How Google Cloud is helping Team USA elevate their tricks with AI

2026-02-05 · Source: AI · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Robotics & Autonomous Systems · Depth: Intermediate, medium

Summary

Google Cloud has developed an AI-powered video analysis platform to assist U.S. Ski & Snowboard athletes, including snowboarder Maddie Mastro and freeskier Alex Hall, in refining their freestyle skiing and snowboarding tricks. Launched on February 5, 2026, this industry-first tool leverages Google DeepMind's spatial intelligence research to map athlete motion from standard 2D smartphone video, even through bulky winter gear. The platform processes data in minutes, providing rapid, data-backed feedback. Coaches and athletes can interact with this data using Gemini's multimodal capabilities, asking natural language questions like, "How did that takeoff angle compare to the best run yesterday?" This system aims to enhance performance by offering precise biomechanical insights in near real-time on the slopes, moving beyond traditional motion capture's environmental constraints.

Key takeaway

For Computer Vision Engineers developing sports analytics tools, this Google Cloud platform demonstrates how to deliver real-time, high-precision biomechanical analysis using standard smartphone video and advanced AI models like DeepMind and Gemini. You should explore integrating spatial intelligence research and multimodal interfaces to enable immediate, data-driven feedback for athletes, even in challenging outdoor environments, thereby expanding the utility of your solutions beyond controlled settings.

Key insights

AI-powered video analysis transforms smartphones into biomechanics labs for real-time athletic feedback.

Principles

• AI can map complex motion from 2D video.
• Real-time feedback enhances athletic performance.
• Multimodal AI enables natural data interaction.

Method

The platform uses Google DeepMind's spatial intelligence to map athlete motion from 2D video, processes data on Google Cloud, and allows coaches to query results using Gemini's multimodal interface for data-backed feedback.

In practice

• Use smartphones for high-precision motion capture.
• Integrate AI for rapid biomechanical analysis.
• Employ multimodal AI for natural data querying.

Topics

• AI Sports Training
• Video Biomechanics Analysis
• Motion Mapping
• Gemini AI
• Google DeepMind

Best for: Computer Vision Engineer, AI Product Manager, Domain Expert, AI Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI.