Chandra Sekhar Bonthu pioneers data governance and automation (like DQD) to eliminate data silos and inconsistencies in life ...

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in convolutional neural networks. This tutorial explains the intuition, mathematical ...

Strategic surveillance systems are no longer experimental. They are operational tools embedded in law enforcement, border ...

When AI teams deliberately and carefully design their training datasets, they can actively reduce bias, mitigate risk and improve model reliability.

AI is no longer experimental in retail as nearly half of retailers use it weekly to drive personalization, loyalty and growth.

Researchers have developed a novel attack that steals user data by injecting malicious prompts in images processed by AI systems before delivering them to a large language model. The method relies on ...

ABSTRACT: Lake Victoria, the largest freshwater lake in Africa and a vital resource for over 45 million people across Kenya, Uganda, and Tanzania, is experiencing escalating environmental degradation ...

Abstract: This study presents an AI-driven framework for predicting transmission frequency in cables using magnetic field data, offering a modern alternative to conventional analytical methods. A ...

The Cleveland Clinic is partnering with San Francisco–based startup Piramidal to develop a large-scale AI model that will be used to monitor patients’ brain health in intensive care units. Instead of ...

Google is introducing powerful tech for agents and data. They are also introducing a series of data-centric agents. A new command-line AI coding tool is now available. I am no stranger to hyperbolic ...

A novel malware family named LameHug is using a large language model (LLM) to generate commands to be executed on compromised Windows systems. LameHug was discovered by Ukraine’s national cyber ...