Deep learning is a subset of machine learning that focuses on creating neural networks that can learn from large datasets and achieve high levels of accuracy in tasks such as image recognition and natural language processing. Deep learning is used in many applications, such as speech recognition, self-driving cars, and medical diagnosis. Popular deep learning platforms include TensorFlow, PyTorch, and Keras. See the full story Edge computing is a distributed computing paradigm that brings computation and data storage closer to the edge of the network, in order to reduce latency and improve performance. Edge computing is used in many applications, such as autonomous vehicles, smart cities, and industrial automation. Popular edge computing platforms include Microsoft Azure IoT Edge, AWS IoT Greengrass, and Google Cloud IoT Edge.