AI (Artificial Intelligence)

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SilverFox hackers use fake Claude apps to target companies in Asia: Kaspersky

ai, AI (Artificial Intelligence), Artificial Intelligence

Cybersecurity group SilverFox is exploiting artificial intelligence across Asia Pacific. They distribute fake Claude AI applications for various operating systems. Kaspersky researchers identified SilverFox as a highly active threat group in the region. This group targets manufacturing, IT, healthcare, and finance sectors with sophisticated attacks.

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VMware Cloud Foundation as the Operating System for the Datacenter: A Practical VCF 9.1 Mental Model

ai, AI (Artificial Intelligence), Artificial Intelligence, VCF (Cloud Foundation), vCF (VMware Cloud Foundation)

TL;DR VMware Cloud Foundation is not literally an operating system, but the comparison provides a useful architectural mental model. VCF coordinates compute, storage, networking, security, observability, automation, and lifecycle management as parts of an integrated private cloud platform. The real value is not that vSphere, vSAN, NSX, VCF Operations, and VCF Automation appear in the

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Training AI Models for Indoor Layout & Room Segmentation: Why High-Quality Datasets Matter

ai, AI (Artificial Intelligence), Artificial Intelligence, Training Data

As organizations invest in indoor scene parsing and spatial AI, a common question emerges: Who prepares these datasets, and what does the process involve? Preparing datasets for indoor layout is more complex than simply collecting images. It requires a combination of semantic annotation, 3D scanning, geometric validation, metadata management, and human quality assurance. In this

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room segmentation

Training AI Models for Indoor Layout & Room Segmentation: Why High-Quality Datasets Matter

ai, AI (Artificial Intelligence), Artificial Intelligence, Training Data

As organizations invest in indoor scene parsing and spatial AI, a common question emerges: Who prepares these datasets, and what does the process involve? Preparing datasets for indoor layout is more complex than simply collecting images. It requires a combination of semantic annotation, 3D scanning, geometric validation, metadata management, and human quality assurance. In this

Training AI Models for Indoor Layout & Room Segmentation: Why High-Quality Datasets Matter Read More »