Neurological disorders are diseases of the nervous system. These disorders can affect the brain, and the nerves found in the human body. Few examples of neurological disorders are learning disabilities, autism and brain tumors. Early detection of the disorder can help heal the disease and prevent long-term impairments for individuals.
Prem Kumar Singh and his team members in their blog proposed a web application powered by Intel optimized AI frameworks and tools - NeuroAssist. They designed this web application to diagnose and treat neural disorders in children.
Learn more about these features and project on Medium and GitHub.
NeuroAssist application uses the following tools and frameworks:
- Modin* - Modin is a drop-in replacement for the extensively used Python library, Pandas. Intel up streams all optimizations to open source Modin from 2024.2 AI Tools release.
- Intel® Extension for Scikit-Learn* - Dynamically patches scikit-learn estimators while improving performance for machine learning algorithms.
- Gradient Boosting Optimizations from Intel - XGBoost is a popular open source library for gradient boosting. XGBoost with Intel optimizations will automatically accelerate performance on Intel hardware without any code changes.
- Intel® oneAPI Math Kernel Library (oneMKL) - Fast and most-used math library optimized for Intel hardware. This library helps the users to reach high performance with math solutions like NumPy, SciPy, MATLAB*.
- Intel® Tiber™ Developer Cloud - Accelerates AI workloads using Intel optimized software on the latest Intel hardware.
What's Next?
We encourage you to check out and incorporate Intel’s other AI/ML Framework optimizations and tools into your AI workflow and learn about the unified, open, standards-based oneAPI programming model that forms the foundation of Intel’s AI Software Portfolio to help you prepare, build, deploy, and scale your AI solutions.
About the Authors
Prem Kumar Singh is pursuing his bachelors in information technology at Vellore Institute of Technology, Vellore. He is passionate about artificial intelligence and machine learning.
Aman Srivastava is pursuing his bachelors in computer science at Vellore Institute of Technology, Vellore. He is passionate about machine learning, deep learning and data science.
Shubh Gupta is pursuing his bachelors in computer science with specialization in information security at Vellore Institute of Technology, Vellore. He is passionate about machine learning, deep learning, mobile development and testing.
Krishnan V S is pursuing his bachelors in information technology at Vellore Institute of Technology, Vellore. He is passionate about machine learning and new advancements in the field of AI.
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Product Marketing Engineer bringing cutting edge AI/ML solutions and tools from Intel to developers.