- Sir Ben Ainslie says Land Rover’s artificial intelligence (AI) could prove the difference in bid to win the America’s Cup for the first time for Britain
- Land Rover’s big data processing and machine learning technology will help Land Rover BAR create the world’s fastest match racing catamaran
- Ex Formula 1 engineer Richard Hopkirk hails Land Rover’s power to crunch ‘F1 levels of data’ as crucial in pursuit of marginal gains
- Land Rover’s Self Learning Car technology helping to crack the code for increased boat performance
- Land Rover BAR team aims to bring home world’s oldest sporting trophy to Britain for the first time in its 165-year history
- Land Rover BAR race in Portsmouth 22 – 24 July for next leg of the Louis Vuitton America’s Cup World Series
Monday 18th July 2016, Whitley: Sir Ben Ainslie has hailed Land Rover’s artificial intelligence (AI) as a ‘game changer’ ahead of the British America’s Cup team’s home event in Portsmouth (22-24 July).
Land Rover, Title and Exclusive Innovation Partner to Land Rover BAR, is applying its big data processing power and machine learning expertise to help co-engineer the fastest boat in America’s Cup history and bring the world’s oldest sporting trophy to the UK for the first time.
Land Rover engineers, embedded into the team for over a year, are using artificial intelligence to explore and find patterns in sailing performance data to help ‘make the boat go faster’. When testing, the sailing team receives over 16 GB of uncompressed data per day from sensors on the boat - the equivalent of filling an iPhone’s memory. The ability to process and make sense of this volume of data is unprecedented in sailing. Something that would have taken weeks can now be achieved instantaneously thanks to Land Rover’s computing power and real-time analysis.
The power of intelligent machines is a vital area where Land Rover’s research and development division is adding considerable strength to Land Rover BAR’s challenge to win the America’s Cup. The 34th America’s Cup showed just how important it is to maintain stable flight on the foils through these manoeuvres. Land Rover is helping us understand what makes the difference between staying airborne and crashing back into the waves. We know races can be won or lost by a matter of seconds and this is where Land Rover’s AI could prove the difference.
Sir Ben Ainslie
Land Rover BAR Team Principal and Skipper
Machine learning evolved from the study of pattern recognition and computational learning theory in artificial intelligence (AI). Sailing is a perfect application for these technologies because there are many variables - mainly the wind.
Sensors on the testing boats measure more than 300 variables from fibre optic strain measurement to six-axis accelerometer and sonic sensors which measure the distance from the boat to the water. Richard Hopkirk, Land Rover BAR Head of Systems and Analysis, is acutely aware of the importance this data has in giving the team a competitive edge.
Unlike a Formula 1 car – where the engine’s power output can be accurately calibrated – the wind is constantly changing. This makes it difficult to quantify performance improvements when the power input is unknown.
This is where Land Rover’s machine learning expertise comes in. The intelligent algorithms can sort through vast quantities of data and see patterns in the variables; patterns that could never be recognised by a human analyst; patterns that ultimately can make the difference between winning and losing a race.
Land Rover BAR Head of Systems and Analysis
Jaguar Land Rover is an automotive pioneer in machine learning. Its Self Learning Car is working to provide the ultimate intelligent driving experience by understanding and working with the driver's personal preferences.
Mauricio Muñoz is part of the Self Learning Car team and the Land Rover engineer spearheading this project. After graduating from university in Germany and completing a Masters in software engineering (Munich) and machine learning (at MIT in Boston) he was recruited directly into Jaguar Land Rover’s Advanced Engineering Team.
The 27 year-old’s first task was to analyse specific manoeuvres, looking for the optimal way to sail the boat. Since then he has applied machine learning to model the stability of the boat for optimum speed.
At Jaguar Land Rover we are using machine learning techniques to identify behavioural patterns, how people go about interacting with their cars, with the end goal of automating a lot of it.
The project at Land Rover BAR is a bit different. The focus is not so much whether the pattern is there but what is causing the pattern and how to visualize it. Understanding this will present a radically new view of on-the-water performance, leading to better decision-making in the boat design and testing cycle.
Land Rover engineer - Part of the Self Learning Car team
Muñoz is one of many young talented Jaguar Land Rover engineers lending their expertise to the Land Rover BAR design team.
Land Rover BAR is second in the America’s Cup World Series rankings following a podium finish in Chicago. The next leg is in front of a home crowd in Portsmouth (21-24 July), when they will try to close the ten-point gap to series leaders Emirates Team New Zealand.