Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...
In conjunction with the newly-announced Google Home Speaker, Google’s smart home ecosystem is getting a massive mid-year ...
Rocket Lab quietly launched a small satellite from New Zealand on Friday in a high-flying military exercise to test the US Space Force’s ability to rapidly respond to a crisis in low-Earth orbit.
BIT Mesra has launched 'HimClimX', an AI-powered platform designed for Himalayan climate intelligence and visualisation. It integrates over a century of climate data to offer trend analysis, anomaly ...
Google Cloud has expanded its enterprise cybersecurity push with AI Threat Defense, as the market shifts towards AI-native threat detection, contextual triage, and supervised remediation. The launch ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...
Abstract: The industrial control anomaly detection algorithm effectively monitors and identifies anomalies in industrial control systems, ensuring timely issue detection to maintain system reliability ...
ABSTRACT: We introduce in this paper MIES-TR, an intelligent model for real-time syllable boundary detection during keyboard typing. This innovative approach positions the syllable as an intermediate ...
ABSTRACT: This study investigates whether anomaly-aware modeling can improve stock price forecasting by incorporating signals that highlight unusual market behavior. Financial time series often ...
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