The complexity of the human brain—86 billion neurons strong with more than 100 trillion connections—enables abstract thinking ...

Neural network models that are able to make decisions or store memories have long captured scientists' imaginations. In these ...

robust and precise detection of out-of-distribution (OOD) data is crucial for enhancing operational efficiency and reducing downtime. This article introduces the energy-driven graph neural OOD ...

This important work substantially advances our understanding of episodic memory by proposing a biologically plausible mechanism through which hippocampal barcode activity enables efficient memory ...

In this article, a distribution, scale and context sensitive, convolutional neural network-based state of charge estimation model is proposed. First, the proposed model improves generalization by ...

AI models like artificial neural networks and language models help scientists ... AI model called SyntheMol to design small molecules that possess antibacterial activity against Acinetobacter ...

transmission and distribution was the top source of greenhouse gas emissions in Nova Scotia in 2022, according to Statistics Canada's latest annual accounting of emissions from economic activity.

The neural network input and output can then ... which is the price at which we entered the bet, metrics of the distribution on how the price developed the hour before (min max, media, std skew etc).

S&P VIX Index and SKEW creations (based on recent options trading activity) are pointing to heightened market risk, suggesting the potential for a significant price downturn. Similar historical ...