Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
Nanowerk

Fluorescent film enables optical computing with built-in memory and display

Researchers create a photochromic fluorescent system that performs optical neural computing and visual output in one step, cutting power use and complexity. (Nanowerk News) The rapid growth of ...
IEEE

New Recurrent Neural Network for Different-Level Sylvester Matrix Equation System: A Direct Discrete Architecture Perspective

Abstract: Discrete time-varying problems are pervasive in the fields of engineering and science. Traditional handling schemes to discrete problem often involve the intervention of continuous-time ...
Frontiers

Design and analysis of combined discrete-time zeroing neural network for solving time-varying nonlinear equation with robot application

Zeroing neural network (ZNN) is viewed as an effective solution to time-varying nonlinear equation (TVNE). In this paper, a further study is shown by proposing a novel combined discrete-time ZNN ...
C&EN

Thermodynamics Analysis of a Reaction-Diffusion Matrix Multiplication Computing Unit under the Linear Non-Equilibrium Regime

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Implementations of matrix multiplication via diffusion and reactions, thus eliminating ...
EurekAlert!

New 'optical neural engine’ solves partial differential equations

The researchers’ device applies principles of neural networking to an optical framework. As a wave encoded with a PDE passes through the ONE’s series of components, its properties gradually shift and ...
GitHub

Imprecise matrix multiplication can cause networks to violate robustness constraints

It turns out that matrix multiplication in JAX is not precise by default. Neural networks in flax get around this by writing their own wrapper around the underlying matrix multiplication function.