- Strava has launched updates to its platform
- Settings include improvements in the integrity of the classification table and the high step exchange
- Its AI feature is also leaving beta thanks to positive comments, with some new features to the trailer
Strava, the best fitness application for runners and cyclists, has launched a series of updates to its platform that bring improvements to your coach with AI, as well as the integrity of the classification table and the Flyover exchange settings.
Starting with AI, last year, the company presented Athlete Intelligence, a new health coach with AI who gives her information about her progress. It offers unique readings for this activity and analysis based on your performance to provide a more instantaneous sense of progress.
Strava has added virtual execution and driving data, as well as information on power and analysis of segments to the intelligence of athletes, and, excitingly, the characteristic is now out of beta. The company says that this is based on positive comments from runners and corridors, who reported more precise ideas with fewer errors.
Strava are subject to the anomalies of the classification table
If you have ever seen a Strava classification table score that obviously registered in a car or an electronic bicycle, we have good news. Strava is now using automatic learning to automatically analyze activities in Strava. You can identify unrealistic speeds, GPS errors and other anomalies to stop the results of the biased classification table and eliminate “atypical values and possible violations of the rules.”
Strava says that the next step will be to prevent bicycle walks from appearing in the classification tables, and the classification tables are plagued by scores achieved using the best electric bicycles.
Strava is also updating the exchange outside the elevated passage platform, so subscribers can now load their step directly to Instagram stories or by means of a link shared to other platforms.
Finally, subscribers can now compare their efforts past side by side to track improvements and progress. Its progress summary table will include a comparison mode to contrast recent activities with training ranges in the past.
