Pushing the boundaries of lightweight AI and edge computing
Advancing the field of efficient, accessible artificial intelligence
We focus on developing AI technologies that are efficient, accessible, and privacy-preserving for the modern world.
Developing compact neural architectures that deliver high performance with minimal computational resources, enabling AI on edge devices and resource-constrained environments.
Researching distributed AI systems that process data locally on devices, reducing latency and enhancing privacy while maintaining powerful capabilities.
Exploring AI systems that can understand and process multiple types of data simultaneously, creating more comprehensive and context-aware intelligence.
Developing AI systems that prioritize user privacy through local processing, differential privacy, and secure multi-party computation techniques.
Innovating training methodologies that reduce computational costs while maintaining model quality, making AI development more accessible and sustainable.
Contributing to the open-source AI community through transparent research, reproducible methods, and accessible tools that democratize AI development.
Our work is making AI more accessible, efficient, and responsible
Building an active community of developers and researchers interested in efficient AI
Developing AI models that are up to 10x more efficient than traditional approaches
Collaborating with researchers and developers from around the world
Contribute to cutting-edge AI research and help shape the future of efficient, accessible artificial intelligence.