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Using data to make improved decisions.

Abdul Latif Jameel Poverty Action Lab (J-PAL), Algorithms, Artificial Intelligence, Behavior, Behavioral economics, Business and management, Classes and programs, Data, Economics, Electrical Engineering & Computer Science (eecs), Health care, Health sciences and technology, Industry, Leadership, Machine learning, MIT Schwarzman College of Computing, School of Engineering, School of Humanities Arts and Social Sciences, Technology and policy, UncategorizedJune 7, 202442Views0Likes0Comments

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The Fine Line between Aid and Interference: Insights from Informatics on Healthcare AI

Artificial Intelligence, Clinical Decision Support, Clinical Workflow, UncategorizedJune 7, 202439Views0Likes0Comments
Artificial Intelligence (AI) is increasingly being integrated into healthcare, promising enhanced efficiency and improved patient care. Employed more as a supplement rather than a substitute to human decision-making, AI in healthcare serves multiple functions ranging from alerts integrated in electronic medical records (EMRs), to advanced large language models (LLMs) capable of making highly accurate clinical…

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Matrices of Quantized Eigenvectors for Second-Order Optimization of 4-bit Deep Learning Networks

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 7, 202434Views0Likes0Comments
Deep neural networks (DNNs) have found widespread success across various fields. This success can be attributed to first-order optimizers such as stochastic gradient descent with momentum (SGDM) and AdamW. However, these methods encounter challenges in efficiently training large-scale models. As an alternative, second-order optimizers like K-FAC, Shampoo, AdaBK, and Sophia have demonstrated superior convergence properties,…

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