Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...

A complete list of papers about adversarial examples It appears that the List of All Adversarial Example Papers has been experiencing crashes over the past few days. In the absence of this valuable ...

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving cars. U.S. National Academies report on AI and the Future of Work, study ...

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Ultrasound and artificial intelligence-guided algae microrobots delivered chemotherapy deep into tumors in mice, paving the way to improved bladder cancer care.

Can an ESP32 detect people without cameras or motion sensors? Discover how Wi-Fi signal disturbances, CSI, and smart DSP enable real-time occupancy and mov ...