Uncertainty quantification is a key component for safety-critical systems such as healthcare and robotics, since it enables agents to account for risk when making decisions.

Unqualified images are removed as described in Appendix A.3. Was the "raw" data saved in addition to the preprocessed/cleaned/labeled data (e.g., to

Identifying vessels that do not show up in conventional monitoring systems--known as "dark vessels"--is key to managing and securing the health

The new data shows that 70% of Californians believe in the need for "strong laws to make AI fair." But the data also reveals high levels of skepticism that those laws will ever be enacted. Even more -- 64% -- said they do not trust the federal government. A picture emerges -- The poll adds to a growing collection of data from around the world suggesting that ordinary people are worried about the impact of AI on their lives. In January, I wrote about a U.K. poll that showed 60% of Brits favoring a ban on the development of "smarter-than-human" AI models.

Despite the existence of many applied scenarios where the relationship between a pair changes, change point methods specifically designed for paired data are quite scarce.

A plethora of aspects on the robustness have been studied, ranging from algorithms to their initialization as well as from the width of neural networks to their depth (i.e., the architecture).