Supercomputer Watson eats People alive on Jeopardy!

Gepostet vor 6 Jahren, 1 Monat in #Misc #AI #Computer #Language #TV

Share: Twitter Facebook Mail


(Youtube Direktwatson, via Engadget)

Ihr erinnert Euch an Watson, IBMs Supercomputer, der Anfang Februar in Jeopardy! gegen ein paar Menschen antreten wird? Der hat gestern in einer Testrunde seine Gegner zum Frühstück verspeist. Die Menschen holen nach einer beschämenden ersten Runde zwar nochmal auf, eine wirkliche Chance haben sie aber nicht. Von PopSci:

Watson, named after IBM's founder, is one epic supercomputer. To handle the formidable task that competing on Jeopardy! presents, IBM spent years constructing a computer with 2,800 Power7 cores. That power is absolutely necessary--a single-core CPU, like in many modern computers, takes about two hours to come up with an answer to a standard Jeopardy! question, rather than the three-second average Watson currently boasts.

A lot of the challenge in creating an algorithm that can answer Jeopardy! questions lies in the questions themselves--the language used in these questions is hardly ever simple, often incorporating wordplay, riddles, and irony--but there's an additional problem in the addition of risk. In a split-second, a competitor must assess confidence in the question, weigh that confidence against the penalty of getting it wrong, and decide if the question is worth answering based on those factors. That's an intuitive effort for a human, but Watson had to be programmed with some incredibly complex reasoning to be able to do the same thing.

In Warmup Match, Jeopardy All-Stars Defeated By IBM's Supercomputer Watson

They Live Brainwashing-TV-Set-Toys

Großartiges They Live-Toy aus Hong Kong, jede Menge Miniatur-Plastikfernseher mit den sublimen Gehirnwäsche-Befehlen der Alien-Oppressors. Gibt's hier ab 15 Dollar…

RechtsLinks 17.2.2017: Fuckopoulos at Maher, PewDiePie is a racist SuperNazi from hell, Trump is 4chan

Pic: Lie Lie Land von Bambi First things first: Milo Fuckopoulos ist heute abend bei Bill Maher: „Yiannopoulos will be…

Where Slang Comes From

Schönes Posting von Matt Daniels über 2016er Slang: Where Slang Comes From – Emerging slang, identified by searches for words’…

RechtsLinks 12.2.2017: Seeßlen über die Sprache der Rechten und eine Tour der pro-authoritaristischen Neo-Reaktion

The Atlantic: Behind the Internet's Anti-Democracy Movement – White House chief strategist Steve Bannon is reportedly a reader of neoreactionary…

Semiotics of Pepe

PBS Idea Channel über die Semiotik von Pepe: „Feels several different ways, man“. Bücher-Wiki über die im Clip angesprochene Polysemie:…

Google Brain does Zoom & Enhance

Vor grob einem halben Jahr bloggte ich über eine Reihe von Papers, die eine neue AI-Anwendung vorstellten: Image Super-Resolution. Die…

21 Things that Trump says make a „Bing“-Sound

Bing! 21 things that President Trump says make a "bing" sound pic.twitter.com/7e1Smlwoai — VICE News (@vicenews) February 7, 2017

NSA-Powerpoint-Styletransfer: Snowden.ppt

Matthew Plummer-Fernandez hat einen Style-Transfer-Algorithmus auf verschiedene NSA-Powerpoint-Slides trainiert und daraus ein paar Snowden-Portraits generiert: Snowden.ppt. Machine Learning style transfer…

Why Germans Can Say Things No One Else Can

School of Life: „Backpfeifengesicht, a face that's begging to be slapped. Generosity towards others is key, but German is bracing…

Algorithmic Cyclops

Mario Klingemann trainiert wieder irgendwelche Neural Networks die wieder irgendwelche komischen Sachen generieren. Diesmal hat er ’nen Algorithmus auf vintage…

Hieronymus Bosch dreaming of Sesame Street

Chris Rodley dreht nach dem Trump Clan ein paar klassische Gemälde von Picasso und Hieronymus Bosch durch den Sesamstraßen-Neural-Network-Wolf: