This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...
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Build a deep neural network from scratch in Python
We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
Abstract: This article proposes a neural network (NN)-based calibration framework via quantization code reconstruction to address the critical limitation of multidimensional NNs (MDNNs) in ...
Abstract: Polarization-adjusted convolutional (PAC) codes are an advanced variant of polar codes, capable of approaching the dispersion bound in certain cases. However, to achieve the near-bound ...
B. Heller-Kaikov, R. Pail and M. Werner, Neural network-based framework for signal separation in spatio-temporal gravity data. Computers and Geosciences (2025), doi ...
The Secret Service discovered more than 100,000 SIM cards and 300 servers, which could disable cellular towers or be used to conduct surveillance. By Eileen Sullivan Reporting from Washington The ...
Researchers unveil OneFlip, a Rowhammer-based attack that flips a single bit in neural network weights to stealthily backdoor AI systems without degrading performance. Autonomous vehicles and many ...
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