著名投资人拉斯·特维德：将在2031年全面超越人类的AI，没有泡沫｜沸腾之下
穿透技术狂热，追问机器如何重写文明的底层代码。本期是《沸腾之下》系列第07期 文｜博阳 编辑｜徐青阳 技术预测通常在两个极端之间摇摆：要么是模糊的宏大叙事，要么是线性外....
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inDrive联合小马智行与英伟达，计划2027年上半年在哈萨克斯坦首都阿斯塔纳开展自动驾驶出租车测试
网约车平台inDrive与小马智行、英伟达签署合作备忘录，拟于2027年上半年在哈萨克斯坦首都阿斯塔纳启动Gen-7自动驾驶出租车测试，初期配备安全员，目标为最终实现完全无人驾驶；英伟达提供Hyperion平台及Halos安全系统等AI技术支撑。
Information-Driven Design of Imaging Systems
An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measurements and a noise model to quantify how well measurements distinguish objects. Many imaging systems produce measurements that humans never see or cannot interpret directly. Your smartphone processes raw sensor data through algorithms before producing the final photo. MRI scanners collect frequency-space measurements that require reconstruction before doctors can view them. Self-driving cars process camera and LiDAR data directly with neural networks. What matters in these systems is not how measurements look, but how much useful information they contain. AI can extract this information even when it is encoded in ways that humans cannot
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