The race of the next 10 years
Author: Matthias Hänel
This article represents my personal opinion about the technological steps in the next 10 years from now on.
I believe that the next 10 years will bring dramatic changes to our lives. There are numerous ground breaking technologies on the march all of them are based on the dramatic increase of computing power in the last two decades.
The technologies of disruption are:
- Cloud Computing
- Bio Technology with CRISPR/Cas 9
- Machine Learning
- Deep Learning
- Artificial Intelligence
Disrupted field in human live will be:
- our live span
- daily work
- assets / wealth
- … and a lot more
Those changes will have such a dramatic impact on our social and personal live, so we feel that we need to prepare for this foreseeable future.
My father-in-law grown in eastern Germany under a communistic regime in the german democratic republic. He lately, state that he does not believe in next-gen cars transportation and so on. He was disappointed by his own experiences since his childhood. There was this book called „Weltall Erde Mensch“ (Wikipedia link) and the future predictions there have not been true and so he does not believe in any future predictions as well. In this discussion I found that all those changes I saw in the last 20 years are incredible fast, but still do not satisfy futuristic ideas of flying cars and living on the mars. From his perspective humanity failed.
Today we are on the edge of machine learning where it jumps into almost every field of our lives very soon. We will see new bio materials, automatic driving cars, automatic flying planes, real time translators with audio in and out, auto machine controllers in plants and factory that produce goods like cars, clothes, food and will replace any easy tasks at all. All learnable tasks with a lot of data will be automated very soon. An autonomous system can run hundreds of years of training in a very short amount of time, so it will outperform any human very easy.
The most important point in using machine learning, deep learning or artificial intelligence is, that those algorithms might take a long time to learn and train neuronal networks, but have the ability to run in real time or pseudo real time.
Not yet convinced? There are impressing examples:
DeepMind plays a very complex game called StarCraft against the most skilled players in this game.
DeepMind folds RNA without prior knowledge much better than any scientific groups before.
A Tesla is driving full autonomous on regular streets.
Where to start?
There are a lot of frameworks. Here is a list:
- Easy Start?
- use LUDWIG (Uber tensorflow based easy to use tool without coding)
- or Azure Machine Learning Studio