Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...
After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...
Scientific knowledge is fundamentally built on data; yet, for too long, microbiome datasets have remained siloed in ...
The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports ...
I'll explore how integrating a comprehensive AI-driven onboarding framework can provide a realistic, effective blueprint for modern financial institutions.
Abstract: Internet of Things (IoT) generates vast amounts of sensor data across various scientific and engineering domains. This raw data is often flawed and unsuitable for analysis due to noise, ...
Abstract: Adversarial phenomena have been widely observed in machine learning (ML) systems, especially those using deep neural networks. These phenomena describe situations where ML systems may ...
U.S. House Republicans are working on the latest attempt to pass a comprehensive federal privacy bill, the Securing and Establishing Consumer Uniform Rights and Enforcement over Data Act, or SECURE ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results