In the second quarter of 2024, Tesla demonstrated its commitment to advancing artificial intelligence through several notable patent activities. The company filed 61 patents related to AI during this period, focusing on enhancing autonomous driving capabilities and optimizing AI model performance.
Trend of Publication
| Year(count) | |
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| April(24) | ██████████████████████████████░░░░░░░░░░░░░░░░░░░░░ |
| May(10) | ████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |
| June(27) | ██████████████████████████████░░░░░░░░░░░░░░░░░░░░░ |
Top Publishing Geographies
| Country | ||
|---|---|---|
| EP | 15 | ████████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░ |
| WO | 15 | ████████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░ |
| CN | 11 | ██████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |
| US | 11 | ██████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |
| JP | 6 | ███████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ |
Other Key Innovations
1. Vertical Cooling Solutions for High-Density Electronics
What could Tesla be doing? Given the challenges of managing heat in such environments, especially with high-performance AI chips and batteries, Tesla could be pioneering a cooling system that leverages vertical airflow or heat dissipation mechanisms to more efficiently manage thermal loads.
What does this mean? While cooling solutions are common, the emphasis on a vertical configuration that maximizes efficiency in tight spaces could be a different approach, especially in the context of vehicles where space is at a premium.
Related patents: CN117813570A, TW202415044A, WO2024072973A1, WO2024072966A1
2. AI-Driven Distance Prediction in Autonomous Driving
What could Tesla be doing? Tesla might be refining AI models to enhance the accuracy and reliability of distance prediction for autonomous driving. This could involve:
- Custom neural network architectures: specifically designed to handle the real-time processing demands of distance measurement and prediction.
- Real-world data training: leveraging the massive amounts of driving data Tesla has collected to train these models, making them more accurate in varied and complex environments.
- Edge computing: developing systems where these AI models run directly on the vehicle’s hardware, reducing latency and improving response times.
What does this mean? Tesla’s advantage in having extensive real-world data from its fleet allows it to train models that may be more accurate than those developed by competitors. The focus on optimizing these models specifically for distance prediction could lead to safer and more reliable autonomous driving systems.
Related patents: US11960901B2, CN118140256A, US12010039B2, CN119371240A
Industries Citing Tesla
| Industry | Companies Citing Tesla |
|---|---|
| Automotive | Zoox, BMW, Ford, Rivian and more |
| Tech | Intel, Samsung, Nvidia,Alibaba and more |
| Semiconductor | Qualcomm, AMD, Micron and more |
| Telecommunications | Verizon, Ericsson, Huawei and more |
Top 3 Startups Citing Tesla
| Startup | Cited Patents |
|---|---|
| DeepScale | US20240112051A1 | US20240127599A1 | JP2024073621A | US20240185552A1 | EP4300357A3 | US12014553B2 | US12020476B2 |
| Zoox(Amazon’s Subsidary) | JP7467485B2 | US20240127599A1 | JP2024073621A | US12014553B2 | JP7500687B2 | JP2024084798A | US12020476B2 |
| Pony.ai | US20240127599A1 | JP2024073621A | US12020476B2 |
Where is Tesla focused in this quarter?
| Area | Application |
|---|---|
| Vertical Cooling Solutions for High-Density Electronics | Electric Vehicles, Data Centers, Consumer Electronics |
| AI-Driven Distance Prediction in Autonomous Driving | Autonomous Vehicles, Robotics, Drones |
| Robotic Energy Storage Device Enclosures with Dynamic Cooling | Electric Vehicles, Grid Storage Solutions, Portable Energy Solutions |
| Hardware-Implementable Flow Control Protocol | Autonomous Driving Systems, High-Performance Computing, Industrial Automation |
| Graphical Representations of Hierarchical Data | AI and Machine Learning, Data Analytics, Software Development |
Other Leading Companies innovating in AI
- Samsung
- Apple
