Chip Ganassi Racing × OpenAI
Chip Ganassi Racing 与 OpenAI 携手探索 AI 如何改变赛车运动。我们正将最细微的细节转化为赛道上的优势。
当赛车遇见研究
Chip Ganassi Racing has long pursued performance at the highest level, with 17 championships and five wins in the last six seasons. In a sport driven by innovation, they set out to be the first team to harness the power of AI for a competitive edge.
That ambition led to an unexpected connection. OpenAI researcher Joyce Ruffell, a lifelong motorsports fan, met CGR’s EVP of Business Operations, John Olguin, at a Women in Motorsports event in Indianapolis. What began as a serendipitous introduction quickly evolved into a partnership.
In its first year, the focus was using AI to make sense of the team’s vast data—from car sensors to race and pit crew performance. Now, it’s about connecting those insights and freeing engineers to think strategically, where gains of just tenths of a second can decide a race.
研发：系列
跟随 OAI 研究员 Joyce Ruffell 和 CGR 团队的旅程，看他们如何在追逐连续第二个 IndyCar 冠军的过程中，从每一份数据中寻找竞争优势。
CGR 车队开局强势，正力争延续势头，帮助车手 Alex Palou 在传奇的长滩大奖赛中拿下个人首胜。
数据驱动
赛车运动高度依赖数据，输入来源包括历史记录、每一次测试和比赛环节、赛车传感器，甚至维修区车组的表现。OpenAI 正帮助 Ganassi Racing 收集并连接这些数据，让工程师能够更专注于战略思考，并发现那些可能以零点几秒决定比赛胜负的效率提升空间。
一辆 Ganassi IndyCar 赛车上装有 200 多个传感器，在比赛期间每小时可生成近 10 亿个数据点。
“我们一直在与 Chip Ganassi 团队合作，打造多款比赛日工具，目的是帮助他们更快、更准确、更高效地获取数据。”
核心团队
OpenAI 的研究员和工程师正与 Chip Ganassi Racing 携手合作，重新定义研究如何在赛道内外得到应用。
“Ganassi 带来了它的赛车知识。OpenAI 带来了它的前沿智能。而我们正把这些结合起来，用于做出决策并跑得更快。”
