Can robots see as well as humans? That’s a question the biggest companies around are trying to answer. Late last year, Facebook created a new artificial intelligence research lab that will help bolster its facial recognition technology, among other areas. Amazon revealed its plans for autonomous drone delivery to great fanfare. And Google is hard at work developing its self-driving car that can detect hundreds of distinct objects simultaneously.
The race to give computing products as close to a human brain as possible (or even one that exceeds our intellect) will only increase in intensity as companies seek to make technology our constant, self-aware companion and benefit from the accompanying data.
Let’s examine the state of artificial intelligence through the lens of deep learning and see how we’re doing and whether we’re close to Skynet.
Deep Learning Approaches to AI
Deep learning is an AI approach that has particularly fascinated me and is becoming more mainstream with the availability of more powerful computing systems and richer sets of data. Pioneered in the 1980s, the approach allows computing devices to teach themselves to recognize patterns by analyzing massive quantities of data.