Doctors could soon reduce epilepsy misdiagnoses by up to 70% using a new tool that turns routine electroencephalogram, or EEG, tests that appear normal into highly accurate epilepsy predictors, a ...
Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...
Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential ...
As nuclear energy ramps up to move towards decarbonization goals, machine learning and AI techniques offer potential to speed ...
The Engineer, often called the Commander's best friend, is one of the most versatile roles in Hell Let Loose. Engineers have an essential role on the battlefield. They perform essential tasks that ...
A reverse mortgage allows seniors to access cash from the equity they've amassed in their home. It can be an appealing prospect: You retain ownership of the property and the funds don't have to ...
A reverse mortgage is a loan, and an annuity is insurance Matt Webber is an experienced personal finance writer, researcher, and editor. He has published widely on personal finance, marketing ...
Oby, Degenhart, Grigsby and colleagues used a brain–computer interface to challenge monkeys to override their natural time courses of neural activity ... suggestive of network-level ...
Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify ...
connecting society with wireless communication networks, and maintaining modern civilization. Circuit design is a starting point of electrical engineering. Circuits are like highways that allow ...
India has witnessed a mass exodus of talent for decades, as highly skilled professionals and students left the country in search of better opportunities abroad. This phenomenon, known as 'brain drain' ...
In this paper, we propose a novel recurrent slice-wise attention network (RSANet), which models 3D MRI images as sequences of slices and captures long-range dependencies through a recurrent manner to ...