Map of the History of AI

Just working on another revision of my artificial intelligence (AI) foundations map. But I like Greg Orme’s idea of turning this map into a series of monthly instalments, each looking at a particular area of computing, AI or robotics. So, for example, one could focus on how literature has influenced robotics and vice versa. Ovid’s Metamorphosis would be a good a place to start, but so might Mary Shelly’s Frankenstein, itself influenced by the Year Without Summer (1816), which was caused by the 1815 eruption of Mount Tambora in Indonesia. (Who knew one could draw a link between a super-volcano in 1815, Mary Shelley in 1818, Isaac Asimov’s iRobot in 1950 and Ex Machina 2015?). If you were really going for it you might even link a 2020 episode of Dr Who (The Haunting of Villa Diodati) in which abnormal weather is linked to the Cybermen.

Or we could look at the origins of the Internet (ARPANET, 1969-1990) and link this to ARPA/DARPA, JCR (Lick) Licklider, Bob Taylor, Vint Cerf and Bob Kahn, but also HG Wells World Brain (1936-8) and Pierre Teilhard de Chardin’s and Vladimir Vernadsky’s ‘The Noosphere’ in 1927 (also attributed to Le Roy). But did you know that Bob Kahn’s father was the futurist Herman Kahn, who worked at RAND, who provided the inspiration for the Dr Strangelove character in Stanley Kubrick’s 1964 film of the same name.

Anyway, bear with, a new improved version of the AI-sphere coming soon…and donl’ forget that once I’ve got the history of artificail intelligence done, my next job is to step into the future and speculate about the future of computing, data science, artificiual intelligence and robotics.

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

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.