In this project, we develop an algorithm that takes in an image and identifies if contains a dog or a human. If it does contain either a dog or a human, the algorithm will classify the dog's breed or the dog breed that closely resembles that human. This problem falls under the popular category of computer vision. To solve these problems we will be using machine learning methods. We will look at a couple of different methods for each problem and identify which is better. We will also focus on the dog breed classifier and use off-the-shelf tools for the human and dog detectors.

We've seen AI--more specifically, machine learning--do some creepy things with faces, as well as some groundbreaking things with viruses. But it can still be applied to random, fun stuff, like sorting LEGO. Or, as YouTuber Ryder Calm Down shows here, complimenting passing dogs. Because the world is full of really good pooches and they should know it! Gizmodo picked up on the above video, which the Canadian YouTuber and software engineer recently posted to his channel.

Research papers come out at far too rapid a rate for anyone to read them all, especially in the field of machine learning, which now affects (and produces papers in) practically every industry and company. This column aims to collect the most relevant recent discoveries and papers, particularly in but not limited to artificial intelligence, and explain why they matter. This week in Deep Science spans the stars all the way down to human anatomy, with research concerning exoplanets and Mars exploration, as well as understanding the subtlest habits and most hidden parts of the body. Let's proceed in order of distance from Earth. First is the confirmation of 50 new exoplanets by researchers at the University of Warwick.