Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
Imagine logging into your bank account, not to check a static balance, but to converse with a personalized financial architect that anticipates your next life milestone based on your behavioral ...
When AI-driven detection underperforms, the instinct is to tune the algorithm, retrain the model or push the vendor for a ...
Abstract: To assure the successful operation of connected and automated vehicles, it is critical to detect and isolate anomalous and/or faulty information in a timely manner. To do so, anomaly ...
Abstract: Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much ...
To help operators pick dependable, profitable hardware, SandStar created the Five A Benchmark: Accuracy, Anti-theft, ...
This review explains how soft materials, scalable manufacturing, energy-efficient hardware, and AI are converging to create ...
Artificial intelligence (AI) has become a foundational technology in the development of autonomous vehicles (Garikapati Shetiya, 2024), enabling these systems to perceive their environment, make ...
By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...
There is a revolution underway in Pakistan’s financial sector - and it is being waged not with weapons, but with data, ...
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