A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
Researchers demonstrate that misleading text in the real-world environment can hijack the decision-making of embodied AI ...
An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...
HybridLeg robots Olaf and Snogie use impact-safe design and self-recovery to enable scalable, real-world hardware ...
UK lawmakers urged regulators to introduce AI-focused stress tests for banks, warning that autonomous algorithms and cloud concentration risks could threaten stability.
The inversion of the one-dimensional wave spectrum from dual-polarized synthetic aperture radar (SAR) data is performed using machine learning methods, namely Random Forest (RF), eXtreme Gradient ...
Abstract: The widespread use of the internet has led to frequent cryptographic attack event incidents, which pose various risks, including the leakage of personal information, privacy data, identity ...
Overview AI wearables in India are rapidly evolving from basic fitness trackers to intelligent personal assistants for health ...
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
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