A cooperation between the forward-thinking Spanish company Xouba and the high-tech Belgian firm xyzt.ai has been announced. Xouba specializes in mobility analytics and road safety.
Xouba, a company with locations in the US and Europe, aims to eliminate all traffic accidents. It is leveraging data from floating vehicles to assist government organizations in understanding the major concerns with road safety.
Collecting data records obtained by connected automobiles is known as floating vehicle data.
It has millions, if not billions, of GPS coordinates and the speeds of the cars using our roadways. It provides answers to numerous traffic and road safety-related concerns that can’t be addressed by data that has already been aggregated at the street segment level, making it a potent data source for study.
However, traffic analysts must use specialized data science methods because more tools are needed to handle vast amounts of data records. Because of the time and effort required by this ad hoc method, floating vehicle data frequently goes unused.
As a result, Xouba switched from a time-consuming data science process to a productive no-code/low-code data analysis workflow by choosing the xyzt.ai platform. As a result, Xouba has shaved weeks off the time it takes to gain insight. In addition to doing analysis activities, it also employs the xyzt.ai platform to produce insightful reports shared with its stakeholders.
According to Lida Joly, CEO of xyzt.ai, “there are multiple hundreds of millions of linked automobiles operating on our roads, and the volume is only growing.” “Billions of data points on driver behavior and traffic usage are produced by connected automobiles. Numerous insights into traffic efficiency and road safety can be gained from this data. However, the spatial, temporal, and data size issues make it challenging to operate with connected vehicle data. So I’m overjoyed that Xouba has chosen xyzt.ai to use our on-demand self-service analytics platform to shorten the time to insight.
José Carlos Valdecantos, CEO of Xouba, claims that “road efficiency and safety affect us all.” “We are in the business of assisting our clients in making trustworthy, data-driven decisions to improve and be safe on the roadways. We can now execute our analysis much more instantly and interactively thanks to xyzt.ai, significantly decreasing the labor we have to do while also creating reports and extracting insights faster.
A multinational research team has discovered a crucial group of genes connected to successful racehorses.
Comparing the genomes of Thoroughbred, Arabian, and Mongolian racehorses to those of horses bred for other sports and leisure, researchers from Asia, Europe, North America, and the Irish equine science company Plusvital were able to identify a group of genes that are important for muscle, metabolism, and neurobiology.
When compared to animals from non-racing breeds, it was discovered that these genes were distinct in racing horses and shared by all racing breeds.
Professor Emmeline Hill of University College Dublin, the project’s lead scientist and Plusvital’s Chief Science Officer, remarked, “Since the discovery of the ‘Speed Gene’ in 2009, we have gathered genetic data for thousands of Thoroughbreds and equines from other breeds.”
“This is the first time a gene set has been connected to the popularity of a racing breed.”
We used an approach to see if genes were comparable across all racing breeds and whether they differed from non-racing breeds. Two of the genes were previously discovered for performance in Thoroughbreds and Arabians.
Selective breeding for distinct breeder-desired characteristics has methodically created the huge array of horse breeds that have grown worldwide over the last hundreds of years. Tall horses, tiny horses, strong draught horses, practical riding horses, and quick racing horses are the results of this.
“Although racing is a complex attribute, with management and training having a considerable impact on a racehorse’s success,” stated co-author and the University of California, Davis Professor David MacHugh.
The champion Ajnai Sharga Horse Racing Team’s breeding facility in Khentii province, Mongolia, the birthplace of Chinggis Khan, was the site of the study, which was conducted and published in Communications Biology, an open-access publication from Nature.
