We collaborated with Mayo Clinic to implement cutting-edge AI solutions for medical research and patient care optimization. Our team developed advanced machine learning models for diagnostic assistance, predictive analytics for patient outcomes, and automated data processing systems that enhanced research capabilities and clinical decision-making processes.
One of the world's leading medical institutions required cutting-edge AI solutions to enhance medical research capabilities, assist with diagnostics, and optimize patient care processes.
Developed advanced machine learning models for diagnostic assistance and medical image analysis.
Created predictive models for patient outcomes to support clinical decision-making.
Implemented automated systems to enhance research capabilities and accelerate medical discoveries.
We pioneered virtual reality AI-powered training solutions before ChatGPT's emergence, creating personalized learning experiences for government rehabilitation programs and adult education initiatives. Working with US contractors, our VR AI platform adapted training content in real-time based on learner progress, disabilities, and learning styles, revolutionizing workforce development and rehabilitation training across federal programs.
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Ascend was co-founded by David Askey, an MIT alum with deep expertise in perception, machine learning (AI), robotics, and designing human-centered products. David has worked with NASA and DARPA on cutting-edge robotics and AI initiatives. Co-founder Derek Abramovitch, a digital transformation evangelist who has spent the last 15 plus years helping companies leverage technology to create greater operational efficiencies and strategic advantages. Ascend has deep expertise in perception-driven robotics and artificial intelligence. Our team includes recognized leaders in the fields of robot learning and AI, perception, human factors, and human-in-the-loop control, as well as, managing successful digital transformation programs. In our approach to developing bespoke digital solutions, robots use vision, tactile sensing, and other sensing modalities to understand their environment. Ascend combines the perception with learning to understand which objects to interact with and which objects to avoid. One vital component of the perception and learning engine is a highly efficient constraint solver. Unlike many AI companies which give a robot a set of rules to follow, Ascend provides a set of task constraints, allows the environment to impose natural constraints, and enables the robot to figure out a task solution that meets all of the constraints. Ascend has developed solutions which confirm that embedded intelligence and sensing, combined with a continuously-learning AI engine and human-in-the-loop systems approach makes it simpler to design, train, manage and implement robotic solutions enabling Descartes to automate their CustomsInfo Solution with a compelling ROI. The Ascend Difference: Ascend defines Digital transformation as combining the power of human and artificial intelligence to create digital solutions which empower people, solve business problems and create competitive advantages. Since we believe that no two companies are exactly alike, we offer bespoke digital solutions.
