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Overcoming Challenges of Connecting Intelligent Nodes to the Internet of Things
ATIM conçoit les systèmes de communication sans fil ARM "Advanced Radio Modem" et ACW, la technologie révolutionnaire "Atim Cloud Wireless" utilisant le nouveau réseau révolutionnaire Sigfox.
Article | February 11, 2020
Arm wants to help IoT and other embedded devices to think for themselves. Today the company unveiled two chips designed to eliminate the reliance on cloud-based artificial intelligence (AI) by delivering machine learning (ML) capabilities right on the device.“Enabling AI everywhere requires device makers and developers to deliver machine learning locally on billions and ultimately trillions of devices,” said Dipti Vachani, SVP and general manager of Arm’s automotive and IoT line of business, in a statement. The Cortex-M55 processor is the company’s first to leverage the Armv8.1-M architecture and features Arm’s Helium vector processing technology, which is designed with ML and digital signal processing in mind.
If you own smart home products like SmartThings or Nest, you may be familiar with some of the technologies behind them. Network protocols like Zigbee and Z-Wave dominate the industry, while Thread, a younger network standard, is gaining headway as a strong contender in the battle for market share. Although this may seem like your typical rivalry between industry leaders, the competitive landscape is more complicated than selecting one over another.
This post will cover various important sensors that are possibilities for an IoT deployment. Sensors are the backbone of any IoT deployment. They gather information and provide software with sensory information it needs to achieve its full potential. In addition, this post will go over considerations and decision-making for selecting sensors in an IoT deployment. Often times, a single sensor is not the best implementation, a suite of sensors can gather more data and even affect behavior for other sensors. In many cases, more than one sensor is necessary to perform the IoT deployment’s function. Sensors are just as critical to every IoT application as the internet. Imagine Alexa or Google Home without a microphone: it wouldn’t work. People wouldn’t be able to interact with the device, or it would need some other kind of sensor such as a keyboard to obtain input from a user.
By the end of this year there will be 5.8 billion Internet of Things (IoT) endpoints, according to Gartner. And depending on how IoT devices are counted the number is even higher. Statista, for example, estimates the device count for 2020 to be more than 30 billion. Security remains a big challenge for IoT as a strategy to be successful. IoT devices are still not being designed with security as a top priority.Mary O’Neill, VP of security at Nokia, noted in a press conference at MWC Los Angeles 2019 and reported by SDXCentral, that “if an IoT device today is plugged into the network and it doesn’t have protection on it, it’s infected in three minutes or less.”Jake Williams, founder of the security firm Rendition Infosec, said that “IoT vendors emphasize, often rightly, that their products improve quality of life, but they often neglect to disclose the risk of these devices to consumers. The onus of understanding how an IoT device might impact security should not be purely on the consumer. The vendor shares this responsibility.
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