AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our ...

This work models reinforcement-learning experiments using a recurrent neural network. It examines if the detailed credit assignment necessary for back-propagation through time can be replaced with ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

Part 2 of an end-to-end story about the design and manufacturability of a golf putter looks at reverse engineering and additive manufacturing parameters for this project. The author explains how ...

Earlier this year, the Milwaukee Brewers similarly decided to forego plans with MLB Media to pursue a deal with FanDuel Sports Network. Per the release, the Reds’ deal with Main Street is just ...

The early 1990s were an interesting time in the PC world, mainly because PCs were entering the zeitgeist for the first time. This was fueled in part by companies like Intel and AMD going head-to ...

Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential ...

Abstract: The exploration of quantum advantages with Quantum Neural Networks (QNNs) is an exciting endeavor. Recurrent neural networks, the widely used framework in deep learning, suffer from the ...

AI models like artificial neural networks and language models help scientists solve ... Experts like Maddison Masaeli, an engineer scientist and chief executive officer at Deepcell, are happy about ...

Common sense has been viewed as one of the hardest challenges in AI. That said, ChatGPT4 has acquired what some believe is an impressive sense of humanity. How is this possible? Listen to this week’s ...