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 ...

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 ...

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.

Dubbed CRAK, the new hybrid deep learning model combines a convolution layer, followed by a recurrent layer, an attention mechanism, and a Kolmogorov–Arnold Network (KAN).

The idea is to allow any company to deploy a deep-learning model without the need for specialized hardware. It would not only lower the costs of deep learning but also make AI more widely accessible.