Right now, most examples of deep learning are neither deep enough nor widespread enough to make much of a difference. Deep learning must become the evolutionary force we so badly need at this ...

Deep learning's availability of large data and compute power makes it far better than any of the classical machine learning algorithms. ... As an example, in y = mx+c, we have 2 weights: m and c.

From machine learning and deep learning to generative AI and natural language processing, different types of AI models serve various use cases—for example, automating tasks, developing better ...

For example, in 2017 Ashish Vaswani et al. introduced transformers, ... And if we have those breakthroughs, will we be able to approximate all human intelligence through deep learning?

This example showed how radar and communications modulation types can be classified by using time-frequency signal-processing techniques and a deep-learning network. In the second example, we will ...

It is a combination of “deep learning” – which is a subset of AI that uses neural networks – and “fake.” The result is that it's possible to manipulate videos that still look authentic.