Smart devices respond to wake words like “Alexa,” “Hey, Siri,” or “OK, Google” using a machine-learning technique called keyword spotting.
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CNN-based system improves lung nodule detection and classification
Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
15don MSN
Deep learning detects foodborne bacteria within three hours by eliminating debris misclassifications
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria ...
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How I built a glowing lighthouse diorama with a deep-sea monster | Fantasy miniature tutorial
Dive into the captivating world of miniature crafting as we guide you through creating an illuminated lighthouse diorama, complete with detailed shipwrecks and a glowing deep-sea monster. Explore ...
While the use of unmanned surface vessels is helping the U.S. Navy overcome the tyranny of distance, the key component is the data collected and strategically distributed across decision-makers and ...
Bitwise Bitcoin ETF offers pure Bitcoin exposure currently facing a 44% drawdown from its all-time high. BITB is in a pronounced downtrend, driven by macro 'Risk-Off + Stagflation' conditions and ...
Li and colleagues developed a deep-learning model to analyze EEG recordings and detect event-level EEG spikes. 2. The model achieved high accuracy and a low false-positive rate, with only 32% of human ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
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