Abstract: We show that the conventional first-order algorithm of unification can be simulated by finite artificial neural networks with one layer of neurons. In these unification neural networks, the ...

The seven decades of "artificial intelligence" have been marked by exaggerated promises, surprising developments and ...

To train with default parameters on the tinyshakespeare corpus, run python train.py. To access all the parameters use python train.py --help.

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, ...

Artificial Neural Networks (ANNs) are bio-inspired models of neural computation that have proven highly effective. Still, ANNs lack a natural notion of time, and neural units in ANNs exchange analog ...

Verseon, a pioneering company in physics- and AI-powered drug discovery, revealed that its AI technology significantly ...