The latest ASIC that grabbed a lot of attention is OpenAI’s Jalapeño chip, its first in-house inference chip, built with ...

Artificial intelligence is the transformative, strategic technology of the early 21st century. It is significantly reshaping ...

Abstract: The fuzzy logic-based neural network usually forms fuzzy rules via multiplying the input membership degrees, which lacks expressiveness and flexibility. In this article, a novel neural ...

The big picture: You can't go five minutes these days without hearing about AI this and AI that. But have you ever wondered how we got here? The credit largely goes to a groundbreaking neural network ...

One of the most defining characteristics of neural networks is their ability to learn from data, distinguishing them from traditional AI systems that rely on explicit programming. This learning ...

The predictive nature of the hippocampus is thought to be useful for memory-guided cognitive behaviors. Inspired by the reinforcement learning literature, this notion has been formalized as a ...

The ability to associate sensory stimuli with abstract classes is critical for survival. How are these associations implemented in brain circuits? And what governs how neural activity evolves during ...

This study maps the academic literature on Stock Price Forecasting with Long-Term Memory Artificial Neural Networks—RNA LSTM. The objective is to know if it is suitable for time series studies, ...

Although theoretical studies have suggested that working-memory capacity is crucial for academic achievement, few empirical studies have directly investigated the relationship between working-memory ...