Please Sign Up for Weekly Newsletter of Beautiful Lands!

Preparatory Division String Camp, June 20-24, Ages 6-9 and 9-12. Registration deadline is May 20th. Preparatory Division, Tanner Dance and Youth Theatre Arts Passport, June 27 - July 1, Create an original performance work to be presented at the Tanner Dance Building. Preparatory Division International Piano Festival, July 26 - July 29, Musicianship, ukulele, and choir classes. University of Utah, School of Music.

Home in Their Eyes: Images and Stories of Home by Residents in Rural China, Friday, March 25 – Thursday, June 2, 2016, J. Willard Marriott Library 3rd Floor

Salt Dance Fest 2016 brings together internationally renowned dance artists and dance makers Jeanine Durning, Alex Ketley and Jennifer Nugent, along with esteemed SLC dance artists Daniel Charon, Molly Heller and Stephen Koester for two weeks of moving, collaborating, dance making and the lively exchange of ideas, June 6-17, 2016.

Summer Chamber Music Workshop, Matt Zalkind, June 26 - 30, 2016, Hasse Borup, Director, Open for serious string and piano players, age 12 - 26,  School of Music, University of Utah

University of Utah Department of Ballet Summer Intensive, June 20 - July 15, 2016. Join us for an exciting four-week ballet intensive with internationally recognized faculty and guest artists.

Performance Calendar of 2015 - 2016 Season, Department of Ballet, University of Utah

Performance Calendar of 2015 - 2016 Season, Department of Modern Dance, University of Utah

Natural History Museum of Utah 2015 Lecture Series

College of Fine Arts, University of Utah

Google's Artificial Intelligence Is Aiming to Count Calories in Food Photos

Whether by accident or design, the details of Google's plans for artificial intelligence (AI) have been elusive. In some cases, there's no real mystery, just nothing all that exciting to talk about. AI technology is the foundation of the company's search engine, and the most obvious reason for Google's high-profile, $400M acquisition of DeepMind in 2014 is to use the UK firm's expertise in deep learning—a subset of AI research, but more on that later—to bolster that core capability. But the Googleplex has absorbed other bright minds from the field of AI, as well as some of the most buzzed-about companies in robotics, with only some of that collective braintrust officially allocated to driverless cars, delivery drones or other publicly announced robotics or AI-related projects. What, exactly, are Google's AI experts up to?

In a word: food.

At this week's Rework Deep Learning Summit in Boston, Google research scientist Kevin Murphy unveiled a project that uses sophisticated deep learning algorithms to analyze a still photo of food, and estimate how many calories are on the plate. It's called Im2Calories, and in one example, the system looked at an image, and counted two eggs, two pancakes and three strips of bacon. Since those aren't exactly universal units of measurement, the system gauged the size of each piece of food, in relation to the plate, as well as any condiments. And Im2Calories doesn't require carefully captured high-res images. Any standard Instagram-quality shot should do.

More Coverage

Posts Archives