IEEE IES Generative AI Hackathon
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Generative Artificial Intelligence (AI) is a rapidly evolving field which is reshaping how we approach problem-solving and creativity in the industrial sector. It encompasses advanced algorithms capable of generating novel, original and unique data outputs across different modalities, including text, images, audio, and various other media forms. This technology is not just an incremental change; it's a paradigm shift offering limitless possibilities for innovation. To encourage and promote the development of generative AI applications, driving this revolution, we are excited to announce the IEEE IES Generative AI Challenge.
Industrial 4.0 is the fourth phase of the industrial revolution focusing on integrating AI and machine learning, IoT, cloud computing, big data analytics, robotics and automation to advance the current state of the industry. This hackathon focuses on revolutionizing industries through Generative AI. Unlock your creativity and problem solving skills to explore how Generative AI can drive innovation, optimise efficiency, and promote sustainability across a variety of industrial and IoT settings. Your solutions may be in but are not limited to the following areas.
Explore ways to enhance human-machine interaction and create intuitive, adaptable AI systems for industrial environments. The fusion of Generative AI with existing applications enables the transformation of traditional command-based interfaces, enabling engineers and operators to communicate with devices more intuitively. These applications may include advanced chatbot and virtual assistant solutions.
AI powered defect detection systems are increasingly used to capture unusual patterns in sensor data, pinpointing potential issues before they escalate. Furthermore, integration of Generative AI in exhaustively analyzing text heavy quality control reports, user feedback, and inspection notes allows manufacturers to significantly improve their defect detection rates and reduce the time and resources spent on manual inspections.
Design Generative AI-powered solutions to automate tasks, optimize workflows, and reduce energy consumption. Generative AI can be integrated with visualization tools that help in transforming complex information into understandable narratives, streamlining decision-making for managers.
Generative AI has significant potential to create new innovative applications, including Product Design, Customization, Material Design, Prototyping, and Simulation, allowing teams to address diverse challenges within the industry.
Generative AI’s power of analyzing large volumes of data including maintenance logs, error logs and sensor data allows to develop of advanced AI models that forecast equipment failures, streamline maintenance schedules, and prevent costly downtimes.
Optimize supply chain operations through Generative AI-powered demand forecasting, inventory management, and logistics planning.
Develop AI solutions that reduce waste, improve energy efficiency, and promote circular economy practices in industrial settings.
Participants must be 18 years or older and can choose to participate individually or in groups of up to 5 members.
The IEEE IES Generative AI Hackathon has set its sights on solving real-world problems using Generative AI solutions. Each team participating in the hackathon will be paired with an experienced professional in the Generative AI field, who will mentor them towards meaningful research outcomes and encourage innovative thinking. The hackathon structure is carefully planned to ensure that each stage contributes to the development of a research paper that is insightful and relevant to the field. All papers that are successful will have the chance to be submitted to the IECON 2024 - the 50th Annual Conference of the IEEE Industrial Electronics Society, which is set to take place in Chicago, IL, USA. This opportunity will allow participants to present their work in an esteemed academic setting.
| Registration Period |
Start Date: February 1, 2024 End Date: February 15, 2024 |
| Inform the shortlisted Teams | February 18, 2024 |
| Hackathon Period with mentoring |
Start Date: February 20, 2024 End Date: March 26, 2024 |
| Milestone 1: Submitting the project outline and methodology | March 5, 2024 (11.59PM AEDT UTC +11) |
| Milestone 2: First Draft Submission | March 25, 2024 (11:59 PM AEDT UTC +11) |
| Mentor uplift and review |
Start Date: March 25, 2024 End Date: April 8, 2024 |
| Milestone 3: Final Submission | April 8, 2024 (11:59 PM AEDT UTC +11) |
| Judging Period |
Start Date: April 8, 2024 End Date: April 20, 2024 |
| Winners Announced | April 30, 2024 |
| Conference | Nov. 03 - 06, 2024, at IECON 2024 – 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, IL, USA |
For your project to be considered in the Hackathon, please ensure your submission adheres to the following criteria:
Our Hackathon judging will focus on key areas: Originality/Uniqueness, Technical Complexity, Practicality, and Creativity. We're looking for innovative, technically intricate solutions that are practically applicable and creatively executed. Projects that excel in these areas will stand out in our evaluation process.
Presentation opportunity and project Highlight at the conference.
Certificate of appreciation.
Send an email to Lakshithag@ieee.org