Ghost of Yōtei, released October 2, 2025, for PlayStation 5, follows Atsu's quest for vengeance against the Yōtei Six. The ...
The mechanical properties of tissue matrix are crucial for maintaining cell health and function. With aging, tissue matrix loses its mechanical integrity and exhibits altered biophysical properties, ...
A new computing era arrives with the breakthrough in how computers can sort information. This vital function, at the heart of ...
Research on complex nonequilibrium processes and nonlinear dynamics has seen remarkable growth, revealing rich behavior across classical and quantum ...
In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
Analog computers, computing systems that represent data as continuous physical quantities, such as voltage, frequency or ...
Abstract: Nonlinear functions (NFs) in Transformers require high-precision computation consuming significant time and energy, despite the aggressive quantization schemes for other components.
This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
"If you want to just be a lawyer, fine. But I think it's an excellent use of your talent to expand beyond legal if you're interested," said Laura Schumacher, former chief legal officer of AbbVie.
ABSTRACT: We consider shape and topological optimization problems for thermoelasticity. A model of thermoelasticity problem is first proposed before presenting the models for which a mathematical ...
Penn Engineers have created the first programmable photonic chip that can train nonlinear neural networks using light, potentially revolutionizing AI by making it faster and more energy-efficient.
Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...
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