Automotive Hardware IoT Machine Learning 
Hacker Earth Developers Blog
MARCH 5, 2019
The Internet of Things (IoT) is a system of interrelated devices that have unique identifiers and can autonomously transfer data over a network. IoT ecosystems consist of internet-enabled smart devices that have integrated sensors, processors, and communication hardware to capture, analyze, and send data from their immediate environments.
TechCrunch
JANUARY 25, 2022
Quantum computing promises to unlock a new wave of processing power for the most complex calculations, but that could prove to be just as harmful as it is helpful: security specialists warn that malicious hackers will be able to use quantum machines to break through today’s standards in cryptography and encryption.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Perficient
DECEMBER 2, 2022
The basic flow of data can be summarize like so: Events are emitted by IoT devices over OPC-UA or MQTT to a local broker. Industrial IoT (IIoT) solution overview diagram. The second, more modern option is MQTT, now available on most IoT devices and certain industrial equipments. Azure IoT Edge – Source: Azure.
The Parallax
DECEMBER 8, 2017
Today’s challenges include “ bringing the automotive industry up to snuff with where normal desktop PC software was, and applying those lessons back into the automotive space,” he says. “It’s 5 questions to ask before buying an IOT device. That could put drivers and pedestrians at risk of injury or even death, he says.
Mobilunity
JUNE 5, 2023
The automotive industry has been an engine of transformation and innovation for over a century, revolutionizing the way we travel and shaping the modern world. In this article, we embark on a journey through the realms of the automotive industry, exploring its vibrant landscape, emerging trends, and groundbreaking advancements.
Trigent
APRIL 14, 2022
The solution came in the form of an Intelligent Edge solution from FogHorn that makes complex machine learning modules run on highly constrained devices. With upcoming 5G rollouts, massive IoT networks, mmWave, and network slicing requirements, their cloud and edge capabilities will be of an entirely different scale.
Xicom
DECEMBER 10, 2018
Both Hardware and software of smartphones are being improved continuously we will get more room to play. Machine Learning and Artificial Intelligence. Apple’s Siri shows why machine learning and artificial intelligence are very much part of mobile apps and they will progress more. billion by 2021 at a CAGR of 33%.
Expert insights. Personalized for you.
283 
Let's personalize your content