Our Research
Explore the cutting-edge AI research that powers NbAIl's multimodal capabilities.
Research Areas
Our team is focused on solving complex challenges in AI to create a more intuitive and helpful assistant.
Multimodal Learning
Our research focuses on integrating multiple data types (text, images, audio) to create a more comprehensive understanding of user context and needs.
Learn moreContextual Understanding
We're developing advanced algorithms that maintain context across different interactions and modalities for more natural conversations.
Learn moreEfficient Inference
Our partnership with Groq enables lightning-fast inference, allowing NbAIl to process complex requests in milliseconds rather than seconds.
Learn moreKnowledge Integration
We're building systems that can access, verify, and integrate information from diverse sources to provide accurate and up-to-date responses.
Learn moreComputer Vision
Our advanced vision models can understand screen content, documents, and real-world objects to provide contextually relevant assistance.
Learn moreAR Integration
We're pioneering new ways to blend AI assistance with augmented reality for immersive and intuitive user experiences.
Learn moreRecent Publications
Our research team regularly publishes their findings in top academic conferences and journals.
Advancing Multimodal AI Assistants: Challenges and Opportunities
Dr. Sarah Chen, Dr. Michael Rodriguez
International Conference on AI, 2024
This paper explores the current state of multimodal AI assistants and outlines key research directions for improving their capabilities and user experience.
Read paperScreenAware: A Novel Approach to Screen Understanding for AI Assistants
Dr. Alex Johnson, Dr. Lisa Wong
ACM Conference on Human Factors in Computing Systems, 2024
We present ScreenAware, a new framework for AI assistants to understand and interact with on-screen content in real-time, enabling more contextual assistance.
Read paperIntegrating AR and AI: Design Principles for Next-Generation Assistants
Dr. James Smith, Dr. Emily Davis
IEEE Virtual Reality Conference, 2023
This paper presents design principles and technical approaches for integrating augmented reality with AI assistants to create more immersive and helpful experiences.
Read paperExperience Our Research in Action
Try NbAIl today and see how our cutting-edge research translates into a powerful AI assistant.