BOOM on MSN

What edge AI means for the future of connected infrastructure and intelligent automation

By Yangchula Bhutia Georgios Bouloukakis, University of Patras; Institut Mines-Télécom (IMT) “Edge computing”, which was ...
IEEE

Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning

Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...

What is ‘Edge AI’? What does it do and what can be gained from this alternative to cloud computing?

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...
Live Science on MSN

'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

Speechify's AI Voice Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI

Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...
WeLiveSecurity

PromptSpy ushers in the era of Android threats using GenAI

ESET researchers discover PromptSpy, the first known Android malware to abuse generative AI in its execution flow.
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...