MISSION STATEMENT
The Edge AI and Generative AI Working Group empowers and connects academia, industry, and individuals to advance knowledge, collaboration, and innovation in Edge AI through education, community engagement, and recognition of groundbreaking achievements.
OBJECTIVES
- Foster Knowledge Sharing: Facilitate the exchange of ideas and insights through seminars, tutorials, roundtable discussions, and whitepapers.
- Promote Collaboration: Build meaningful connections between academia, industry, and individual innovators to drive collective progress in Edge AI and Generative AI.
- Highlight Achievements: Recognize and amplify the contributions of members actively shaping the field to inspire and attract new participants.
- Educate the Community: Provide accessible resources and updates on the latest breakthroughs, trends, and advancements in Edge AI and Generative AI.
- Encourage Innovation: Nurture a culture of exploration and creativity by sharing demos, showcasing individual contributions, and supporting cutting-edge initiatives.
DELIVERABLES
Educational Content:
- Tutorials, webinars, and seminars covering foundational and advanced topics in Edge AI and Generative AI.
- Whitepapers and reports detailing industry trends, research advancements, and best practices.
Community Engagement Activities:
- Roundtable discussions to foster dialogue between academia, industry, and individual contributors.
- Networking events to build relationships and encourage collaboration.
Knowledge Dissemination:
- Regular updates on breakthroughs, tools, and technologies in Edge AI and Generative AI.
- Curated newsletters summarizing key developments and insights.
Recognition and Amplification:
- Case studies and success stories showcasing member contributions and achievements.
- Spotlight series on individuals and organizations advancing the field.
Practical Resources:
- Demonstrations and walkthroughs of innovative Edge AI and Generative AI solutions.
- Open-access repositories for tools, datasets, and frameworks.
Future-Oriented Initiatives:
- A dynamic and evolving definition of Edge AI that reflects current advancements.
- Strategic plans to attract new participants and foster innovation in the community.
Collaborative Publications:
- Co-authored articles, research papers, or blog posts between academic and industry members.
- Annual reviews summarizing the group’s impact and the field’s progress.