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2:57:07ZH → English
Zhang Xiaojun Podcast· Jul 7, 2025Podcast · 2 speakers余凯: From AI Research to a Decade Building 地平线Guest 余凯 · Host 张小珺地平线 founder 余凯 looks back on 30 years of research and entrepreneurship, from choosing a technology direction and focusing on cars to his predictions for AI.
1:32:16ZH → EnglishZhang Xiaojun Podcast· Jun 20, 2025Podcast · 2 speakersWang Xin on Mercedes-Benz China R&D: Redefining Luxury and Safety Through TransformationGuest 王忻 · Host 张小珺Wang Xin, who leads R&D at Mercedes-Benz China, looks back on two decades of technology cycles in China’s auto industry and how the local team moved from testing support into product development. As intelligent features intensify competition, he argues that speed, data, and localization must rest on safety and user experience.
54:33EN
Lex FridmanPodcast · 2 speakersVision or Lidar, Human or Machine: Lex Fridman's 2019 Map of the Self-Driving RaceGuest Self-Driving Cars · Host 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 FridmanPodcastSteering Through Time: How Recurrent Networks and LSTMs Learn from SequencesHost 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 FridmanPodcastHuman-Centered or Fully Autonomous? Lex Fridman's Case for Collaboration Between Driver and MachineHost 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 FridmanPodcastFrom Looping Forklifts to Self-Driving Cities: Sertac Karaman on Motion PlanningHost Lex FridmanAn MIT professor traces motion planning from the DARPA Urban Challenge to the future of transportation and the cities built around cars.