Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
An artificial intelligence-based deep learning algorithm significantly improves the sensitivity of emergency clinicians in ...
Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
Mohapatra’s goal is to design robust deep learning frameworks capable of adapting to practical sensing scenarios in healthcare, continuous sensing, and audio domains.
In a world ruled by feeds and filters, these ten non-fiction books remind you what real insight feels like. Each one cuts ...
WriteNinja.AI, a technology firm specializing in artificial intelligence content solutions, announced today the launch of an advanced content algorithm designed to transform AI-generated text into ...
On a scorching July afternoon in Shanghai, dozens of Chinese students hunch over tablet screens, engrossed in English, math and physics lessons. Algorithms track every keystroke, and the seconds spent ...
New study presented at HRX Live 2025 demonstrates continued advancement of company’s AI program HeartBeam's AI algorithm performed equally well on HeartBeam 3D ECG system and standard 12L ECGs in ...
ABSTRACT: Timely and accurate detection of plant diseases is essential for improving crop yields and ensuring food security, particularly in regions like Cameroon, where farmers often rely on visual ...
Abstract: LiDAR enables high-precision 3D point cloud acquisition. Ground filtering is critical for DEM/DSM generation. Addressing challenges posed by multi-scenario point clouds and complex terrains, ...
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