By Mark Stauffer / ContributorThe following article is part of the Next Web:Technology that lets you predict race outcomes by predicting who is going to win and who is not will soon be available in the form of software, but it is unlikely to catch on in the U.S.
The software will be available to businesses, universities, governments, and other organizations, as well as to users.
It will be called “Race” and will be free.
The software will use your data to predict who will win the race, who will not win, and how much money will be on the line.
It can also predict which race sites will have the most spectators and which sites will be closed down in the event of a collision.
It is currently in beta, but the company expects it to be ready by the end of the year.
The first commercial application will be for the NASCAR championship, which is scheduled to be held in July at Charlotte Motor Speedway.
Race can predict where each car will be and which cars will get to the finish line ahead of time.
In addition to predicting the race winners, it can also measure how fast each driver will be at each point.
Race also allows you to view the data, and can automatically update your race prediction to coincide with the race.
It has a database of millions of race-related events.
This allows the company to keep track of which drivers are performing best in particular areas.
The company’s CEO, Andrew Leggett, said that the software can predict the winners of all the events that take place in any given year.
Leggett said the software has already been used to predict the winner of the Tour de France, but that the real application of it will be to predict which drivers will win on the final stage of the Indy 500.
He said that as part of this project, he plans to develop an artificial neural network for this purpose.
Legget said the company was interested in developing a commercial product that would predict who would win the World Series of Poker and other sports events.
He said the new technology could be used in the same way that Google and Apple developed their own predictive technologies for the web.
Legett said that if the race prediction software is successful, he is interested in using the technology in a more commercial capacity, but would not disclose what the potential commercial market might be.
He did not, however, indicate when the software might be available.
Legett has said that he believes the race predictions will be useful to race promoters and other stakeholders in order to predict what the most profitable races will be.
He is also planning to work with some of the major car companies to develop a software product that can predict which cars are going to have the highest profit margins.
LeGett said this could be a combination of predictive technology and advertising technology.
LeGett declined to provide any details on what the software could be useful for.
The technology was developed by the firm Autonomous Vehicles Technology, Inc., a subsidiary of General Motors.
The company has raised $8 million in venture funding from companies including Qualcomm, Google Ventures, Microsoft Ventures, and others.
The race prediction system uses real-time data from the car sensors and cameras that track the driver’s position, braking, steering, throttle, and engine speed.
This information is fed into the software to determine whether a driver has the best chance to win the races.
Leger said that a number of factors are used to decide who wins the race: speed, distance, number of competitors, and the distance between cars.
Legger said that Autonomous Vehicle Technologies has been in development since 2009.
He has previously worked with Google and Microsoft to develop artificial intelligence software that could predict what a driver is going see in a race.
Leger said the goal of Autonomous Technology is to make artificial intelligence a viable part of race forecasting.
He pointed to the company’s work on the car system used in Google’s self-driving cars, which have been used in millions of driverless tests since the beginning of the current race season.
Le Gett said Autonomous Technologies is working with several major car manufacturers to develop software that will be used to determine which cars in a particular series of races will have a higher profit margin.
The system could be developed in tandem with a human race manager to determine the most lucrative races.
In the early days of racing, Le Gett has used his knowledge of artificial intelligence to predict how many drivers would be at the top of the standings.
In his previous role, Leggets was an advisor to the Formula One team, and he is the founder of an artificial intelligence company, Kaggle.
Le Gitts recently joined the board of directors at LinkedIn, which has a big stake in the artificial intelligence industry.
He also serves on the board at Tesla Motors.
He is the CEO of Autonomedia, which he founded.
Leganes job is to help companies develop software systems that predict