Implementing IoT sensors on the devices involved to extract vital data and then send them to machine-learning models can help in the following ways. • Improve the quality of products ...

By Pieter van der Wolf, Principal R&D Engineer, Synopsys Inc. and Dmitry Zakharov, Senior Software Engineer, Synopsys Inc Smart IoT devices that interact intelligently with their users are appearing ...

Human-aided machine learning “Machine learning is a critical component to developing Artificial Intelligence for IoT security,” says Uday Veeramachaneni, co-founder and CEO at PatternEx.

For starters, machine learning algorithms can make IoT data better suited for processing and analysis. Businesses can use trained algorithms to help in the organization and tagging of data.

The research firm Memoori forecasts that the number of IoT devices used in commercial smart buildings will grow at a 13.7% CAGR through 2028, reaching an estimated 3.25 billion devices.

Intel has continued its strides into the IoT market through the acquisition of Itseez, a computer vision and machine learning company, reports BCN. Itseez, which was founded by two former Intel ...

The deployment of smart, connected sensors, combined with machine-learning-powered analytics tools, can enable us to gather information, make predictions and reach decisions that will make our ...

The growth of the Internet of Things (IoT) market in recent years is hard to ignore. According to Forbes, the global IoT market will grow from $157 billion to $457 billion between the year 2016 ...

Teaming up with technology service provider SPTel, Xie is building a smart hydroponics farm in a greenhouse that uses a plethora of IoT sensors, including video cameras, to keep the farm humming ...