A new website called Moltbook has become the talk of Silicon Valley and a Rorschach test for belief in the state of ...
Agents use facial recognition, social media monitoring and other tech tools not only to identify undocumented immigrants but ...
This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
Abstract: This paper presents a method for controlling the prosthetic leg using surface Electromyography (sEMG) signals, Artificial Neural Network (ANN), and Super Twisting Sliding Mode Control ...
Intelligent Systems course project (MSc in Computer Engineering @ Unversity of Pisa). Design and development of a MLP, RBF networks and Fuzzy System to estimate person's affective state. Design, ...
OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks
OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...
The brain is never completely at rest. Even without external input, it produces spontaneous neural activity that creates synchronized fluctuations across different regions - a process known as ...
Introduction: Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI ...
Researchers have identified a promising new strategy for treating alcohol use disorder (AUD). A novel study found that the dopamine-boosting drug tolcapone increases activity in the prefrontal cortex ...
Abstract: In this paper, the hyperbolic tangent function and its application in a test neural network on a Field Programmable Gate Array are presented, using the Verilog hardware description language.
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