XuanTie RISC-V Contest on Innovation of Applications, organized by the T-Head Open Chip Community, has been held for the third time in a row. Over the past two years, nearly 3,000 developers joined the competition and developed over 500 innovative solutions covering Industrial Intelligence, Robotics, Visual Devices, Wearables, In-vehicle devices, Carbon neutrality, Smart Community, Smart home, etc.
Explore the innovative applications of deep learning in areas such as robotics, robotic arms, and drones. Focus on the combination of image processing with foundation models and multimodality.
Explore the applications of high-computing-power RISC-V processors in intelligent connected vehicle scenarios, including in-vehicle entertainment, security and anti-theft, energy management, intelligent load planning and scheduling, and intelligent charging piles.
Explore the applications of technologies such as deep learning and intelligent recognition in wearable interaction (for an enhanced user experience) and VR-based human-machine interaction.
Explore the applications of high-performance RISC-V processors in fields such as industrial intelligence, energy consumption management, carbon peaking, and carbon neutrality.
(1) The learning material zone provides software, hardware documents, and application examples for development boards.
(2) Experience the development board through the online lab to understand interfaces and basic functionalities.
(3) Engage in multiple developer boot camps, interact with technical experts, and experience the development board.
(4) Submit creative proposals in formats like WORD, PDF, ZIP, or other compressed file formats. (5) For further inquiries, join the competition DingTalk group: 34204266.
(1) Participating teams must submit their final works within the specified time. Teams failing to submit will be required to return the development boards.
(2) Technical issues during project development can be discussed in the competition's DingTalk group.
(1) Entries qualifying for the finals will undergo online voting.
(2) The final list of winners will be announced on November 30th."