Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...
A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures. Metal nanoparticles catalyze reactions ...
The National Academies of Sciences, Engineering, and Medicine are private, nonprofit institutions that provide expert advice on some of the most pressing challenges facing the nation and world. Our ...
Tech companies have developed machine learning models and algorithms expeditiously in recent years. Those familiar with this technology likely remember a time when, for instance, bank personnel and ...
A body of trustworthy AI research addresses interpretability, privacy, and robustness through rule-based modeling, federated learning, and adversarial defense. The studies explore how AI systems can ...
This guest essay reflects the views of Nirali Somia, a graduate student at Cold Spring Harbor Laboratory. It is part of a series of essays from current researchers at the Cold Spring Harbor Laboratory ...
The course emphasizes interpretable machine learning techniques and their applications in the financial services industry. Students will develop machine learning models, explain model predictions, and ...
Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...
Imagine you're a doctor using a new AI tool that suggests an atypical treatment plan for a patient with a complex medical condition. How do you know whether the model's recommendation is trustworthy - ...
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