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The Hype Cycle report mentions that from 2018 through 2022 organizations will most often utilize 5G to support IoT communications, high definition video and fixed wireless access.
GARTNER HYPE CYCLE IOT FULL
Baidu Research provides a site full of useful information on their ongoing research and development as well. Apple has also launched a Machine Learning Journal. Amazon Machine Learning is available on Amazon Web Services today, accessible here.
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Gartner predicts deep-learning applications and tools will be a standard component in 80% of data scientists’ tool boxes by 2018. The success of Amazon Alexa, Apple Siri, Google’s Google Now, Microsoft’s Cortana and others are making this area the top priority for R&D investment by these companies today. Heavy R&D spending from Amazon, Apple, Baidu, Google, IBM, Microsoft, and Facebook is fueling a race for Deep Learning and Machine Learning patents today and will accelerate in the future – The race is on for Intellectual Property (IP) in deep learning and machine learning today.Key takeaways from this year’s Hype Cycle include the following: Gartner believes that key platform-enabling technologies are 5G, Digital Twin, Edge Computing, Blockchain, IoT Platforms, Neuromorphic Hardware, Quantum Computing, Serverless PaaS and Software-Defined Security. The three most dominant trends include Artifical Intelligence (AI) Everywhere, Transparently Immersive Experiences, and Digital Platforms. Ten technologies not included in the hype cycle for 2017 include 802.11ax, Affective Computing, Context Brokering, Gesture Control Devices, Data Broker PaaS (dbrPaaS), Micro Data Centers, Natural-Language Question Answering, Personal Analytics, Smart Data Discovery and Virtual Personal Assistants. The eight technologies added to the Hype Cycle this year include 5G, Artificial General Intelligence, Deep Learning, Deep Reinforcement Learning, Digital Twin, Edge Computing, Serverless PaaS and Cognitive Computing. From this large base of technologies, the technologies that show the most potential for delivering a competitive advantage over the next five to 10 years are included in the Hype Cycle. The Hype Cycle for Emerging Technologies, 2017 provides insights gained from evaluations of more than 2,000 technologies the research and advisory firms tracks. Virtual Personal Assistants, Personal Analytics, Data Broker PaaS (dbrPaaS) are no longer included in the Hype Cycle for Emerging Technologies.Gartner added eight new technologies to the Hype Cycle this year including 5G, Artificial General Intelligence, Deep Learning, Edge Computing, Serverless PaaS.Gartner’s Hype Cycle for Emerging Technologies, 2017 Adds 5G, Edge Computing For First Time