The Qwen family from Alibaba remains a dense, decoder-only Transformer architecture, with no Mamba or SSM layers in its mainline models. However, experimental offshoots like Vamba-Qwen2-VL-7B show ...

A decade of progress in machine learning is redefining how low-cost air quality sensors deliver reliable data for public health and environmental policy, according to a new review published in ...

Abstract: Non-gradient descent learning schemes have recently gained attention for their efficient training and simplification of learning control parameter tuning. However, most methods are designed ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. With the rise of deep learning, researchers have begun to use ...

Neural networks have long been powerful tools for handling complex data-driven tasks. Still, they often struggle to make discrete decisions under strict constraints, like routing vehicles or ...

Abstract: The proposed motion cueing algorithm (MCA), based on a reinforcement learning algorithm using gradient information to directly update the control policy, introduces three significant ...

Long short-term memory (LSTM) networks have become indispensable tools in hydrological modeling due to their ability to capture long-term dependencies, handle non-linear relationships, and integrate ...

ABSTRACT: Anomaly detection in complex crowd scenes is a challenging task due to the inherent variability in crowd behaviors, interactions, and scales. This paper proposes a novel hybrid model that ...

This paper provides an important proposal for why learning can be much faster and more accurate if synapses have a fast component that immediately corrects errors, as well as a slower component that ...