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 ...
Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.
At the forefront of scientific research, our faculty are dedicated to advancing theoretical understanding and practical applications of AI technologies. RIT's College of Science faculty are actively ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New machine-learning tools could help organizations flag more phishing sites before ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
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Machine learning vs deep learning: Which one is better?
Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.
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