Nearly a year ago, China’s top AI scientists gathered in Suzhou for the annual Wu Wenjun AI Science and Technology Award ceremony.

Despite that fact that they had every reason to feel good about China’s accomplishments in AI, the mood was rather gloomy.

More than two years after the release of the New Generation Artificial Intelligence Development Plan (AIDP), China’s top AI experts worry that Beijing’s AI push will not live up to the hype.

The concern is not just that China might be in for an “AI winter”—a cyclic downturn in AI funding and interest due to overly zealous expectations. It’s also that for all China’s strides in AI, from multi-billion dollar unicorns to a glitzy state plan, it still lacks a solid, independent base in the field’s foundational technologies.

Here’s a great example of how AI, drones, and autonomous technologies can drastically improve people’s lives and safety in the aftermath of a disaster.

An open-source disaster response tool that uses visual recognition and learns through artificial intelligence and cloud tools began as an idea that a self-taught developer had at IBM’s Call for Code hackathon in Puerto Rico last year. IBM announced DroneAid on Oct. 2 as an open-source project through Code […]

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?