We invite abstracts for Presentations, Posters, and Workshops in the following categories:
Real-World Success Stories: Edge AI in Action
We seek compelling case studies of successful edge AI deployments across industries. These sessions will showcase:
- Impact-driven solutions in healthcare, industrial automation, automotive, and consumer applications.
- Scaling edge AI from prototypes to production, highlighting key challenges and best practices.
- Lessons learned from deploying AI in constrained environments.
Pushing the Boundaries of Edge AI Innovation
This track highlights breakthroughs in edge AI applications and emerging areas of research:
- New AI applications enabled by ultra-low-power devices and resource-constrained environments.
- Innovations that unlock new markets by reducing energy consumption and optimizing performance.
- On-device learning and distributed learning techniques that enhance Edge AI capabilities.
Edge AI for Sustainability & Energy Efficiency
How can edge AI contribute to a more sustainable and energy-efficient future? This track explores:
- Decarbonizing edge AI – strategies to reduce its environmental impact.
- Quantifying energy savings from AI deployments at the edge.
- Reducing the carbon footprint through smarter model design and optimization.
Edge AI Tooling & Development Frameworks
We invite insights on advancing edge AI development through tools, software, and best practices:
- Bridging Edge AI and Cloud AI – DevOps for seamless connectivity.
- AI model compilers & optimization frameworks for efficiency.
- Memory management, profiling, debugging, and resource mapping in constrained devices.
- MLOps for Edge AI – ensuring optimal use of resources – robust, scalable, and maintainable deployments.
Product Showcase: Hardware & Software Innovations
Presentations in this track will feature cutting-edge hardware and software developed in the past 6 months:
- Commercialization opportunities using Edge AI solutions.
- Innovations in hardware accelerators, software frameworks, and new deployment models.
- Industry collaborations driving the next wave of Edge AI adoption.
Next-Generation Sensors for Edge AI
Exploring how multimodal sensor technology fuels Edge AI growth:
- Contextual sensing: making sense of the world through smarter sensors.
- Sensor and resource management for efficiency and longevity.
Edge Generative AI: Expanding the Possibilities
As Generative AI moves to the edge, we invite discussions on:
- Use cases, applications, and enabling technologies that make edge Gen AI viable.
- Tools, frameworks, and methodologies for efficient model execution.
- Synthetic data generation and personalization through edge Gen AI.
Standardization in Edge AI
How do we bring uniformity to software, hardware, and data formats in edge AI? Key topics include:
- Standardized power management and benchmarking.
- Efforts in OS standardization for edge AI devices.
- Data formats and interoperability across different platforms.
- Bridging the gap: Cloud devOPS to edge
Security, Safety & Privacy in Edge AI
Securing and trusting edge AI models, data, and IP is a growing concern. We seek contributions on:
- Model IP security and watermarking to protect proprietary AI models.
- Data privacy and out-of-norm data detection.
- Spoofing detection and adversarial model attacks in edge deployments.
- Reliability, fail-safe behavior, and safety assurance for edge AI in critical applications (e.g., industrial, medical, automotive).
SUBMIT YOUR ABSTRACT HERE
DEADLINE: March 6
Session Formats
- Workshop (45-60 minutes): Interactive format to develop solutions or provide learning experiences.
- Lecture (20minutes): Traditional presentation format.
- Lightning Talk (5 – 10 minutes): Quick presentation of a concept or story.
- Poster Presentation: Visual display of research findings.