Tsinghua Technology Innovation - BMW IT Innovation Joint Challenge Project

#PART 01.    活动背景

Activity Background

In 2022, Tsinghua Technology Innovation - BMW IT Innovation Joint Challenge Project Lab launched the Metaverse Innovation Challenge, in which students worked together to develop innovative business solutions for automobiles under the metaverse, exploring a beautiful picture of the metaverse and future human mobility. With the explosion of ChatGPT at the beginning of this year, AI has ushered in a national craze, and all industries are actively exploring the application scenarios and value realization of AI. How will AI empower the automotive industry and influence the future of the automotive industry and human travel life? Tsinghua Technology Innovation - BMW China IT Innovation Joint Challenge Project Lab proudly launches the Foreseeing the Future Joint AI Innovation Challenge Camp, which aims to encourage participants to use AI technology to solve real-life problems or create innovative applications for practical application scenarios around automotive products and services.

There are four thematic tracks of AIGC Service Intelligence, Guided Tour Intelligence, Vehicle Intelligence and Factory Intelligence in the Challenge, and participants can choose any one of them to submit corresponding innovative solutions.

{ Theme Track }1: AIGC Service Intelligence (Finance / Sales / Aftersales / Branding etc.)

Super large-scale pre-trained models are rapidly penetrating in the field of generative AI, and easy-to-use generalized AI capabilities allow for more possibilities in branding, sales, customer service, and the content, channels and methods of communication. In the present, user co-creation of marketing methods, fan economy, interactive marketing, and communication materials that leap from quality to quantity, it is worth thinking about how these pieces of future signs can be integrated into future scenarios that make branding, sales, and customer service smarter.

At the same time, the change of consumer concept and consumption mode makes auto financial service more active. In the whole life cycle of user auto financial service, how can the application of AI generalized language model make user consumption and financial service more convenient, safe and reliable. Under the premise of profound insight into user needs, how to better serve users based on AI technology for financial domainization scenarios is the focus of this direction.

Output Requirements:

Combine ① copywriting and ② algorithm to generate images, and finally present them in a demo (generate a poster, as the following example; or in video form).

① Copywriting (market research): We recommend intelligent copywriting generation models that are more maturely used in the market. For example, if you type "BMW iX promotional copy", you can get the advanced copy in the example.
② Car images (model development and training): Students need to log into BMW IT AI Lab for model training. For example, enter the text "BMW iX, red, dusk by the sea" to generate the example.

{ Theme Track }2: Guided Tour Intelligence

In the era of AI, a visual digital human assistant is very important for scene guidance. Under the premise of thinking about "how to achieve more intelligent and emotional AI voice dialogues", the BMW offline experience space is used as the actual guidance scene, and a virtual tour assistant in line with the BMW brand style is designed according to the real space, which can be used on cell phones (or other hardware devices) to assist visitors in space tour, product introduction or other business consultation. It can assist visitors in space tour, product introduction or other business consultation on mobile phones (or other hardware devices).

Output Requirements:

① Research the market for algorithms and related technologies that allow for more emotive interaction implementation.
② Design of explanatory digital human with functions such as assisting space tour, product introduction or other business consultation.

{ Theme Track } 3: Vehicle and Machine Intelligence

In the context of digitalization, intelligence and networking, the vehicle as an extension of people's living space, a more intelligent and integrated vehicle system is the soul and core. With the support of artificial intelligence, the connection and extension of mobile travel and office, entertainment, rest, sports and other scenes will be more in-depth and extensive, and the existing AI technology capabilities will make the car more intelligent in the direction of driving experience innovation, deep integration with existing life scenes, and multi-scene experience tandem. The following are the three sub-directions of the car machine intelligence:

Output Requirements:

A set of AI-driven custom functions designed to be integrated into BMW HMI systems. Adaptive dynamic HMI experience design that responds to user preferences and driving habits. A comprehensive assessment of the impact of the personalized HMI experience on customer satisfaction and engagement, as well as recommendations for future improvements. The final result is a complete solution that includes preliminary research, design output and demo effects.

Output Requirements:

A complete solution including preliminary research, design output and demo presentation.

Output Requirements:

Design and conceptualize an AI solution with emotion regulation function for user emotion changes. Pre-research, design output and demo effects should be included.

{ Theme Track }4: Factory Intelligence

In the theme of factory intelligence, four propositions will be released to provide solutions with research and technical optimization, the following are the proposition descriptions and requirements:

① Predictive maintenance based on self-supervised learning
② LLM expert intended personality for complex problem solving
③ Result-oriented interaction between human & machine (refer to GPT automation & service bot)
④ Wireless signal based objective detection

Output Requirements:

① Research report (can be based on "SWOT" approach - Strengths, Weaknesses, Opportunities and Threats):
It should include, but not limited to: understanding of the competition topic; potential solutions in the current market, advantages and disadvantages of each solution; leading companies; opportunities and challenges in practical applications; the format should be critically referred to the "literature review"; PPT or video should be prepared for the final summary and presentation.

② Technology prototype development:
The success indicators should be confirmed with the mentor, such as the reasonableness of model selection, output accuracy and performance (stability and security will not be evaluated in the prototyping stage).

1. Registration and Recruitment

Time: June - mid-July 2023

2. Workshop/Preliminary Competition

Time: August 20, 2023 - August 27, 2023

① Workshops:
AI platform training, project introduction and theme selection, program design.

② Preliminary round:
Proposal submission and idea presentation

3.   Program Development and Optimization

Time: September-October

Project coaching: Tsinghua+BMW joint coaching

4. Final and Awarding

Time: mid-late November

1. Participants: Individuals or teams

① Individuals: Tsinghua students
② Team participation: Core members are Tsinghua students, no more than 6 people in the team

2. Participants guarantee that they have full, complete and exclusive intellectual property rights to the project.

*Please strictly follow the requirements of the registration, otherwise it will affect the competition prize

1. open learning experience

2. Innovative and creative thinking and project application skills

3. Challenge certificate

4. Finalists will have the opportunity to win the Innovation Award and prize money

5. Continuous coaching and support from Tsinghua and BMW

6. Cooperation with BMW to develop your ideas

1. The total prize money for this call for ideas is 100,000 RMB, and no more than six creative solutions will be shortlisted for each award.

2. All participants will have the opportunity to receive free support for equipment and software platform.

Hosted by

Tsinghua University Technology Innovation Research Center
BMW (China) Automotive Trading Co.
Tsinghua University Art and Technology Innovation Base

Co-Organized by
Tsinghua University Student Creativity Space Association

1. Application deadline: July 20, 2023

2. Registration channel: Scan the QR code below to register ↓

If you have any related questions, please scan the code to join the communication and consultation WeChat group of the competition and discuss the consultation in the group ↓