本期播客记录了英伟达(NVIDIA)首席执行官黄仁勋在CES展会上的主题演讲内容,核心展示了关于计算平台范式转移的深刻见解。他详细阐述了英伟达如何通过端到端的技术栈——从新一代Vera Rubin高性能芯片到Alpamo自动驾驶模型——将人工智能从数字屏幕推向物理AI(Physical AI)与机器人领域。通过对比传统计算与现代生成式AI的差异,他强调了合成数据生成、推理能力以及开源模型在加速全球工业和科研创新中的战略地位。此外,还通过与梅赛德斯-奔驰及Snowflake等行业巨头的对话,展示了... more
本期播客深入探讨这份《2026年AI10大趋势分析报告》,指出2026年将是人工智能从实验性探索向企业级工程化与商业化全面转型的关键拐点。预计到2030年,AI将驱动近20万亿美元的全球经济增长,当前企业的生成式AI投资回报率已达1:3.7,显示出巨大的价值潜力。
报告深度解析了十大核心趋势:在技术形态上,AI正通过自主智能体(Agentic AI)多智能体协同从单纯的对话生成走向复杂的自主行动,并借助具身智能(Physical AI)混合量子AI正在优化算力效率,而预测性网络韧性和**可信溯... more
本期播客深度探讨谷歌、阿里巴巴与字节跳动在人工智能领域展开的“全栈式”生态主权竞争。谷歌凭借自研的TPU芯片与深度整合的硬件体系,试图巩固其在算力底层与移动终端的垂直化霸权。阿里巴巴则通过Qwen大模型的开源策略与云端协同,致力于打造普惠的AI操作系统以赋能商业生态。字节跳动采取了激进的“破坏性创新”路径,利用豆包手机和智能耳机等硬件入口重构用户交互,力求成为智能体时代的流量霸主。三家巨头从底层算力、算法模型到交互终端各展所长,共同勾勒出全球AI产业向全栈整合演进的竞争格局。
本期播客聚焦这份来自麦肯锡(McKinsey)的年末报告2025年人工智能(AI)在企业中的应用现状。 其调查数据显示,尽管绝大多数组织都在使用AI,甚至开始试验 AI智能体(Agentic AI),但大多数企业仍处于 初步扩展和试验阶段,尚未实现大规模的企业级价值。报告强调,高绩效组织(AI high performers)不仅追求效率,还将AI作为创新和业务转型的催化剂,并且在重新设计工作流程、高级领导层支持以及风险缓解方面做得更好。 此外,报告还讨论了AI对员工人数变化的预期,以及企业在应... more
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今日深度AI launched 6 months ago and published 65 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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