Truly smart appliances, connected with the help of AI, will change and improve our daily lives.
Each IoT business and service will have to create a strategy for components within the IoT offering to maximize success. AI is no different. Here are several AI applications in IoT.
The competition among the top car manufacturers to launch the first autonomous car is on. Where each of them are in technology and business, etc are reflected in the article.
This visual guide to self-driving cars defines the qualities of a self-driving car, the five levels of autonomous vehicles and both the technology and software under the hood of autonomous cars. In addition, this guide explores the current safety issues surrounding self-driving cars.
As consumers acquire and implement more interconnected IoT devices, the number of malfunctions is growing. After intensive corroboration with top research firms and internet service providers (ISPs), five distinct factors are projected to contribute to home-based IoT device failures in 2020. AI will be at the center of resolving this problem in the coming year.
Everything you need to know about the 5 levels of driving automation and what they mean for future self-driving cars.
This is a step-by-step of how I built an IoT smart water meter using Raspberry Pi, the Microsoft Azure Anomaly Detector API, Soracom Beam and a Soracom IoT SIM card. I've included screenshots and code snippets that I used, along with reasoning why I chose Soracom and how hobbyists could further develop this project.
We built an open-source project to classify sounds using machine learning algorithms and shared the process so you can, too.
From sensors to AI, 5G and the future of mobility, CES 2020 made it clear that partnerships are necessary for how we will build a connected future, personalized wellness is becoming a need to have instead of a nice to have and AI is becoming less of a buzzword and more of an actuality.
No question, the impact of artificial intelligence and automation will be profound. But we need to prepare for a future in which job loss reaches 99 percent.