Back to the Future of AI

I think I’m getting somewhere with this. I often find that before looking forwards at the future of something, artificial intelligence, for example, it’s often worth going backwards to the start of things. This is a draft of a visual looking at the history and influences of computing and AI.

It needs a sense check, contains errors and is somewhat western-centric, but then I am all of these things. It’s also very male-heavy, but then that was the world back then – and in AI and IT possibly still is. Perhaps I should do a visual showing women in AI – starting with women at Bletchley Park, NASA and so on. I may spin this off into a series of specific maps looking purely at robotics or software too.

History of Computing and AI – Richard Watson, April ’21

Big Data Problem

According to a 2017 interview with Kevin Murphy, Earth Science Data Systems Program Executive at NASA, the biggest challenge now is not going where no man has gone before, but managing the data.

Murphy states that as of 2016, 12.1TB of data stream in from observation posts and sensors on terra firma as well as out in space on a daily basis and is projected to increase to 24TB per day as better tools come to the fore. In addition, the archives already contain 24PB (petabyte = 1,000TB) of data, projected to grow to 150PB by 2023. Within these data streams is information that has significant importance in the earth sciences, space exploration, and potential resources and threats.

Freaky

https://www.youtube.com/watch?v=8cPLQyKnyjQ

Using AI to make dead relatives come to life. Video gravestones next? I guess this is just the start of various applications of Deep Fakes, some fun, some sinister and some dangerous. Deep Revenge Porn is probably next – totally fake videos of people having sex (makes that bit of tape across your laptop camera somewhat redundant). Thanks to Matt D as always!

Article link.

Using AI to Predict Future AI

To much of this and your head explodes…

Having an interesting conversation yesterday about whether you could use AI to predict future developments in AI. The answer is almost certainty yes. We’ve already got self-writing software, 3D printers that print 3D printers and we are on the cusp of automated scientific discovery. One rather wonders where this would leave humans?