Explainable AI (XAI)
We investigate methods to explain AI model behavior, predictions, and decisions, with a focus on human-understandable and stakeholder-centric explanations.
Learn moreAdvancing Trustworthy, Explainable & Efficient AI.
Research-driven innovation. Real-world applications.
At SHER DeepAI, we explore scientific and technological approaches to make AI systems more trustworthy, understandable, and resource-efficient.
Our research connects scientific innovation with practical AI engineering to address real-world challenges.
Our Research Areas
Exploring the technologies behind
a more trustworthy, explainable, and efficient AI.
AI Model Optimization
We explore approaches to model compression, optimization, and computational efficiency, with the aim of reducing resource requirements while maintaining model performance.
Learn moreTrustworthy AI Engineering
We investigate how Trustworthy AI principles, governance frameworks, and regulatory requirements can be translated into technical capabilities.
Learn moreEmerging AI Technologies
We explore emerging approaches such as LLM Explainability, Quantum-Enhanced XAI, and Quantum Machine Learning.
Learn moreFrom Research to Technology
Connecting scientific innovation with real-world AI challenges.
Our research informs the development of experimental prototypes and practical technologies, such as DeepTai, our modular engineering platform for Trustworthy AI.
Research
Scientific exploration and new methods
Prototypes
Experimental technologies
Technology
Engineering capabilities
Research in Practice
From research insights to practical technologies.
XAI
DeepXAI Toolbox 1.0
Modular toolbox for explainable AI with human-understandable explanations.
LLM
DeepXAI-4-LLM
Explaining large language models with stakeholder-centric explanations.
ENGINEERING
DeepXai within DeepTai
Explainability capabilities integrated into our modular engineering platform.
Research & Collaboration
Let’s advance AI innovation together.
We collaborate with universities, research institutions, technology providers, and industry partners to explore new approaches, develop technologies, and address real-world AI challenges.