Enterprise cybersecurity has shifted from human‑driven patching to autonomous AI warfare. Google Cloud’s Threat Defence initiative redefines contextual triage, remediation, and India’s regulatory edge ...

True Anomaly raised $650 million to produce space interceptors for President Donald Trump's ambitious Golden Dome project. The space startup, which hit a $2.2 billion valuation, is benefiting from ...

WASHINGTON — U.S. defense space startup True Anomaly announced April 28 it raised $650 million in a Series D funding round, valuing the company at $2.2 billion. The financing coincides with the ...

Abstract: The explosive growth of the Internet of Things (IoT) has introduced vast amounts of data and unprecedented security challenges, making effective anomaly detection in IoT environments a ...

The operation of fuel cell electric vehicle-to-grid (FCEV2G) stations presents a significant challenge due to the need to manage onsite hydrogen production, storage, and vehicle dispatch in volatile ...

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...

In-line sensors, which are crucial for real-time (bio-) process monitoring, can suffer from anomalies. These signal spikes and shifts compromise process control. Due to the dynamic and non-stationary ...

Abstract: Anomaly detection (AD) is typically regarded as an unsupervised learning task, where the training data either do not contain any anomalous samples or contain only a few unlabeled anomalous ...