In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...
In rock-paper-scissors, the ideal strategy is simple: You should play a random move each round, choosing all three ...
The varied topography of the Western United States—a patchwork of valleys and mountains, basins and plateaus—results in minutely localized weather. Accordingly, snowfall forecasts for the mountain ...
CT-Images 数据集包括 $1500$ 张正常胸腔 CT 截面图，$1500$ 张患癌胸腔 CT 截面图。项目目标是实现“正常-患癌”二分类问题，并对 ...
Abstract: Automatic modulation classification (AMC) is one of the crucial technologies for designing an intelligent and efficient transceiver for future wireless communications. However, the channel ...
Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
13d
Being a data scientist in the US can help you earn over $100,000 a year: Here’s how to become one
Data science has become one of the most rewarding and future-driven careers in the US, offering an average annual salary ...
How to become a data scientist Want to start a career as a data scientist? Learn how to become a data scientist with career ...
This research bridges traditional Kazakh heritage with modern science by developing a machine learning model to classify Kazakh clans using Y-chromosome data. This paper introduces an innovative ...
Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
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