As Industrial IoT (IIoT) networks expand, so do cyber threats. Can AI-driven security systems keep up? Let's explore how AI-powered intrusion detection can transform IIoT cybersecurity, detecting ...

AI-enhanced glucose monitoring provides predictive analytics and personalized insights for better blood sugar management.

Crowd control at entrances is a common way in our daily life to ... Specifically, the strategy of DRIFT is a basic actor–critic framework adapting a shared long short term memory (LSTM) layer to ...

Alternative splicing (AS) of pre-mRNA plays a crucial role in tissue-specific gene regulation, with disease implications due to splicing defects. Predicting and manipulating AS can therefore uncover ...

The one advantage combat pilots had over artificial intelligence was unpredictability. Now a new study has put that in ...

LSTM, TCN and CNN-BiLSTM. The framework’s superior computational efficiency and prediction accuracy highlight its potential for real-time implementation in exoskeleton systems, addressing critical ...

A recent study out of China has generated buzz, with researchers claiming that their AI system has successfully defeated ...

No other preprocessing of data was performed such as artifact removal or control for changes in signal quality. The amplitude was normalized so the raw values would fall into a range that was well ...

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