Model Airplanes

SEA takes Learning to the skies

Created on Saturday, 20 June 2015

Written by HALEY COOPER

Summer learning came to life for students from all over the county who participated this week in the Summer Enrichment Academy hosted at Bellefontaine High School.

Among the new classes offered this year was

Article source: http://www.examiner.org/news/51003-sea-takes-learning-to-the-skies

Whether or not you think face recognition technology is creepy, it’s clear that tech companies around the world are continuing to invest in building better imaging intelligence.

From Microsoft’s How Old Bot to Facebook’s newest app that browses your phone’s gallery for photos of your friends and IKEA’s catalog of computer-generated images, tech in the photography realm is getting smarter than ever – and with Facebook’s latest research development, it’s about to get that much harder to tell photos apart from what’s real and fake.

Yesterday, the folks at Facebook’s Research team released a study which highlights its artificial intelligence robot that can generate photographs by looking at pictures of various things and learning its appearances. It’s similar to how humans learn to perceive objects – for example, once you’ve seen an airplane, you’re able to recognize other airplanes pretty easily.

In the experiment, Facebook’s AI robot was able to auto-generate 64 x 64 pixel photos that displayed a scene that was life-like enough to convince nearly half of the volunteers they were real.

“Around 40 percent of the samples generated by our class conditional LAPGAN model are realistic enough to fool a human into thinking they are real images,” the research states.

The AI robot works in two parts: One neural network generates an image based on a random vector, while a second network analyzes the produced photo for realism. Over time, the team plans to let the bot create larger images with higher accuracy.

Google is

Article source: http://thenextweb.com/facebook/2015/06/20/facebook-photo-overlord/

Bullets pelt the armored plating of the Mine-Resistant Ambush Protected (MRAP) vehicle as insurgents surround the small convoy. A rocket-propelled grenade ravages the lead vehicle, forcing the occupants to dive for cover from the flames and shrapnel. The convoy is outgunned and outnumbered by the well-coordinated insurgent attack. The Joint Terminal Attack Controller is unavailable and no one can precisely locate the enemy. Fast moving fighters soar past but cannot identify enemy targets. So the pilots come low into the valley to provide a show of force until a lucky burst from an insurgent machinegun hits a wing and causes the fighter pilot to crash. A more proficient pilot might have coaxed the damaged plane home but reduced flight hours have reduced pilot proficiency overall and especially on Close Air Support (CAS) — a second priority. The bombers fly circles overhead with 40,000 pounds of bombs hoping someone will provide the enemy’s location before they get danger close to the MRAP. Unfortunately, coordinates never arrive and the enemy kills half the convoy and spirits equipment and prisoners into caves, securing a great propaganda victory.

The above vignette is more true to a likely combat scenario than the one that opened a recent War on the Rocks article by Derek O’Malley and Andrew Hill on the future of close air support (CAS). Air Force fighters and bombers provided great support to ground forces in their vignette. Unfortunately, there are many situations where only

Article source: http://warontherocks.com/2015/06/the-future-of-close-air-support-is-not-what-the-air-force-thinks/