Introduction In the world of embedded systems, developers often face a choice between using operating systems or working directly with hardware. For applications where performance, control, and resource efficiency are…
Introduction Artificial intelligence is no longer limited to powerful servers or cloud platforms. With advancements in embedded technology, machine learning models can now run directly on small, energy-efficient devices. This…
Introduction Artificial intelligence is no longer limited to powerful servers or cloud platforms. With advancements in embedded technology, machine learning models can now run directly on small, energy-efficient devices. This…
Introduction Modern computer vision goes beyond simply identifying objects in an image. Instance Segmentation is a cutting-edge technique that not only detects objects but also draws precise pixel-level boundaries around…
Introduction In the fast-growing field of computer vision, Object Tracking plays a vital role in enabling machines to follow and analyze moving targets in real time. From autonomous vehicles to…
Introduction In today’s fast-paced digital era, embedded devices are omnipresent—from smart home appliances and medical devices to autonomous vehicles and industrial machinery. At the heart of these systems lies RTOS…
Introduction In today’s data-driven world, computer vision plays a vital role in how machines interpret and interact with visual information. From autonomous cars to facial recognition systems, the ability to…
Introduction Machine learning has rapidly become a cornerstone of data-driven decision making, and among its many algorithms, the Random Forest Classifier and Regressor stands out as a versatile and highly…
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