A University of Idaho lab received $1.3 million from the Department of Defense to study early detection methods for ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
On Thursday, Oct. 16, Santa Clara University will serve as host of the 14th annual Bay Area Machine Learning Symposium, an event dedicated to exchanging ideas and sharing new research in machine ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
At the world’s largest artificial-intelligence conference, known as NeurIPS, Weichen Huang almost blended in. Last month in Vancouver, he was one of numerous researchers explaining their ...
Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...
Cost estimation, a pivotal component in project management and production planning, has increasingly harnessed the power of machine learning techniques to augment accuracy and efficiency. By ...
OpenAI has unveiled “PaperBench,” a benchmark designed to evaluate how effectively AI agents can replicate innovative machine learning research. This initiative is a cornerstone of OpenAI’s broader ...
A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.
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