AI is ultimately a story about selfhood—and the answer will not be found in the machine, but in what mindful awareness allows ...
How can quantum field theories be best formulated on a lattice to optimally simulate them on a computer? The answer comes ...
This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
The nervous system does an astonishing job of tracking sensory information, and does so using signals that would drive many computer scientists insane: a noisy stream of activity spikes that may be ...
Abstract: The study presents the application of Artificial Neural Networks (ANNs) for pattern recognition, modeling, and analyzing their performance using MATLAB. Two neural architectures are compared ...
The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how trustworthy they really are. ChatGPT maker OpenAI has built an experimental ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
Leadership from KAI, Hanwha Systems, Funzin and KAIST at the center's opening ceremony. Credit: Korea Aerospace Industries SINGAPORE—Alongside Hanwha Systems and local artificial intelligence (AI) ...
Current AI technology has hit a wall that prevents it from reaching artificial general intelligence. The next design leap involves adding a type of complexity that attempts to mimic the way the human ...
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