Framework sets new benchmarks for 3D atom maps in amorphous materials

Researchers at the California NanoSystems Institute at UCLA published a step-by-step framework for determining the ...
IEEE

Quantitative Frequency-Based Framework for Interpreting Adversarial Examples

Abstract: Deep neural networks are known to be susceptible to imperceptible adversarial perturbations. Many studies aim to interpret adversarial examples in the frequency domain. However, existing ...
International Monetary Fund

A Python Package to Assist Macroframework Forecasting: Concepts and Examples

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...
Frontiers

Generative AI in consumer health: leveraging large language models for health literacy and clinical safety with a digital health framework

1 Independent Researcher, Park City, UT, United States 2 Department of Orthopaedics, Rush University Medical Center, Chicago, IL, United States Generative AI, powered by large language models, is ...
Hacker

How to Build a Modular Selenium + Cucumber Framework in Java

Rama Mallika Kadali is a QA Automation Test Lead with over 15 years of experience in software testing and automation. Rama Mallika Kadali is a QA Automation Test Lead with over 15 years of experience ...
InfoQ

Introducing Embabel: Advanced AI Agent Development for Java Applications

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Traditional caching fails to stop "thundering ...
Harvard Business Review

A New Framework for Going Viral

Not long ago, “going viral” was the gold standard for marketers. A viral campaign meant unprecedented reach, engagement, and brand awareness. The 2012 “Dumb Ways to Die” campaign by Metro Trains in ...
Scientific Research Publishing

Belkin, M., Niyogi, P. and Sindhwani, V. (2006) Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples. Journal of Machine Learning ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...
IEEE

1+1>2: A Dual-Function Defense Framework for Adversarial Example Mitigation

Abstract: Current state-of-the-art plug-and-play countermeasures for mitigating adversarial examples (i.e., purification and detection) exhibit several fatal limitations, impeding their deployment in ...