US Army leaders say soldiers are drowning in so much battlefield data that AI is needed to make sense of it all

Personnel won't be able to fully process all the data available on the modern battlefield. That's where artificial intelligence applications come in.

AI-Ready Data: A Paradigm Shift From Traditional Data Governance To Agent-Driven Intelligent Enablement

AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.
IEEE

Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks

Abstract: With the arrival of 5G technology, networks face critical challenges in detecting anomalies that can significantly impact performance and reliability. This paper introduces QAED (Quantized ...
International Business Times

AI Efficiency Starts with Data Meaning, Not Model Size

Over the last few years, the AI sector has been a competitive "bigger is better" race: larger models, more parameters, costly training runs, and enough energy consumption to power small cities.
IEEE

A Tabular Variational Auto Encoder-Based Hybrid Model for Imbalanced Data Classification With Feature Selection

Abstract: Cancer is the deadliest disease in humankind. Ovarian Cancer (OC) is important among female-specific cancers. Epithelial Ovarian Cancer (EOC) is the most commonly occurring subtype of OC.