WTF ! On se demande bien ce qui est le plus troublant dans cette vidéo là… Je journalisme virtuel, la réalité virtuelle, ou la %&$£ réelle !
https://www.youtube.com/watch?v=JlfOEM6SPfE
Via Dernières Vouvelles (et oui…).
WTF ! On se demande bien ce qui est le plus troublant dans cette vidéo là… Je journalisme virtuel, la réalité virtuelle, ou la %&$£ réelle !
https://www.youtube.com/watch?v=JlfOEM6SPfE
Via Dernières Vouvelles (et oui…).
«The tech industry is no longer the passion play of a bunch of geeks trying to do cool shit in the world. It’s now the foundation of our democracy, economy, and information landscape» – danah boyd.
Source : Your Data is Being Manipulated – Data & Society: Points
«Facebook, Google, and Twitter have spent the past several weeks insisting they are committed to stopping the spread of misinformation and malicious speech on their platforms.But early on Monday, viral fake-news stories ricocheted across the platforms and to the top of Google’s search algorithm — this time about the deadly mass shooting at a country music festival in Las Vegas late Sunday».
Source : Fake news about the Las Vegas shooting spread wildly on Facebook, Google, and Twitter
«We’re in a time where the greatest advances in camera technology are happening as much in the software as in the hardware» – Phil Schiller.
Source : How Apple Built An iPhone Camera That Makes Everyone A Professional Photographer
«Channel 4 News has discovered that Amazon’s algorithm guides users to the necessary chemical combinations for producing explosives and incendiary devices. Ingredients which are innocent on their own are suggested for purchase together as “Frequently bought together” products, as it does with all other goods».
Source : Potentially deadly bomb ingredients are ‘frequently bought together’ on Amazon – Channel 4 News
La condamnation d’un ingénieur impliqué dans le scandale Volkswagen est l’illustration de la responsabilité à laquelle s’exposent les techniciens, développeurs et plus généralement les informaticiens lorsqu’ils conçoivent des logiciels qui flirtent avec la ligne jaune ou franchissent carrément la ligne rouge.
« The process of mathematically defining “fair” decision-making metrics also forces us to pin down tradeoffs between fairness and accuracy that must be faced and have sometimes been swept under the carpet by policy-makers. It makes us rethink what it really means to treat all groups equally—in some cases equal treatment may only be possible by learning different group-specific criteria.There is an entirely new field emerging at the intersection of computer science, law, and ethics. It will not only lead to fairer algorithms, but also to algorithms which track accountability, and make clear which factors contributed to a decision. There’s much reason to be hopeful! » – Jennifer T. Chayes.
Source : How Machine Learning Advances Will Improve the Fairness of Algorithms | HuffPost
Qualitative results are presented on several tasks where paired training data does not exist, including collection style transfer, object transfiguration, season transfer, photo enhancement, etc.
Source : Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Google promet plus de « transparence » avec un véritable retour et suivi sur les pages et vidéos où seront affichées les publicités, afin d’éviter les mauvaises surprises qui ont déclenché ce boycott.Pour mettre en place ces changements, Philip Schindler promet un recrutement massif et l’utilisation de nouveaux outils basés sur de l’IA.
Source : Propagande haineuse : tout comprendre au boycott massif des publicités Google – Business – Numerama
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