Finding good benchmarks is an important and pervasive problem in machine learning for healthcare. This Perspective highlights key aspects that require scrutiny in the whole process of benchmark ...
Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...
Inadmissible noncitizens, some seeking asylum, are processed by CBP officers at the San Ysidro Port of Entry on November 23, 2018. (Mani Albrecht/CBP) Millions of people are forcibly displaced ...
This paper comprehensively surveys existing works of chip design with ML algorithms from an algorithm perspective. To accomplish this goal, the authors propose a novel and systematical taxonomy for ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As an enthusiastic digital marketer who is passionate about search engine optimization (SEO) ...
Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning ...
Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.
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