
吴何团队出品。
《基业长青》作者吉姆·科林斯讽刺管理成功学时说,他们的发现是,每家成功的企业都拥有一栋大楼。由此可见,拥有大楼是企业成功的原因。
如何避免重复“发现大楼”的错误?除了掌握个体的经验事实,还需要追踪基于证据的研究。将故事、研究与管理理论联系起来,还原管理决策的真实情境与选项。
| Publishes | Weekly | Episodes | 384 | Founded | 7 years ago |
|---|---|---|---|---|---|
| Language | Number of Listeners | Categories | EducationCoursesBusinessManagement |

每周新书听友群微信号:yinmingshu002。音频文字发布在公众号“北京读天下”。车夫团队需要克服一项主要技术挑战是图像识别,比如行人的特征,特别是两条腿移动作为识别特征,其他包括宠物的运动特征、自行车、滑板、轮椅、儿童车。最难的图像识别是交通警察的手势。在图像识别基础上,车夫团队开发了行为引擎,用于判断对象的行为趋势。例如,前方道路变窄,右侧车辆可能会加速,无人驾驶预见这种可能,就会减速避让。右侧有一辆自行车,前方有一车辆临时停车占用道路,自行车会进入无人驾驶车辆前方道路,需要提前减速。在... more
每周新书听友群微信号:yinmingshu002。音频文字发布在公众号“北京读天下”。Google不是传统企业,佩吉想要的是能够改变世界的技术。Google没有提出具体的产品目标,而是为团队设置了两个里程碑指标。一是距离,要求在公共道路上累计完成10万英里无人驾驶里程。二是难度,两位Google创始人在加州挑选了10条路线,总共1000英里,要求Thrun团队在这些路段验证无人驾驶技术。有些路段难度相当大,有一条路线经过旧金山伦巴弟街,是当地出名难走的路段。如果按时完成挑战,团队将获得丰厚的奖金... more
每周新书听友群微信号:yinmingshu002。音频文字发布在公众号“北京读天下”。第一届比赛的结果暴露出无人驾驶技术的一处瓶颈,计算机视觉能力非常弱,经常发生错误判断,比如无法区分阴影和障碍物,会将车辆错误叫停。有些团队干脆禁用视觉功能,或者大幅度降低视觉功能的决策权限,主要依靠激光雷达判断障碍物。Thrun的评价是,参赛车辆没有真正看到道路。Thrun运用机器学习方法,让计算机对比激光雷达返回的信息和人类驾驶员的决策,学习如何排除误报,机器学习的成果实现了几个数量级的提升,激光雷达误报从1... more
每周新书听友群微信号:yinmingshu002。音频文字发布在公众号“北京读天下”。2004年3月,已经有100支团队提交了参赛申请。不过其中大多数只是概念,最终通过审查进入资格赛阶段的只有25支队伍。进一步的检查发现,这些车辆的情况普遍不大好。DARPA的比赛规则是每支车队要跑两遍,这项要求几乎不可能达到。在资格赛的第一天,参赛的8支车队中,没有一支能够跑完全程,开始的几辆甚至无法启动。6:30分,第一批6辆车启动,沙漠风暴打头,以五分钟一辆的间距出发,每辆车后面都跟着一辆监测车,车里安装着... more
很喜欢这个栏目,内容精彩,点评到位,很有教育和启发意义。盼望该栏目回归继续。
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #29 | |
Apple Podcasts | #139 | |
Apple Podcasts | #200 |
Listeners, social reach, demographics and more for this podcast.
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