Google’s Edge TPU Machine Learning Chip Helps In Automating Quality Control For IoT Applications

  The pioneer in the internet-related services and products: Google has unveiled a new tensor processing unit (TPU) called Edge TPU at the Google Cloud Next conference in San Francisco. The novel chip is designed to run TensorFlow Lite machine learning models on the Internet of Things-based (IoT-based) devices.     Two years ago, Google launched its TPU, a specialized chip that performs simplified tasks of artificial intelligence (AI). However, the newly-launched Edge TPU is carefully designed to carry out the so-called “inference tasks”, which is the part of machine…

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Global artificial intelligence chip market to grow at a CAGR of 45.4% from 2018 to 2025

Global AI chip industry is driven by the development of smart cities, rise in demand for smart homes, and emergence of quantum computing.   Portland, Oregon – Allied Market Research (AMR), a research firm based in Portland, has published a report titled, Artificial Intelligence Chip Market – Global Opportunity Analysis and Industry Forecast, 2018–2025. As per the report, the global artificial intelligence (AI) chip market garnered a revenue of $4.5 billion in 2017, and is expected to reach $91.1 billion by 2025, registering a CAGR of 45.4% from 2018 to…

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AIgatha, the Simplest AI Solution for Enterprise and Individuals on Blockchain

TAIPEI, Taiwan, May 10, 2018 /PRNewswire/ AI technology, information security and data analysis have been gaining their momentum in recent days.     However, it is still hard for most small and medium-size enterprises to integrate these technologies and resources, not to mention individuals. As for such a problem, AIgatha has developed a service platform based on a combination of DistComp@home (distributed computation at home) and iMLOv (integrated machine learning service). Integrating multiple technologies including AI predicting, distributed computing and blockchain, AIgatha has reduced the cost of computing for users…

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