Nature

Pythagorean fuzzy time series approach based on hybrid high-order artificial neural network for nonlinear time series forecasting

Fuzzy time series forecasting methods rely on the fuzzification of time-series observations through membership functions and the subsequent use of fuzzy-valued variables in the forecasting process.
IEEE

Overparameterized ReLU Neural Networks Learn the Simplest Model: Neural Isometry and Phase Transitions

Abstract: The practice of deep learning has shown that neural networks generalize remarkably well even with an extreme number of learned parameters. This appears to contradict traditional statistical ...
LinkedIn

SimpleSwap × Bittensor.ai: One Swap Into the Decentralized AI Network

SimpleSwap swap infrastructure is now live on Bittensor.ai. Any of 2,800+ cryptocurrencies can be swapped directly into TAO: wallet-to-wallet, without a centralized exchange account. For a network ...
IEEE

Generating Simple Cyclic Memristive Neural Network Circuit With Controllable Multiscroll Attractors and Multivariable Amplitude Control

Abstract: Due to their synaptic-like characteristics and memory properties, memristors are often used in neuromorphic circuits, particularly neural network circuits. However, most of the existing ...
LinkedIn

Why custom engineering might be the simplest solution

For customers who want an extra layer of confidence before committing, we offer access to our CoLab - an in-house test lab where we validate applications and let customers see their solution running ...