Even before there were digital images and image editing software, graphic artists had an occasional need to extract an arbitrary shape (such as the outline of a human subject) from an image so that it could be placed in other images. In the days of chemical photography, this involved complex darkroom techniques or even painstakingly cutting things out of paper prints with scissors. Imagine fitting that into your schedule these days!
A long time ago, in a galaxy far, far away, the inhabitants had access to advanced medical care provided by robots. The Star Wars medical droids had the ability to diagnose and treat their patients with extraordinary knowledge and numerous built-in surgical tools. They had extra added bonus skills in reasoning and communication with their patients—any species from any planet speaking any language. Their bedside manner was, of course, impeccable.
You’ve read a number of articles in this space about different types of machine learning, with a high-level view of how they work and the types of technologies that machine learning will enable in the future. “But,” you’re thinking, “What are some of the ways machine learning is being applied right now, to do useful work outside the laboratory?”
Lately the term "Machine Learning" gets kicked around like a hackysack in a stoners basement. It's becoming a ubiquitous buzzword because it really is exciting technology that's finally making its way into our lives, but a large majority of the buzz is nothing more than lazy marketing. Apple is one of the tech giants that's bringing machine learning into the mainstream in effective and even mindblowing ways.
As the Summer of 2017 comes to a seemingly abrupt halt, my time at AndPlus is over... for now at least! For the past three months I have been an Intern working on machine learning, computer vision and artificial intelligence research. Throughout this experience I’ve had the chance to work on various machine learning projects with a number of full time employees here at AndPlus.
We did it! After a summer of filling up every whiteboard in the building with linear algebra, matrices and illegible scribble, our first machine learning paper is DONE!
The Innovation Lab team at AndPlus consists of any employee who wants to create software with up and coming tech. We primarily focus on machine learning, artificial intelligence and computer vision. Andrew Huang, Hirsh Agarwal, and Abdul Dremali (me!) have taken the resources provided by AndPlus and published our very first paper.