As next-generation mobile networks grow more complex, high-density 5G environments are placing enormous pressure on ...

TinyML takes edge AI one step further, making it possible to run deep learning models on microcontrollers (MCU), which are much more resource-constrained than the small computers that we carry in ...

The concept is called deep learning because it requires layers of neural networks that mimic how the human brain processes information. Internet companies are using deep-learning software, which ...

This SDK will make it easier for companies to run deep learning programs directly on devices like smartphones and drones — if they’re powered by one of Qualcomm’s chips, of course.

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models.