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2:57:07ZH
Zhang Xiaojun Podcast· 7 jul 2025Pódcast · 2 voces余凯：从人工智能研究到地平线的创业十年Invitado: 余凯 · Presenta: 张小珺地平线创始人余凯回顾三十年的研究与创业经历，讲述如何选择技术方向、聚焦汽车市场，以及他对人工智能未来的判断。
1:32:16ZHZhang Xiaojun Podcast· 20 jun 2025Pódcast · 2 voces王忻谈奔驰中国研发：在转型中重划豪华与安全Invitado: 王忻 · Presenta: 张小珺奔驰中国研发负责人王忻回顾中国汽车产业二十年的技术周期，也讲述中国团队如何从测试支持走向产品研发。面对智能化竞争，他认为速度、数据和本地化必须建立在安全与用户体验之上。
54:33EN
Lex FridmanPódcast · 2 vocesVision or Lidar, Human or Machine: Lex Fridman's 2019 Map of the Self-Driving RaceInvitado: Self-Driving Cars · Presenta: Lex FridmanThe opening lecture of MIT's 6.S094 course surveys 2018's milestones, the industry's optimistic predictions, and the beliefs about driving and humans that will decide who wins.
1:15:59ENLex FridmanPódcastSteering Through Time: How Recurrent Networks and LSTMs Learn from SequencesPresenta: Lex FridmanLex Fridman's MIT 6.S094 lecture walks from backpropagation basics to LSTMs and the way they are used to predict steering in self-driving cars.
1:13:18ENLex FridmanPódcastHuman-Centered or Fully Autonomous? Lex Fridman's Case for Collaboration Between Driver and MachinePresenta: Lex FridmanLecture 2 of MIT's 2018 course on deep learning for self-driving cars covers the two paths to autonomy, how sensors compare, who is building what, and where deep learning can help.
1:02:24ENLex FridmanPódcastFrom Looping Forklifts to Self-Driving Cities: Sertac Karaman on Motion PlanningPresenta: Lex FridmanAn MIT professor traces motion planning from the DARPA Urban Challenge to the future of transportation and the cities built around cars.