Abstract: We conducted a longitudinal study during the 2022 U.S. midterm elections, investigating the real-world impacts of uncertainty visualizations. Using our forecast model of the governor ...

Peer reviewers judge the validity and quality of new research. These judgements would ideally be impartial, but some reviewers may give a more favourable review if they are cited in the article ...

Discover why researchers in high-energy physics rely on the GaGe RazorMax Express—an efficient, high-performance digitizer.

Background Current microbiome-based therapeutics face two prominent issues: the limited clinical efficacy of probiotics and the significant variability in the efficacy of microbiota transplantation ...

The codebase provides the official PyTorch implementation and some model checkpoints for the paper "AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement" (accepted ...

Current Python alternatives for statistical models are slow, inaccurate and don't scale well. So we created a library that can be used to forecast in production environments or as benchmarks.

Abstract: The core problem of visual multi-robot simultaneous localization and mapping (MR-SLAM) is how to efficiently and accurately perform multi-robot global localization (MR-GL). The difficulties ...