Nearly all newsrooms monitor digital metrics, but many miss out on opportunities to learn from the data they collect, according to a new survey of news editors and directors by the Engaging News Project at The University of Texas at Austin.
There's a growing sentiment out there with all the wonderful things happening in artificial intelligence, machine learning, and data science that these technologies are ready to solve all the things (including how to kill all humans). The reality is there are still a bunch of significant hurdles between us and the AI dystopia/utopia. One big one…
Leur métier: acheter et vendre un maximum de données privées récoltées sur Internet. Ils connaissent votre film préféré, votre numéro de carte bancaire et votre fantasme le plus caché. Comment procèdent les 'data-brokers', véritables courtiers du numérique qui auraient filé des cauchemars à Philip K. Dick ? GQ a enquêté sur ces sociétés du big data qui vous envisagent toujours sous votre meilleur profil (marchand).
Our aim was to determine the possibility of detecting cognitive emotion information (neutral, disgust, shameful, “sensory pleasure”) by using a remote eye tracker within an approximate range of 1 meter. Our implementation was based on a self-learning ANN used for profile building, emotion status identification and recognition. Participants of the experiment were provoked with audiovisual stimuli (videos with sounds) to measure the emotional feedback. The proposed system was able to classify each felt emotion with an average of 90% accuracy (2 second measuring interval).
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