Yo CEO, want to learn deep learning? Should you? It’s clear that machine intelligence and deep learning will impact the future of many organisations, if not all of them. We’re maybe not able to predict exactly how this will play out. Self driving cars, robots as a call center agent, Watson giving medical advise… they are only a few examples. All have the potential to disrupt your market completely. So if you can spare 40 minutes of your time, you can watch this recent talk by Jürgen Schmidhuber at the Deep Learning in Action talk series. Be warned. It’s quite a techie talk. But it will give you a good understanding of how deep learn works and explains the historical context. Working on your tech-savviness is probably on your agenda for 2016 anyway. So let’s start.
Since age 15 or so, Prof. Jürgen Schmidhuber’s main scientific ambition has been to build a self-improving Artificial Intelligence (AI) smarter than himself, then retire. He has pioneered self-improving general problem solvers since 1987, and Deep Learning Neural Networks (NNs) since 1991. The recurrent NNs (RNNs) developed by his research groups at the Swiss AI Lab IDSIA & USI & SUPSI and TU Munich were the first RNNs to win official international contests. They have revolutionised connected handwriting recognition, speech recognition, machine translation, optical character recognition, image caption generation, and are now in use at Google, Microsoft, IBM, Baidu, and many other companies. The first 4 members of DeepMind (sold to Google for over 600M) include 2 former PhD students from his lab. His team’s Deep Learners were also the first to win object detection and image segmentation contests, and achieved the world’s first superhuman visual classification results, winning nine international competitions in machine learning & pattern recognition.