We studied the occurrence and nature of learning in a university first year Introduction to Geomorphology course, and its relations with prior knowledge taught in a prerequisite course, and with the ...

Imagine a hospital in rural Texas can have the same AI capabilities as a research hospital in New York City running cutting edge AI to help with the diagnosis while preserving patient privacy. This is ...

Machine learning (ML) Is an intelligent data mining technique that builds a prediction model based on the learning of prior knowledge to recognize patterns in large-scale data sets. We present an ...

在医疗数据隐私保护备受关注的当下，研究人员开展了将联邦学习（FL）和差分隐私（DP）集成用于乳腺癌检测的研究。结果显示，FL 结合 DP 在隐私预算ε=1.9时准确率达 96.1% ，有效平衡了数据保护和医学预测，为临床应用提供了可靠方案。 在当今数字化时代 ...

Brian Huge and Antoine Savine combine automatic adjoint differentiation with modern machine learning. In addition, they introduce general machinery for training fast, accurate pricing and risk ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Artificial intelligence promises to ...

In the midst of the COVID-19 pandemic, the School of Economics and Finance (SEF) found a way to successfully engage with different approaches to learning via online content delivery. Dr Vimal ...

Apple on Wednesday published another paper through its Machine Learning Journal, this time covering the topic of differential privacy — the technology it employs to collect big data from customers ...