{"id":881,"date":"2019-02-18T00:14:16","date_gmt":"2019-02-18T00:14:16","guid":{"rendered":"https:\/\/techclot.com\/index.php\/2019\/02\/18\/mentally-unstable-artificial-intelligence\/"},"modified":"2019-02-18T00:14:21","modified_gmt":"2019-02-18T00:14:21","slug":"mentally-unstable-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/techclot.com\/index.php\/2019\/02\/18\/mentally-unstable-artificial-intelligence\/","title":{"rendered":"Mentally Unstable Artificial Intelligence"},"content":{"rendered":"
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“<\/span>This artificial intelligence is designed to be mentally unstable.”<\/span> <\/blockquote>

— Wired<\/figcaption><\/figure>\n

\"DABUS's <\/p>\n

DABUS’s output gets progressively more surreal as cognitive flow is reduced. Credit:Imagination Engines<\/p>\n

DABUS is a new type of AI that paves the way for smarter machines. Nothing new there – but this machine-learning system is different. DABUS, short for “device for the autonomous bootstrapping of unified Sentience”, is deliberately created to be mentally unstable.<\/p>\n

<\/ins> <\/p>\n

Since the 90s, computer scientist Stephen Thaler has been injecting noise into a special neural network to generate novel ideas. Thaler, CEO of Missouri-based Imagination Engines<\/a>, calls this module an Imagitron. The stream of creativity is assessed by a second network called a Perceptron, which provides feedback to improve ideas. This AI approach of neural networks playing off each other has been adopted by Facebook, Google and others – under the name “generative adversarial networks” – as a method of creating images that look authentic to human observers.<\/p>\n

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“<\/span>At one end, we see all the characteristic symptoms of mental illness, hallucinations, attention deficit and mania. At the other, we have reduced cognitive flow and depression.”<\/span> <\/blockquote>

— Stephen Thaler<\/figcaption><\/figure>\n