look at the Waldorf School where technology is not ever present in the classroom – an idea which runs counter to the prevailing philosophy that more tech equates to better education.
The Waldorf teaching philosophy is used at more than 1,000 institutions in 91 countries, including 136 schools in the U.S. Technology and screens aren’t used at all through 8th grade, and are scarce even in high school. CNBC gets an inside look at what it is like.
AI is the wonder of our age and the hottest tech of the 2010s, but does it hurt the environment?
For Emma Strubell, the lead author behind the paper, the most shocking discovery of the research was when she analyzed one of the recent models she designed as part of her PhD work at University of Massachusetts Amherst. While the algorithm’s carbon footprint–78,468 pounds of carbon dioxide–wasn’t quite as big as some of the others she assessed in the paper, it still was similar in size to the carbon dioxide that the average American emits in two years.
Every since getting into Data Science, I have been fascinated with the idea of exploring data in higher dimensions. Actually, this fascination dates back to a lecture in college on data structures, where the professor talked about visualizing five dimensional arrays. What does this space look like? Are we capable of even imagining such spaces?
Just over two years ago, The Met launched an Open Access Program seeking to make the images and data of public-domain works in the museum’s collection available under an open data promise.
The program fills an important role in The Met’s mission to broaden global reach by making the museum’s collection one of the most accessible, discoverable, and useful on the internet. See how The Met is now working to generate new knowledge about each artwork at scale and uncover latent insights with AI.
I’ll never forget the time I first heard of non-Euclidean spaces. It made sense and no-sense all at the same time. Since making the switch into data science, I understood it better and its uses. However, I never really tried to visualize these spaces.
Fortunately(?), someone has created a rendering engine that lets you explore this space and surprise(!), it may have uses for VR.
In this DataPoint, Frank discovers that Chuck E. Cheese is tracking game playing statistics with the use of RFID cards and how to look up your own data with their in store kiosks.
Press the play button below to listen here or visit the show page at DataDriven.tv