Embedded AI combines machine learning with edge devices for local, real-time intelligence. Courses range from beginner to advanced, covering TinyML, signal processing, and deployment. Ideal for ...

Abstract: The recent tiny federated learning (TinyFL) paradigm has generated significant interest in enabling resource-constrained edge devices to perform local machine learning training. TinyFL ...

Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process of ...

Locks come in many types — not just mechanical, but also electronic. Various mechanisms to open electronic locks have been devised, such as keypads, fingerprints, facial scans, and more. In the ...

Future economic growth could be significantly impacted by AI chips, which will unavoidably be used in robotics, smart homes where electronic items are becoming more intelligent, cars that are becoming ...

Religious wars have been a cornerstone in tech. Whether it’s debating about the pros and cons of different operating systems, cloud providers, or deep learning frameworks — a few beers in, the facts ...

Deep learning is changing our lives in small and large ways every day. Whether it’s Siri or Alexa following our voice commands, the real-time translation apps on our phones, or the computer vision ...

Abstract: Traditionally, original equipment manufacturers (OEMs) send device-specific over-the-air (OTA) packages to ensure the latest firmware, security patches, etc. With millions of IoT devices, ...

One of the challenges involved in recycling plastic is determining the specific type of plastic a given item is actually made of. To keep up with demand, large scale recycling centers rely on various ...