Bridging the gap between cutting-edge AI research and practical applications that solve real-world problems in healthcare, finance, education, and social good.
Transforming research into impact
Our applied AI research translates cutting-edge algorithms into practical solutions that address pressing challenges across multiple industries and sectors.
Developing AI solutions for medical diagnosis, drug discovery, and personalized treatment plans.
AI-powered solutions for fraud detection, risk assessment, and algorithmic trading systems.
Leveraging AI to address societal challenges in education, agriculture, and public policy.
Smart manufacturing solutions using AI for predictive maintenance and quality control.
Our applied AI solutions have created measurable impact across various sectors, benefiting millions of users and generating significant value.
Our applied AI projects demonstrate the practical impact of advanced algorithms in solving real-world challenges across diverse industries.
Comprehensive AI system for medical diagnosis across multiple specialties including radiology, pathology, and ophthalmology.
Real-time AI system for detecting fraudulent transactions and suspicious activities in banking and fintech.
AI-driven platform for crop monitoring, yield prediction, and precision farming using satellite imagery and IoT sensors.
AI system for predicting equipment failures and optimizing maintenance schedules in manufacturing industries.
Comprehensive statistics across all our applied AI initiatives
Our applied AI research publications demonstrate real-world impact across healthcare, finance, agriculture, and social good applications.
We present a comprehensive multi-modal deep learning framework for healthcare diagnostics that integrates medical imaging, clinical data, and patient history to achieve 96.5% accuracy in disease detection across multiple conditions.
A novel approach to financial fraud detection that combines graph neural networks with temporal pattern analysis, achieving 94.2% precision and 91.8% recall on real-world banking datasets.
An integrated AI system that combines satellite imagery analysis with IoT sensor data to predict crop yields with 89% accuracy, helping farmers optimize resource allocation and improve productivity.
We propose a federated learning framework for industrial predictive maintenance that preserves data privacy while achieving superior performance in equipment failure prediction across multiple manufacturing sites.
Our applied AI research is published in premier conferences and journals
Meet our applied AI research team.
Team component coming soon...