• Stephen Wolfram introduces the Wolfram Language
    Given all the buzz around cloud computing, the Wolfram Language could potentially have a big impact on programming and how we process data.For image processing and computer vision applications, the...

Ear as a biometric for historical sculptures

As some studies suggest, the outer ear may prove to be one of the most accurate and least intrusive ways to identify people. In a pilot study, a team of researchers from the University College London modeled the faces of 30 warriors and found that no two ears were identical.

One Hundred Billion Frames per Second

A group of physicists and photographic experts from Washington University in St. Louis, Missouri have developed a photographic system that increases the number of photos per second that can be recorded in a moving object to 1011 pictures per second.

Computers Catching Up To Humans Faster Than Thought

The computer versus the human mind will always be a question on the forefront of the news. The ultimate goals for these that push the computer brain further and faster are to replace a human at a specific task.

Turning visual information into sound

A group of researchers at Adobe, Microsoft, and MIT have taken normal objects and turned them into visual microphones. They discovered they can reproduce audio from silent video recordings by studying the movement of objects affected by sound waves traveling through the air.

There Are Big Advances In Image Recognition

The increase in accuracy in image recognition was seen at this year’s ImageNet Large Scale Visual Recognition Challenge (ILSVRC2014). The academic contest has been run annually since 2010, this year attracting thirty eight participants from thirteen different countries.

Never Ending Image Learner

Never Ending Image Learner (NEIL) is a computer program that works 24/7 learning information about images that it finds on the internet. NEIL, which is housed at Carnegie Mellon University, is not looking for just any type of information. Rather, it’s goal is to learn common sense relationships found in everyday life.