IEEE

A Multi-Branched Hybrid Perceptron Network for DDoS Attack Detection Using Dynamic Feature Adaptation and Multi-Instance Learning

Abstract: The increasing sophistication and frequency of Distributed Denial of Service (DDoS) attacks necessitate advanced detection systems. These attacks leave networks vulnerable to disruptions, ...
Smithsonian Magazine

In the Early Days of Machine Learning, Massive Computers Said George Harrison Was a Woman. A.I. Has Come a Long Way

A Cornell professor designed a room-size network of sensors that represented a single neuron. He claimed it would grow wiser ...
IEEE

Toward a Standardized Representation for Deep Learning Collective Algorithms

Abstract: The explosion of machine learning (ML) model size has led to its execution on distributed clusters at a large scale. Many works have tried to optimize the process of producing collective ...