GitHub

Deep Asymmetric Recurrent Networks in JAX.

darnax is a research library for building and experimenting with asymmetric recurrent neural networks and their learning dynamics. Inspired by recent work on local plasticity and representational ...
IEEE

A Neural-Network-Based Model for the Dynamic Simulation of the Tire/Suspension System While Traversing Road Irregularities

Abstract: This paper deals with the simulation of the tire/suspension dynamics by using recurrent neural networks (RNNs). RNNs are derived from the multilayer feedforward neural networks, by adding ...
cryptopolitan

Ethereum layer-2 teams challenge Buterin’s call to abandon scaling focus

Buterin says L2s should move beyond scaling focus. L2 leaders split on whether scaling should remain central. Arbitrum defends scaling; Base and StarkWare say they’re already specialized. Ethereum ...
CoinDesk

'You are not scaling Ethereum': Vitalik Buterin issues a blunt reality check to the biggest crypto networks

Ethereum co-founder Vitalik Buterin said the role of layer-2 networks needs to be reconsidered as Ethereum’s main network continues to scale and transaction costs remain low. In a post on X, Buterin ...
IEEE

Financial Statement Prediction and Analysis Based on Gated Recurrent Unit-Multi Layer Perceptron (GRU-MLP)

Abstract: Background: The development of financial markets impacted the financial situations of enterprises, business and organizations have grown significantly. The key component of financial ...