Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
Use of a large language model (LLM) for pan-cancer automated detection of anti-cancer therapy toxicities and translational toxicity research. Computational pathology to predict docetaxel benefit in ...
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.
Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...
A new review titled Artificial Intelligence and the Discovery of Antibiotics: Reinventing with Opportunities, Challenges, and ...
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 ...
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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.
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New machine-learning tools could help organisations flag more phishing sites before ...
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