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What does DALL·E ‘think’ mathematics and a mathematician looks like?

DALL·E is an Artificial Intelligence (AI) system that has been designed to generate new images given a text prompt. It’s very much like doing a Google image search with one very important difference: DALL·E doesn’t try to find existing images to match your query, but creates a handful of new ones that it hopes will fit the bill.

What does craiyon/DALL·E mini ‘think’ mathematics and mathematicians look like?

You may have seen DALL·E mini posts appearing on social media for a little while now – it’s been viral for a couple of weeks, according to Know Your Meme. It’s an artificial intelligence model for producing images, operating as an open-source project mimicking the DALL·E system from company OpenAI but trained on a smaller dataset. Actually, since I had a play with this yesterday it’s renamed itself at the request of OpenAI and is now called craiyon. Since the requests all take between 1-3 mins to generate, I’m not going to re-generate all the images in this post using craiyon so that’s why they have the old ‘DALL·E mini’ branding.

AI image generation is a massively impressive technical achievement, of course. craiyon doesn’t create as stunning images as DALL·E 2, but still it can create some ‘wow’s.

What’s interesting, sometimes, is how it interprets a prompt. The data craiyon is trained on is “unfiltered data from the Internet, limited to pictures with English descriptions” according to the project’s statement on bias, and this can lead to problems including that the images may “reinforce or exacerbate societal biases”.

To see that in action, we can take a look at how the model manifests cultural expression around mathematics. When I gave it the simple prompt ‘mathematics’, it produced this.

Model for processing language in context

New research looks at how language is used to convey information in context, something which is, according to its abstract “one of the most astonishing features of human language”. Apparently there have been “many” theories providing “informal accounts of communicative inference” but few have succeeded in making “precise, quantitative predictions about pragmatic reasoning”.

Loebner tires of Loebner Prize, discusses future of thinking machines

TechRepublic have published an interview with Hugh Loebner, originator of the Loebner Prize competition, in which he discusses the prize and the future of thinking machines.

Math/Maths 87: Faulty Cables, Ridiculous Buses & Intergalactic Steroids

A new episode of the Math/Maths Podcast has been released.

A conversation about mathematics between the UK and USA from This week Samuel and Peter spoke about: Samuel’s ridiculous bus trip; Computer programmes with IQ 150; IBM’s Watson and data analytics; Extracting Dynamical Equations from Experimental Data is NP-Hard; OPERA faster-than-light neutrinos experiment UPDATE 23 February 2012; ‘Invisibility’ cloak could protect buildings from earthquakes; How Bots Seized Control of Carlos Bueno’s Pricing Strategy; Calculus: The Musical!; Who says ‘maths curriculum failing to meet the needs of the 21st century’?; Turing Stamp; & more, and Peter spoke to some of the team behind Maths in the City on the occasion of their inaugural London walking tour. Oh, and Samuel forgot to mention Science Sparring Society’s second fight, but the link is in the show notes anyway.

Get this episode: Math/Maths 87: Faulty Cables, Ridiculous Buses & Intergalactic Steroids

IBM piloting Watson as cloud analytics service

Watson is the computer that famously won the US game show Jeopardy last year, part of a traditional of IBM ‘grand challenges’ that includes the computer Deep Blue which in 1997 won a chess match against world champion Garry Kasparov. At the time it was reported that IBM intended Watson to be applicable in business cases where large quantities of data need sorting, for example in healthcare.

Now, in an article titled “IBM’s Watson is changing careers”, Fortune reports Watson “will soon be available as a commercialized analytics tool for data-heavy industries like healthcare, telecom and financial services”, with insurance company WellPoint acting as a pilot tester. With Watson as a cloud service, the article suggests some example applications:

A financial services firm could use it to sift through news reports and market research to find likely acquisition targets. Or a healthcare company could utilize Watson to process medical articles, prior cases and even a patient’s own medical history and identify the most likely diagnosis and best course of treatment.

Fortune acknowledges that data analytics is nothing new, but describes Watson as like “Siri… on intergalactic steroids”.

IBM has further plans for making Watson available on smartphones and tablets, and for translation to other languages “including Japanese and French”. The article also mentions competitors to IBM such as Oracle and SAP are also investing in analytics.

Source: IBM’s Watson is changing careers.