An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

The integration of biological principles into artificial visual systems is advancing machine vision, enabling superior ...

1 KNDS Deutschland GmbH & Co. KG, Munich, Germany 2 Institute for Software Technology, University of the Bundeswehr Munich, Neubiberg, Germany Artificial intelligence (AI) has emerged as a ...

Machine learning and neural nets can be pretty handy, and people continue to push the envelope of what they can do both in high end server farms as well as slower systems. At the extreme end of the ...

Artificial neural networks are machine learning models that have been applied to various genomic problems, with the ability to learn non-linear relationships and model high-dimensional data. These ...

Abstract: As an effective parametric modeling technique, the artificial neural network-based model provides accurate and rapid predictions of electromagnetic (EM) response behaviors for devices. This ...

Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning! Can You Guess What Letter Is Not in Any U.S. State Name? Toddler Erupts in Tears ...

In this file, the SimpleNet class is defined. This class inherits from nn.Module and represents a simple feedforward neural network with two fully connected layers. The first layer transforms input ...

// aiming to reduce RAM and flash-memmory (aka. PROGMEM) usage. CAUTION: Use Save_NN_to_internal_EEPROM.ino TO SAVE AN NN INTO EEPROM FIRST, BEFORE USE OF THIS SKETCH CAUTION: Use ...