A critical procedure in diagnosing atrial fibrillation is the creation of electro-anatomic activation maps. Current methods generate these mappings from interpolation using a few sparse data points ...

Spiking Neural Networks (SNNs) have shown favorable performance recently. Nonetheless, the time-consuming computation on neuron level and complex optimization limit their real-time application.

According to Jean-Rémi King, leader of Meta’s “Brain & AI” research team, the system is able to determine what letter a skilled typist has pressed as much as 80% of the time, an accuracy high enough ...

config_frequentist.py: Hyperparameters for main_frequentist file. @article{shridhar2019comprehensive, title={A comprehensive guide to bayesian convolutional neural network with variational inference}, ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

AI revolutionizes initial inventory planning and stockpiling by estimating demand even when historical data is missing. This optimizes procurement, reduces costs, and prevents stockouts. AI-driven ...

Artificial intelligence is reshaping the dairy supply chain, optimizing logistics and resource management while tackling ...

Nvidia Corporation greatly benefited from the AI boom with its GPUs driving neural networks and machine-learning models.

The PlayStation Network is suffering what appears to be a massive outage heading into the weekend. PlayStation 5 and PS4 ...

AI-created computer chips could revolutionize how our computers run, but scientists say they're so complex we can't ...

Collaboration can be a beautiful thing, especially when people work together to create something new. Take, for example, a ...

As digital interactions dominate modern communication, the rapid evolution of cyber threats demands robust security measures ...