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What Google Trends tells us about the three waves of AI development

Google Trends is a useful tool to observe how trends are changing for specific topics. This time, I entered the three phrases that represent paradigm shifts in AI technology: "Expert System," "Deep Learning," and "Generative AI" to observe the results. ....

Edward Feigenbaum , Ilya Sutskever , Fei Li , Alex Krizhevsky , Ian Goodfellow , Geoffrey Hinton , Elon Musk , University Of Toronto , Computer History Museum , Convolutional Networks , Google Trends , Net Classification , Deep Convolutional Networks , Imagenet Large Scale Visual Recognition Challenge , Oral History , Ommentary And Analysis , Enerative Ai , T Ce , Big Data ,

Snapchat's Facial Recognition Feature

Since its inception in 2011, Snapchat has been continuously innovating its features to keep up with the competition. One of its most popular features is the facial recognition feature, which allows users to add filters and lenses to their photos and videos. This feature has been available since 2015, and has been a staple of […] ....

Odes Ka Oblast , Stanford University , United States , San Francisco , Jessica Alba , Ariana Grande , Woodrow Wilson Bledsoe , Nvidia Geforce , Technology Does Snapchat , Chicago Tribune , Recognition Technology , Government Accountability Office , Snap Inc , Biometric Information Privacy Act , Snapchat Have Facial , Logme Facial Recognition , Cocoa Touch , Play Store , Wilson Bledsoe , Imagenet Large Scale Visual Recognition Challenge , Oriented Gradients , Support Vector Machine , Image Processing , Active Shape Model , Claim Form , Settlement Class ,

Outlook 2020 - With a better understanding of specific application requirements, the move towards edge computing is accelerating

A year ago, when we presented our outlook on edge computing, things were just starting to heat up in this area. Last year we reported on the rapid expansion of open source technologies and the different programming paradigm that was required to deploy machine learning (ML) at the edge. ....

Imagenet Large Scale Visual Recognition Challenge ,

The Decade of Deep Learning

As the 2010’s draw to a close, it’s worth taking a look back at the monumental progress that has been made in Deep Learning in this decade.[1] Driven by the development of ever-more powerful comput ....

Christopher Watkin , Lee Sedol , Group Normalization , Neural Networks , Convolutional Neural Networks , Generative Adversarial Networks , Value Network Architectures Source , Rectifier Nonlinearities Improve Neural Network Acoustic Models , Convolutional Networks For Large , Accurate Deep Network , Highway Networks , Convolutional Neural Network , Network Training , Sparse Rectifier Neural Networks , Deep Learning , Computer Vision , Natural Language , Delving Deep , Surpassing Human Level Performance , Imagenet Classification , Best Multi Stage Architecture , Accurate Deep Network Learning , Exponential Linear Units , Normalizing Neural Networks , Error Linear Units , Net Classification ,

The Great Fake Brain

Will the humans who created artificial intelligence (AI) soon be relegated to some dusty corner? ....

United States , Sam Altman , Bracha Stein , Geoffrey Hinton , Herbert Simon , Bill Gates , Daniel Kahneman , Ilya Sutskever , Reid Hoffman , Elon Musk , Christopher Wray , Alex Krizhevsky , Jessica Livingston , Peter Thiel , Garry Kasparov , World Economic Forum In Davos , Silicon Valley , Deep Blue , Alphago Zero , Imagenet Large Scale Visual Recognition Challenge , Open University , World Economic Forum , Nobel Prize , Loyal Kichel , Orthodox Jewish ,