Abstract: In this paper, we propose a novel backpropagation algorithm for delay-Doppler (DD) sensing using Zak transform-based orthogonal time frequency space (OTFS) modulation. We present the system ...

// (c) The BioChemical Library (BCL) was originally developed by contributing members of the Meiler Lab @ Vanderbilt University. // (c) // (c) The BCL is now made available as an open-source software ...

// (c) The BioChemical Library (BCL) was originally developed by contributing members of the Meiler Lab @ Vanderbilt University. // (c) // (c) The BCL is now made available as an open-source software ...

If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...

In this video, we will understand Backpropagation in RNN. It is also called Backpropagation through time, as here we are backpropagating through time. Understanding Backpropagation in RNN helps us to ...

Build your own backpropagation algorithm from scratch using Python — perfect for hands-on learners! Parkinson’s Isn’t Just Bad Luck. Scientists Reveal It’s Largely Preventable—and the Culprit Is All ...

Abstract: A general backpropagation algorithm is proposed for feedforward neural network learning with time varying inputs. The Lyapunov function approach is used to ...

Obtaining the gradient of what's known as the loss function is an essential step to establish the backpropagation algorithm developed by University of Michigan researchers to train a material. The ...

A new technical paper titled “The backpropagation algorithm implemented on spiking neuromorphic hardware” was published by University of Zurich, ETH Zurich, Los Alamos National Laboratory, Royal ...

Natural neural systems have inspired innovations in machine learning and neuromorphic circuits designed for energy-efficient data processing. However, implementing the backpropagation algorithm, a ...