AI sheds light on hard-to-study ocean currents

The Indonesian Throughflow carries both warm water and fresh water from the Pacific into the Indian Ocean. As the only ...
eLife

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
Learn With Jay on MSN

Backpropagation through time explained for RNNs

In this video, we will understand Backpropagation in RNN. It is also called Backpropagation through time, as here we are ...
Hosted on MSN

Types of RNNs: Which one to use and why?

In this video, we will look at different types of Recurrent Neural Networks. There are mainly 3 types of Recurrent Neural Networks. 1) many-to-one 2) one-to-many 3) many-to-many The type of Recurrent ...
The Conversation

Nobel Prize in physics spotlights key breakthroughs in AI revolution − making machines that learn

Ambuj Tewari receives funding from the NSF. If your jaw dropped as you watched the latest AI-generated video, your bank balance was saved from criminals by a fraud detection system, or your day was ...
Semiconductor Engineering

Sparse Finite Element Problems on Neuromorphic HW (Sandia National Lab)

A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...