artificial-intelligence   1377

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Maschinelles Sehen – Bildverarbeitung und -analyse | Microsoft Azure
Nutzen Sie die Funktionen zur optischen Zeichenerkennung und Bildanalyse der Maschinelles Sehen-APIs aus Microsoft Azure, um die benötigten Daten aus Bildern zu extrahieren.
ai  artificial-intelligence  api  demo  image-analysis 
12 days ago by kogakure
Cognitive Services – Intelligence-Anwendungen | Microsoft Azure
Nutzen Sie die intelligenten APIs und SDKs aus Cognitive Services, um Funktionen zur Bildanalyse, Spracherkennung und Erfassung relevanter Informationen zu Ihren Anwendungen hinzuzufügen.
api  ai  artificial-intelligence  emotion  image  photo  image-analysis 
12 days ago by kogakure
[no title]
Cheeseman (1985), "In defense of probability": a succinct explanation of Bayesian probability theory and its comprehensiveness: "Several corollaries follow directly from this definition. Firstly, there is no such thing as the probability of a proposition, since the probability value depends on the evidence used to derive it. This implies that if new evidence is utilized, the probability value assigned to the proposition will generally change. The only exception to this variability is when the probability is zero or one, because then there is no longer any uncertainty and further evidence makes no difference. Secondly, different observers with different evidence (information) will assign different probabilities. There is no contradiction inherent in this the apparent
contradiction comes from the idea that every proposition has a unique probability. A third consequence of the above definition is that probabilities are inherently subjective in the sense that the value depends on the believer's infor- mation, but they are objective in the sense that the same (ideal) believers should arrive at the same value given the same information."
papers  probability  Bayesian-probability  artificial-intelligence 
12 days ago by pash
A ‘potentially deadly’ mushroom-identifying app highlights the dangers of bad AI - The Verge
That’s why, when news spread on Twitter of an app that used “revolutionary AI” to identify mushrooms with a single picture, mycologists and fungi-foragers were worried. They called it “potentially deadly,” and said that if people used it to try and identify edible mushrooms, they could end up very sick, or even dead.

Part of the problem, explains Colin Davidson, a mushroom forager with a PhD in microbiology, is that you can’t identify a mushroom just by looking at it. “The most common mushroom near me is something called the yellow stainer,” he told The Verge, “and it looks just like an edible horse mushroom from above and the side.” But if you eat a yellow stainer there’s a chance you’ll be violently ill or even hospitalized. “You need to pick it up and scratch it or smell it to actually tell what it is,” explains Davidson. “It will bruise bright yellow or it will smell carbolic.”
Liability  Machine-vision  Artificial-intelligence  via:polemologos 
14 days ago by quant18
Can a Living Creature Be as Big as a Galaxy? - Issue 51: Limits - Nautilus
What about on the supersize end of the spectrum? William S. Burroughs, in his novel The Ticket That Exploded, imagined that beneath a planetary surface, lies “a vast mineral consciousness near absolute zero thinking in slow formations of crysta
artificial-intelligence  extraterrestrial 
15 days ago by zachwtaylor

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