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Deep Learning for Internet of Things Using H2O


H2O is feature-rich open source machine learning platform known for its R and Spark integration and it's ease of use. This is an overview of using H2O deep learning for data science with the Internet of Things.

2016: The Year That Deep Learning Took Over the Internet


Neural networks are the machine learning models that identify faces in the photos posted to your Facebook news feed. They also recognize the questions you ask your Android phone, and they help run the Google search engine. Modeled loosely on the network of neurons in the human brain, these sweeping mathematical models learn all these things by analyzing vast troves of digital data. Now, Hodgson, a marine biologist at Murdoch University in Perth, is using this same technique to find dugongs in thousands of photos of open water, running her neural network on the same open-source software, TensorFlow, that underpins the machine learning services inside Google.

IBM Research Suggests a Solution to the Internet of Things' Biggest Security Problem


The Internet of Things (IoT) is becoming increasingly prominent. Many of the devices available today are ones that people wouldn't have envisioned a decade or so ago. Consumers can buy security cameras, smart speakers, toothbrushes and much more that connect to WiFi and are under IoT's umbrella. Despite the substantial amount of product development in the IoT sector, people continuously bring up an area of improvement: security. Manufacturers are often so eager to launch their products in the marketplace that they don't prioritize protecting those items from cyber threats.