O'Really?

July 7, 2021

Would YOU want to live in Alan Turing’s house?

The blue plaque on Alan Turing’s house, commemorating his work in cryptography which founded both Computer Science and Artificial Intelligence as new disciplines. Picture by Joseph Birr-Pixton on Wikimedia Commons w.wiki/3aYW

The house where Computer Scientist Alan Turing spent his final years is currently up for sale. The estate agent describes the property on 43 Adlington Road, Wilmslow as a Victorian family residence of significant historical importance. Wilmslow and the surrounding Cheshire countryside is popular with Manchester commuters, including many Man United, Man City & England football stars. Even if you could afford its premier league price tag, would YOU want to live in the house where Turing’s life ended so tragically? 

Turing was found dead at this house, on the 8th June 1954 by his cleaner. The cause of his death the previous day was established as cyanide poisoning. He was just 41 years old. When his body was discovered, an apple lay half-eaten by his bedside. 

The coroner recorded a verdict of suicide.

At the end of his life Turing was suffering mentally and physically. The homophobic British authorities were using a form of legalised torture, known as forced chemical castration, to punish him for being homosexual. At the time, homosexuality was a crime. Turing put on a brave face and joked about his castration (“I’m growing breasts!), but it must have been horrible to endure.

If you’re feeling suicidal or tortured, you don’t have to struggle with difficult feelings alone. If you’re suffering from emotional distress or struggling to cope a Samaritan can face your problems with you. Whatever you’re going through, samaritans.org are available 24 hours a day, 365 days a year. They respond to around 10,000 calls for help every day. No judgement. No pressure. Call them free any time, from any phone on 116 123.

While everyone can have a good old nosey at Turing’s house through the estate agents window, no-one needs to suffer like its famous former resident did. Personally I think I’d find this property an enigmatically haunted house to live in, knowing that this was the place where a great man’s life ended in such tragedy. How about you?

Turing’s House: Copper Folly, 43 Adlington Road, Wilmslow, Cheshire, SK9 2BJ

  1. Rightmove details www.rightmove.co.uk/properties/109329428
  2. Savills.com details in a single pdf file bit.ly/alan-turings-house
  3. Turing’s house in Google maps goo.gl/maps/krMM3A2JfgTUVFfm8
  4. GCSE computing: Alan Turing: Creator of modern computing bbc.co.uk/teach/alan-turing-creator-of-modern-computing/zhwp7nb
  5. Alan Turing’s Manchester by Jonathan Swinton describes what it was like to make new friends and lovers in the smog-bound, bombed-out city of Manchester from 1948 to 1954 manturing.net
  6. Leslie Ann Goldberg, Simon Schaffer and Andrew Hodges discuss Turing’s ideas and life with Melvyn Bragg https://www.bbc.co.uk/programmes/m000ncmw
  7. Breast enlargement in men undergoing chemical castration https://en.wikipedia.org/wiki/Gynecomastia

Acknowledgements

Thanks to Alan O’Donohoe for spotting Turing’s house on the market and to Joseph Birr-Pixton for publishing his picture of Turing’s blue plaque on Wikimedia Commons.

July 25, 2006

AAAI’06: Highlights and conclusions

The AAAI conference finished last Thursday, here are some highlights and papers that might be worth reading if you are interested in building and / or using a more “intelligent” (and possibly semantic) web in bioinformatics.

Here are the papers or talks I enjoyed the most and hope you might also find them useful or inspiring.

  1. Unifying Logical and Statistical AI talk given by Pedro Domingos.

    Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI (of which the semantic web is an example) has focused mainly on the former, and statistical AI (e.g. machine learning) on the latter. The two approaches can be united, with significant benefits, some of which are demonstrated by the Alchemy system

  2. Developing an intelligent personal assistant: The CALO (Cognitive Agent at that Learns and Organises) project talk given by Karen Myers.

    CALO is a desktop assistant that learns what you do in the lab / office. Sounds spooky, but involves some interesting technology and fascinating research questions.

  3. Bookmark hierarchies and collaborative recommendation by Ben Markines, Lubomira Stoilova and Filippo Menczer.

    Describes an open-source, academically-oriented social bookmarking site where you can donate your bookmarks to science at givealink

  4. Social network-based Trust in Prioritised Default Logic by Yarden Katz and Jennifer Golbeck.

    Who and how can you trust on the Web?

  5. Google vs Berners-Lee was a memorable debate. According to Jim Hendler, Tim and Peter are reconciling their differences now

Not particularly webby, but…

…entertaining nonetheless.

  1. Stephen Muggletons talk on Computational Biology and Chemical Turing Machines, went down well but unfortunately I was stuck in a parallel track, experiencing “death by ontology”.
  2. Bruce Buchanan gave a talk What Do We Know About Knowledge. A roller-coaster ride through the last 2000+ years of human attempts to understand what knowledge is, how to represent it and why it is powerful
  3. Winning the DARPA Grand Challenge with an AI Robot called Stanley talk given by Sebastian Thrun, amazing presentation on a driving a robotic car through the desert over rough terrain. However, it doesn’t take too much imagination to think of horrific applications of this. Next year they will try to drive it from San Francisco to Los Angeles on a public freeway, and Stanley hasn’t even passed its driving test yet!

Turing’s dream

Appropriately, the conference which was subtitled Celebrating 50 years of AI finished with two talks by Lenhart K. Schubert and Stuart M. Shieber about the Turing test. The first discussed Turing’s dream and the Knowledge Challenge, the second talk asked Does the Turing Test Demonstrate Intelligence or Not? Now I’m back in Manchester, where Turing once worked, I can’t help wondering, what would Alan make of the current state of AI and the semantic web? I think there are several possibilities, he could be thinking:

  • EITHER: Fifty odd years later, they’re not still wasting time working on that Turing test are they?!
  • OR: He is smugly satisifed that he devised a test, that no machine has passed, and perhaps never will, but has provided us with a satisfactory operational definition of “intelligence” ;
  • …AND What the hell is the “Semantic Web”?

We will never know what Alan Turing would make of todays efforts to make a more intelligent web. However, that won’t stop me speculating that he would be impressed by the current uses of computers (intelligent or otherwise) to drive robots through the desert, perform all sort of computations on proteins and to search for information on this massive distributed global knowledge-base we call the “Web”. Not bad for 50 years of work, here’s to the next 50…

References

  1. Alan Turing (1950) Computing Machinery and Intelligence: The Turing TestMind 59(236):433-460
  2. Stephen H. Muggleton (2006) Exceeding human limits: The Chemical Turing MachineNature 440:409-410
  3. Stephen H. Muggleton (2006) Towards Chemical Universal Turing Machines in Proceedings on the 21st National Conference on Artificial Intelligence
  4. Picture credit: Image from Steve Jurvetson
  5. This post was originally published on nodalpoint with comments

Blog at WordPress.com.