IoT Technical Report #3


Welcome to the third edition of the IoT Technical Report, a monthly selection of technology news on the IoT world. You will find here the most relevant discoveries and publications in the following domains : Machine learning, distributed systems, energy, embedded systems, and hardware. You will also find this report on my twitter account.

W3C Launches Web of Things Working Group for IoT Standardization and API Development


The W3C has launched a Web of Things Working Group to explore standardization among a growingly disparate market force. The Internet of Things (IoT) continues to pick up speed among industries across the board, and without a current standardization methodology, the W3C, among others, sees unhelpful fragmentation

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A Huge Deep-Sea Metal Find Could Help Build Our Green Energy Future


Researchers have found rare metal deep beneath the surface of the sea—but the discovery largely serves to highlight a pressing dilemma about where we should draw the line when it comes to extracting nature's resources.

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Flat Transistors Provide Every Object With Internet of Things Capabilities


New and exciting technology is just within our grasp, by the look of things. Scientists at Trinity College Dublin have come up with an intriguing idea to create transistors made of 2D nanomaterials.

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Burger King’s new ad forces Google Home to advertise the Whopper


Burger King is unveiling a horrible, genius, infuriating, hilarious, and maybe very poorly thought-out ad today that’s designed to intentionally set off Google Homes and Android phones.

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Amazon Developing Advanced Voice-Recognition for Alexa


The Seattle-based technology giant has been developing a feature that would allow the voice assistant that powers its Echo line of speakers to distinguish between individual users based on their voices.

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Samsung's Android Replacement Is a Hacker's Dream


A security researcher has found 40 unknown zero-day vulnerabilities in Tizen, the operating system that runs on millions of Samsung products.

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Federated Learning: Collaborative Machine Learning without Centralized Training Data


Federated Learning enables mobile phones to collaboratively learn a shared prediction model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud.

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In-Datacenter Performance Analysis of a Tensor Processing Unit​


Many architects believe that major improvements in cost-energy-performance must now come from domain-specific hardware. This paper evaluates a custom ASIC—called a ​Tensor Pro​cessing Unit (TPU)— deployed in datacenters since 2015 that accelerates the inference phase of neural networks (NN).

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