Visibility is a fundamental concept in computational geometry, with numerous applications in surveillance, robotics, and games. This software paper presents T\v{r}iVis, a C++ library developed by the authors for computing numerous visibility-related queries in highly complex polygonal environments. Adapting the triangular expansion algorithm, T\v{r}iVis stands out as a versatile, high-performance, more reliable and easy-to-use alternative to current solutions that is also free of heavy dependencies. Through evaluation on a challenging dataset, T\v{r}iVis has been benchmarked against existing visibility libraries. The results demonstrate that T\v{r}iVis outperforms the competing solutions by at least an order of magnitude in query times, while exhibiting more reliable runtime behavior. T\v{r}iVis is freely available for private, research, and institutional use at https://github.com/janmikulacz/trivis.

Dog's minds are being read! Researchers have used fMRI (functional magnetic resonance imaging) scans of dogs' brains and a machine learning tool to reconstruct what the pooch is seeing. The results suggest that dogs are more interested in what is happening than who or what is involved. The results of the experiment conducted at Emory University in Georgia in the US are published in the Journal of Visualized Experiments. Two unrestrained dogs were shown three 30-minute videos.

When Carol Baker, a 76-year-old driver from Annapolis, Maryland, gets behind the wheel of her 2016 Buick Enclave, her phone automatically connects to the car. She uses the Bluetooth technology to call friends and change the radio station without taking her eyes off the road. "It doesn't always understand what I'm saying," she says. "That can be a little frustrating." But audio commands and touchscreens in cars are more than frustrating for older drivers -- they can be downright dangerous.