Deep Learning with Yacine on MSN

Inception Net V1 Explained: Step-by-Step PyTorch Implementation

Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
THE WEEK

How does the Nobel Peace Prize work?

Venezuelan pro-democracy campaigner María Corina Machado has won the 2025 Nobel Peace Prize. Despite an unprecedented – and public – campaign for the accolade by Donald Trump, the Norway-based prize ...
IEEE

Novel Norms for Pruning Convolutional Neural Networks

Abstract: Convolutional Neural Networks (CNNs) for object detection in images can have millions of parameters, leading to a large memory footprint and long inference times. These parameters are ...
Frontiers

Efficient spiking convolutional neural networks accelerator with multi-structure compatibility

1 College of Electronic Science and Technology, National University of Defense Technology, Changsha, China 2 College of Electronics and Internet of Things, Chongqing Polytechnic University of ...
GitHub

MACHINE LEARNING FOR QUANTUM NOISE REDUCTION USING DENSITY MATRIX

Quantum computation has the potential for exponential speedup of classical systems in some applications, such as cryptography, simulation of molecular behavior, and optimization. Nevertheless, quantum ...
GitHub

NeuralBot - Neural Network Aimbot

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...
Reason

"God, … Some of Your Early Work on Neural Networks Was Genuinely Groundbreaking,

Iblis: Let me stop you right there. I agree humans can, in controlled situations, provide correct answers to math problems. I deny that they truly understand math. I had a conversation with one of ...
IEEE

Automated Analysis of Biomedical Images Using Convolutional Neural Networks and Deep Learning

Abstract: much emphasis has been placed on automating the analysis of biomedical images for effective diagnosis and treatment of various diseases in medical science. In contrast, it might take a human ...
Finextra

What Are Liquid Neural Networks? The Next Big Leap in Adaptive AI

What if AI could keep learning like a human brain, in new conditions even after it was used, deployed & put to use in real life? A Liquid Neural Network (LNN) is a new type of artificial intelligence ...