WELCOME TO The THE INTERNET OF THINGS REPORT
Tap Tap Tech: The Internet of Things
| March 1, 2016
Every business has its supply chain planning puzzles. Some of those puzzles are large. Some are complex.
Article | February 24, 2020
IoT protocol stack features have been specified by 3GPP, an engineering organisation that brings national Standards Development Organisations (SDOs) from around the globe to develop technical specifications for the 3rd generation of mobile, cellular telecommunications, UMTS. IoT devices have to interact with different network configurations worldwide. It is therefore important to ensure that these features are working well in all sorts of configurations, configured by different network operators. To address this challenge, digital identity and security provider Gemalto (a Thales company) and Rohde & Schwarz have teamed up to significantly reducing expensive and time-consuming drive tests of IoT devices.
As development teams race to build out AI tools, it is becoming increasingly common to train algorithms on edge devices. Federated learning, a subset of distributed machine learning, is a relatively new approach that allows companies to improve their AI tools without explicitly accessing raw user data. Conceived by Google in 2017, federated learning is a decentralized learning model through which algorithms are trained on edge devices. In regard to Google’s “on-device machine learning” approach, the search giant pushed their predictive text algorithm to Android devices, aggregated the data and sent a summary of the new knowledge back to a central server. To protect the integrity of the user data, this data was either delivered via homomorphic encryption or differential privacy, which is the practice of adding noise to the data in order to obfuscate the results.
Implementation of the “Internet of Things” in the modern world is gaining pace at breakneck speed. Society is moving away from standalone devices and entering the realm of inter-connectivity. With uses in different facets of life, such as personal gadgets, retail, electricity distribution and financial services, IoT is making its mark. One such application field of IoT is in Smart Homes, or more specifically in the Heating, Ventilation, and Air Conditioning industry (HVAC). According to a report by Zion Market Research, the global smart HVAC control market is expected to reach almost USD 28.3 billion by 2025 as compared to USD 8.3 billion in 2018. Amalgamation of the HVAC industry and IoT provides for vastly superior customer-centric services, enabling remote appliance control as a first step.
The Internet of Things is gradually penetrating every aspect of our lives. With the growth in numbers of internet-connected sensors built into cars, planes, trains, and buildings, we can say it is everywhere. Be it smart thermostats or smart coffee makers, IoT devices are marching ahead into mainstream adoption. But, these devices are far from perfect. Currently, there is a lot of manual input required to achieve optimal functionality — there is not a lot of intelligence built-in. You must set your alarm, tell your coffee maker when to start brewing, and manually set schedules for your thermostat, all independently and precisely.
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