Why IoT deployments need LPWAN
LPWAN stands for Low Power Wide Area Network. The technology emerged in 2013 as a class of wireless technologies suited for the needs of Machine-to-Machine communication and IoT devices. The…
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Insights on AI, machine learning, computer vision, and enterprise technology.
Engaging the IoT devices of smart cities with multi-sensor data fusion
According to McKinsey, the first and basic level of architecture that makes a city smart is the technology base. They define the technology base as a critical mass of smartphones…
Why humanoid robots need motion planning?
Humanoid robots are robots with their bodies built to resemble those of humans. Most humanoid robots have a torso, a head, two arms, and two legs like a regular human….
How to fine-tune your artificial intelligence algorithms
Deep learning is a subset of machine learning that has networks capable of learning autonomously without human intervention from data that is unstructured or unlabeled. The deep learning algorithms require…
How computer vision can help in building AR environments
AR devices use GPS and compass to figure out where a person is standing and what directions he or she is facing to display images against the real-world background. But…
Will emotion recognition enable safer driving experiences?
When it comes to safety, many people often think of factors like speeding, reckless behavior, and others. While one of the most important factors that are forgotten is the emotional…
4 applications of AR in the automotive industry
The automotive industry is seeing a rapid transformation with substantial investments in technology in recent years. These technologies primarily are aimed at improving the driving experience for the customers and…