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Michael Lämmerhofer from the Institute of Pharmaceutical Sciences, University of Tübingen, Germany, spoke to JFK Huber ...
The second paper addresses the challenge of efficient unsupervised learning on unlabeled data. In this setting, ML models must learn both the structure of the data (how each feature and sample are ...
Both Cowen and Wolf created short documents to present the findings of research on private school choice in simple terms. We got permission to share Cowen’s updated “Quick Hits of Voucher Research” ...
Analysis flags hundreds of studies that seem to follow a template, reporting correlations between complex health conditions ...
My new research suggests there is ... to have been produced by high-volume paper mills. Additionally, almost half of the Chinese authors in our sample were affiliated outside China, so paper ...
A new University of Massachusetts Amherst study delivers clear evidence of how large language models (LLMs), such as ChatGPT, ...
Michael Dong recently discussed sample preparation (SP) techniques for small-molecule drug substances and solid dosage forms.
She was the only ophthalmologist from Jharkhand to participate in this convention and given the opportunity to present 2 research papers. Dr. Bharti Kashyap said that she has presented two ...
Microsoft, contradicting beliefs of Java developers responding to a survey, said they don't need to learn AI, master machine ...
ML models consistently outperform traditional methods in out-of-sample prediction of new IMF-supported arrangements with key predictors that align well with the literature and show consensus across ...
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