What Are The New Technologies In Sailing? Artificial Intelligence Rocks Power Sailing

What Are The New Technologies In Sailing? Artificial Intelligence Rocks Power Sailing

AI in High Performance Sailing 

Artificial Intelligence & Machine Learning

Artificial Intelligence (AI) has rapidly integrated itself into various high-performance domains, including sports. Sailing, a sport deeply rooted in science and strategy, is no exception to this trend. 

AI has significantly contributed to all essential facets of sailing, from hull and sail design to steering optimization, tactics, and weather prediction. In this article, we’ll delve into the  multifaceted role of AI in high-performance sailing and its transformative impact. 

Designing Optimal Hulls and Sails 

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A saildrone in Dutch Harbor, Alaska, after the 2019 NOAA Arctic missions

The intricate dynamics of hydro- and aerodynamics heavily influence hull and sail design. 

Innovations like Friendship Systems’ CAESES, among others, leverage optimization algorithms  to refine design drafts. By incorporating parameters such as design weather conditions and target boat speed, these algorithms generate valuable design optimizations. Testing these predictions with  a range of sensors, including pressure, colored-water videos, and water speed, and refining them  using real-world data, yields a comprehensive model. This amalgamation of simulated and real data provides the foundation for AI-generated design models, saving time and resources while  enhancing precision. 

Fine-Tuning Trim and Steering 

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A Contender dinghy trimmed for a reach with the sail aligned with the apparent wind and the crew providing moveable ballast to promote planing

Optimizing sail and boat control involves parsing a multidimensional time-series challenge.  Equipped with sensors scattered throughout the boat, monitoring sail settings, balance, rudder  position, and rig tensions, AI analyzes these data alongside GPS coordinates. Through iterative  adjustments of these settings and subsequent correlation analysis, an optimal GPS speed is derived.  The same principle applies to boat steering optimization. Recorded data from various settings and  maneuvers are analyzed to minimize energy loss during maneuvers. The data accumulation process  enhances the accuracy of the AI analysis, culminating in a robust model capable of suggesting  optimal settings and steering strategies. This AI model eliminates the need for resource-intensive  testing sessions, advancing innovation at a faster pace. 

Strategic Deployment of AI in Tactics and Weather Prediction 

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Boats heeling in front of Britannia Bridge in a round-Anglesey race 1998

AI-generated weather models, a staple in meteorology, also find a place in sailing. Deploying  weather buoys across racecourses captures critical data. Machine learning algorithms extract  patterns from this data, facilitating accurate weather predictions and aiding strategic decision making. Additionally, AI can leverage past boat data across diverse conditions to propose  optimized weather routing. This entails identifying the quickest route for a yacht to reach its  destination by merging weather and yacht performance models. 

Insights from AI Integration

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1 – mainsail  2 – staysail  3 – spinnaker  4 – hull  5 – keel  6 – rudder  7 – skeg  8 – mast  9 – Spreader  10 – shroud  11 – sheet  12 – boom  13 – mast  14 – spinnaker pole  15 – backstay  16 – forestay  17 – boom vang 

Several key takeaways emerge from this overview: 

– Continual Model Refinement: Sailing, while grounded in scientific principles,  acknowledges that AI models are not infallible. As more data is accumulated, these models  gain accuracy, though they remain imperfect. Nonetheless, current AI models surpass  human capabilities but still possess room for growth. 

– Comprehensive Tool for Specialized Tasks: AI’s significance lies in its ability to tackle  compartmentalized tasks that are economically infeasible to test in the real world or  challenging for human analysis. Rather than replacing sailors’ split-second decisions, AI  serves as an aid in preparing for the race and analyzing errors of past races to enhance  decision making in future races. 

– An Evolving Landscape: Moreover, AI’s potential in sailing is boundless, with anticipated advancements pushing boundaries. Presently, AI serves as a tool for race preparation and  error analysis, not as an active component during races. 

Fmr Fordham University Sailing Captain Lauren Crossett told us:

“We’ve been racing all over Lake Ontario and using the latest apps that model out future wind forecasts, current, and the boats polars to find the best VMG and essentially tell you when to tack and how fast you should be going. As a result, it’s game changing.”

Crossett & husband above, sailing below:

In conclusion, AI has revolutionized high-performance sailing, streamlining design processes,  enhancing steering precision, optimizing tactics, and empowering weather predictions. Leaning on  AI’s analytical prowess and learning capabilities has yielded invaluable insights, augmenting  sailing’s strategic dimension. While AI remains an indispensable tool, sailors’ quick thinking and  strategic acumen continue to be the ultimate driving force during races. As technology evolves,  AI’s role in sailing is poised to expand further, propelling the sport into new worlds of innovation.

Written by Leopold Maximilian Brandl

What Are The New Technologies In Sailing? Artificial Intelligence Rocks Power Sailing

About the Author: Leopold Brandl is a professional sailor, scientist, and the CEO and majority stakeholder of a race yacht management company. With a background in physics, computer science, and mathematics from Columbia University, Leopold has hands-on hydrodynamics simulation engineering experience at Friendship Systems.In addition, his highly successful track record as a sailor, combined with his scientific expertise, positions him as an expert on the intersection of  technology and sailing.

What Are The New Technologies In Sailing? Artificial Intelligence Rocks Power Sailing