Smart Savings: How IoT Technology Reduce Energy Costs?
It also helps our environment The world today is at a crucial point of striving to achieve energy savings and replacing hardware with new more energy efficient devices. IoT is
Understanding NVIDIA Jetson and Its Impact on IoT
What is NVIDIA Jetson? It is a revolutionising platform focused on device interactions and data processing in the IoT environments. NVIDIA Jestron also integrates powerful AI directly into edge devices.
What Exactly is Deep Q-Learning? Q-Learning Part #3
In the previous article we learned the theory and basic implementation of one of the most popular reinforcement learning algorithms – Q-learning. Despite the obvious advantages of the classic approach with
How to implement Q-Learning algorithm for gymnasium enviroment? Q-learining part #2
Implementing Q-learning algorithm In the previous article in this series, we learned the basics and theoretical introduction of the Q-learning algorithm. We have theoretical knowledge, now it’s time to put it
What is Q-learning? Q-Learning Part #1
Reinforcement learning (RL) is one of the most dynamic and fastest growing fields within artificial intelligence and machine learning. Unlike traditional supervised learning, where models are trained on a fixed dataset,
Smart Savings: How IoT Technology Reduce Energy Costs?
It also helps our environment The world today is at a crucial point of striving to achieve energy savings and replacing hardware with new more energy efficient devices. IoT is
Understanding NVIDIA Jetson and Its Impact on IoT
What is NVIDIA Jetson? It is a revolutionising platform focused on device interactions and data processing in the IoT environments. NVIDIA Jestron also integrates powerful AI directly into edge devices.
What Exactly is Deep Q-Learning? Q-Learning Part #3
In the previous article we learned the theory and basic implementation of one of the most popular reinforcement learning algorithms – Q-learning. Despite the obvious advantages of the classic approach with
How to implement Q-Learning algorithm for gymnasium enviroment? Q-learining part #2
Implementing Q-learning algorithm In the previous article in this series, we learned the basics and theoretical introduction of the Q-learning algorithm. We have theoretical knowledge, now it’s time to put it
What is Q-learning? Q-Learning Part #1
Reinforcement learning (RL) is one of the most dynamic and fastest growing fields within artificial intelligence and machine learning. Unlike traditional supervised learning, where models are trained on a fixed dataset,
What is ThingsBoard? Open-source IoT platform for your project
When talking about IoT platforms, most people know and acknowledge ThingsBoard. But many of them are not aware of its possibilities, both front-end and back-end wise. For example, people often focus
Automated integration testing in embedded systems
Testing is a crucial part of development because it identifies bugs before customers see the product. However, manual testing consumes significant time and resources. Testers must simulate every possible scenario to
Cyber Resilience Act 2026 guide for IoT devices
There is a running joke saying that ‘S’ in ‘IoT’ stands for ‘Security’. While it is unfair to generalize this in such a way. It does not take into account well-designed
