In today’s rapidly evolving technological landscape, artificial intelligence (AI) has emerged as a powerful tool with the potential to revolutionize industries such as business, health, and education. From streamlining operations and improving decision-making processes to enhancing patient care and transforming the way students learn, AI is driving innovation across these sectors. In this article, we […]
April 12, 2023 We’re honored to receive the AI Innovation Award for our unique human-centric approach to AI technology. This recognition underlines our commitment to transcending functionality and delivering impactful, personalized AI systems. We hope you stay connected with us as we continue to advance AI technology for a better future. For more updates, please […]
Event Date: July 10, 2023 Mark your calendars for our upcoming webinar where we discuss the power of AI Cloud Solutions. Learn about the scalability and efficiency of cloud computing for AI and how it can transform your business operations.
Event Date: June 15, 2023 Join us at the upcoming AI in Education Symposium where we will showcase our latest AI Education Solutions. Our tools are revolutionizing the learning experience, creating personalized paths and fostering a more enriched educational environment.
March 22, 2023 Our AI-driven business solutions are now available to help enterprises streamline processes, enhance productivity, and make data-driven decisions. With the integration of these advanced tools, businesses can now operate more efficiently and achieve their goals faster.
Date: May 1, 2023 We’re excited to announce the successful implementation of our AI Health Technology and Informatics solutions in several major hospitals. Our AI technology is revolutionizing healthcare by enhancing diagnostics accuracy, providing predictive analytics, and promoting patient-centered care.
In partnership with Concord hospital and ResMed company, this project used sleep data analytics to diagnose and monitor patients with respiratory sleep disorder problems. The project resulted in two computational intelligence systems: one for sleep apnea diagnosis, and the other for patient monitoring using non-contact sensors.
This project is focused on type 2 diabetic patients, utilizing machine learning techniques to predict the onset of depression. Our goal is to provide early intervention and support to patients.
We’ve undertaken four separate projects in image processing, ranging from a new clubfoot classification system to cancer detection. This research has been carried out in collaboration with hospitals and research centres globally.
This project developed augmented reality exercises to aid physical rehabilitation. With child and senior-friendly versions, these exercises focus on muscle strength. They operate effectively with or without CI-based biofeedback, providing an interactive, user-friendly platform for effective recovery.
