计算机行业周报：哪些要素决定了自动驾驶水平？

Investment Rating - The report maintains an "Overweight" investment rating for the industry [1] Core Insights - The report highlights the significant advancements in autonomous driving technology, particularly the shift from traditional control algorithms to end-to-end neural network solutions, exemplified by Tesla's FSD Beta v12.3 update [2][13] - Data accumulation is crucial for training autonomous driving algorithms, with Tesla's fleet surpassing 20 billion miles driven under FSD supervision, and domestic players like Huawei and Li Auto also reporting substantial mileage [3][30][38] - The competition for computing power is intensifying, with Tesla's GPU count exceeding 60,000 and expected to reach nearly 90,000 by the end of 2024, while domestic companies are also ramping up their capabilities [4][42][44] - The talent acquisition landscape is competitive, with companies vying for high-quality personnel to drive advancements in autonomous driving technology [50][51] Summary by Sections Algorithms - The transition to end-to-end algorithms represents a major leap in autonomous driving, allowing for more natural and human-like driving experiences [2][15] - End-to-end systems eliminate information loss during processing, relying entirely on data-driven learning, which enhances generalization capabilities [20][22] Data - Data is essential for training autonomous driving algorithms, with a feedback loop established through real-world driving data, enabling continuous improvement of the algorithms [29] - Tesla's FSD has seen rapid growth in driving mileage, with over 50% of the 20 billion miles driven since the release of FSD v12 [30][33] Computing Power - Computing power is foundational for AI algorithms, with Tesla's current GPU capacity significantly enhancing its autonomous driving capabilities [4][42] - Domestic competitors are also investing heavily in computing resources, with companies like Li Auto and Huawei rapidly expanding their capabilities [44][45] Talent - The demand for high-quality talent in the autonomous driving sector is increasing, with companies actively recruiting experts in AI and related fields [50][51] - The competition for talent is fierce, with companies like Xiaopeng Motors planning to recruit thousands of developers to enhance their AI and autonomous driving capabilities [53] Brand Building Capability - Huawei's brand influence has grown, with its Harmony Intelligent Mobility Alliance becoming a leading player in the domestic market, achieving the highest sales among new energy vehicle brands in the first half of 2024 [56] Investment Opportunities - The report suggests focusing on companies within the Huawei intelligent vehicle ecosystem, Tesla's supply chain, and various players in the domestic autonomous driving industry [57]