Artificial Intelligence and Machine Learning are two of some of the most commonly uttered buzzwords in tech circles; while the former is familiar to a layman, thanks to the deluge of science fiction movies and books that have become a part of our pop-culture, the latter is something of a jargon. Although, both Artificial Intelligence (AI) and Machine Learning (ML) are closely associated terms and are often used interchangeably, there exist distinct differences. For a quick overview of its history, the idea of a machine doing human's work has existed for millennia, beginning from mythologies (Talos of Crete). The earliest European computers were modelled as logical machines that mimicked a human brain. Since then, technology and computers have come a long way.

Decoding of the human genome still poses puzzles that might be solved with the help of artificial intelligence.

LONG BEACH, CALIFORNIA--Every time you talk, your body moves in sync, whether it's something as subtle as eyes widening or more extreme movements like flailing arms. Now, researchers have designed an artificial intelligence that knows how you're going to move based purely on the sound of your voice. Researchers collected 144 hours of video of 10 people speaking, including a nun, a chemistry teacher, and five TV show hosts (Conan O'Brien, Ellen DeGeneres, John Oliver, Jon Stewart, and Seth Meyers). They used an existing algorithm to produce skeletal figures representing the positions of the speakers' arms and hands. They then trained their own algorithm with the data, so it would predict gestures based on fresh audio of the speakers.

This paper studies recommender systems with knowledge graphs, which can effectively address the problems of data sparsity and cold start. Recently, a variety of methods have been developed for this problem, which generally try to learn effective representations of users and items and then match items to users according to their representations. Though these methods have been shown quite effective, they lack good explanations, which are critical to recommender systems. In this paper, we take a different path and propose generating recommendations by finding meaningful paths from users to items. Specifically, we formulate the problem as a sequential decision process, where the target user is defined as the initial state, and the walks on the graphs are defined as actions. We shape the rewards according to existing state-of-the-art methods and then train a policy function with policy gradient methods. Experimental results on three real-world datasets show that our proposed method not only provides effective recommendations but also offers good explanations .

All those topics have made headlines this year--in Education Week and elsewhere--and all of them are splashed over the agenda of the country's largest education technology conference, which kicks off in Philadelphia this weekend. The International Society for Technology in Education will draw thousands of teachers, school administrators, and researchers from across the world, not to mention the dozens of ed-tech companies hungry for a piece of the K-12 market. Ben Herold, an ISTE veteran, will be moderating a panel on meeting the ed tech needs of extraordinary students. And I'll be at ISTE for the first time! Follow me on Twitter at @AlysonRKlein.

Summer is coming, and like a lot of parents I'm looking for fun and affordable summer activities to keep my seven and nine-year-old sons occupied. I'm especially interested in activities that get them outside, make them think, or simply get them away from their screens. While I'm sure there will be plenty of hours spent playing video games and watching YouTube Kids, I'm hoping to keep my kids engaged with a variety of fun and affordable summertime activities. Here are 10 of our favorite summertime activities that will get your kids outside and off their devices. Gardening is a healthy and pleasurable hobby whether you live in the country or in a suburban neighborhood.

At the end of January 2019, it suddenly dawned on me that my understanding of artificial intelligence was insufficient. It is increasingly impacting our every day. AI defends our inboxes from spam, it powers weather updates from Alexa, it enables Amazon to recommend a purchase or Netflix to suggest a movie. Every time we open Twitter or Facebook, it's human versus an AI that knows us better than we know ourselves. Yet here I was -- a professed technologist with so little awareness of what AI actually is.

"Machine Learning: Living in the Age of AI," examines the extraordinary ways in which people are interacting with AI today. Hobbyists and teenagers are now developing tech powered by machine learning and WIRED shows the impacts of AI on schoolchildren and farmers and senior citizens, as well as looking at the implications that rapidly accelerating technology can have. The film was directed by filmmaker Chris Cannucciari, produced by WIRED, and supported by McCann Worldgroup. Still haven't subscribed to WIRED on YouTube? http://wrd.cm/15fP7B7 Here you can find your favorite WIRED shows and new episodes of our latest hit series Tradecraft.