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Adobe plans voice-activated digital assistant for Photoshop

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Adobe Sensei is a new framework launched in November last year. It uses machine learning technology and a set of artificial intelligence services built into the Adobe Cloud Platform to provided enhance user experience to applications and tools.


The impact of voice-activated virtual assistants on retail

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Prior to that, Siri made adding an event to your calendar or quickly looking up the weather as easy as a simple push of a button on your smart phone. At what point does "Siri, tell me the weather" or "Alexa, play music" become "I'll have a cheeseburger and fries" or "What aisle can I find the peanut butter on?" or "Does this shirt come in small"? As we move away from assistants who perform simple automated tasks, 2017 has the potential to turn voice assistant technology into a virtual customer service functionality. The convergence of chatbots and virtual voice assistants has the potential to completely change the retail experience. For years, we have heard rumors about quick service retail (or QSR) replacing humans with touch screen tablets.


Kakao to Launch Voice-Activated AI Services in Third Quarter

WSJ.com: WSJD - Technology

Two chief executives of major messaging apps in India and South Korea predicted a decline in the importance of texting via keyboards and a rise in the use of cameras and voice activation to communicate. Speaking at The Wall Street Journal's D.Live Asia conference, Kakao Corp. Chief Executive Rim Ji-hoon said the South Korean firm would roll out voice-activated artificial intelligence services in the third quarter of this year.


Future of the deep learning? Geekboots Story

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You might not know it, but deep learning already plays a part in our everyday life. When you speak to your phone via Cortana, Siri or Google Now and it fetches information, or you type in the Google search box and it predicts what you are looking for before you finish, you are doing something that has only been made possible by deep learning. Deep learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. It also is known as deep structured learning or hierarchical learning. The term Deep Learning was introduced to the machine learning community by Rina Dechter in 1986, and to Artificial Neural Networks by Igor Aizenberg and colleagues in 2000, in the context of Boolean threshold neurons.


How Deep Learning is Transforming the Future of Technology?

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There is no doubt that Big Data has been one of the most popular topics among marketers and tech enthusiasts for several years. Within the big data domain one of the most promising fields is deep learning which has evolved into one of tech's most exciting and promising disciplines in the field of AI (Artificial Intelligence). The popularity of deep learning peaked in March 2016, when Google's DeepMind AI program called AlphaGo bested Lee Sedol, the celebrated player of the board game "Go", by winning four out of five games. After the match it was revealed that a relatively new AI technique called "deep learning" was responsible for the victory. According to scientists, deep learning technology has the potential to transform the entire AI area.