End to end, every segment of what we do is driven by some form of intelligence,” said Indira Uppuluri, SVP of supply chain ...
Arista Networks is emerging as a top choice for AI data center networking. The shift from proprietary InfiniBand and NVLink to Ethernet is accelerating. Expanding into enterprise and WAN markets can ...
This project implements and compares deep learning models (DeepAR & N-BEATS) for multivariate time series forecasting of daily temperature. Using the Darts library, it showcases feature engineering ...
Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs well ...
Abstract: Pedestrian trajectory prediction plays a crucial and fundamental role in many computer vision tasks. Most existing works utilize recurrent neural networks to extract temporal features from ...
Cognitive Neurorobotics Research Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Onna, Japan Voss et al. (2018) proposed a model where mental states alternate between ...
The brain operates as a predictive system, using an internal model to predict upcoming sensory inputs under uncertain conditions. Although prediction error signals ...
The findings of this study are valuable, offering insights into the neural representation of reversal probability in decision-making tasks, with potential implications for understanding flexible ...
Abstract: Ultra-reliable low latency communication (URLLC) systems are pivotal for applications demanding high reliability and low latency, such as autonomous vehicles. In such contexts, channel ...
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