Understanding the feed-forward mechanism is required in order to create a neural network that solves difficult practical problems such as predicting the result of a football game or the movement of a ...

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...

With the help of Python and the NumPy add-on package, I'll explain how to implement back-propagation training using momentum. Neural network momentum is a simple technique that often improves both ...

One-way functions are central to cryptography and the digital world. Researchers at ETH Zurich have now developed such a function for the physical world. Their new technology is based on a pool of one ...

A negative-input buck-boost converter IC operating in continuous conduction mode produces a positive output voltage using an external power MOSFET and PNP transistor. Some applications require a ...

A new molecular test method helps to prove the authenticity of works of art. The new method could also help to make passwords secure against quantum computers. Security experts fear Q- Day, the day ...