In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such as SGD and Adam. The core of these strategies relies on a key piece of ...
A new technical paper titled “Hardware implementation of backpropagation using progressive gradient descent for in situ training of multilayer neural networks” was published by researchers at ...
"Understanding Large Models for Humanities Students (1.0)" is written by Penny Liang, offering a simplified perspective to ...
For more than eighty years, deep learning has relied on a simplified model of brain function. Now, a Pittsburgh startup ...
Godfather of AI Geoffrey Hinton remains a towering figure in artificial intelligence. Learn about his education, his role as an artificial intelligence creator, and why he’s widely known for his deep ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...