Incorporated in 1996, TechSource Systems and Ascendas Systems Group is committed to provide quality technology solutions that empower the engineering and R&D community, providing the ultimate computing environment for technical computation and embedded deployment including design, simulation, visualisation and implementation.
As the Authorized Reseller in Southeast Asia for MathWorks Inc, developer of the MATLABĀ® and SimulinkĀ® family of products, we provide organisations and businesses with a variety of the best tools, products and services to facilitate innovations. Our clients include many research and development institutes as well as multinational companies operating in this region.
This competition track is open to all projects that use data analytics and/or artificial intelligence (AI) techniques to resolve problems.
Data analytics is the discipline of examining unprocessed data to draw inferences about that data. Numerous methods and procedures used in data analytics have been automated into mechanical procedures and algorithms that operate on raw data for human consumption.
AI is a field of study that aims to develop intelligent machine thinking and behavior. The development of computing technologies has made it possible for computationally demanding AI algorithms to run at speeds that are close to real-time, allowing AI technologies to become more widely used and impacting our daily lives.
AI is everywhere. It's not just powering applications like smart assistants, machine translation, and automated driving, it's also giving engineers and scientists a set of techniques for tackling common tasks in new ways. With MATLAB, you are ready for AI even if you have no experience with machine learning. You can use apps to quickly try out different approaches and apply your domain expertise to prepare the data.
Sample projects:
Benefit of joining:
MATLAB makes the hard parts of machine learning easy with: Point-and-click apps for training and comparing models. Advanced signal processing and feature extraction techniques. Automatic machine learning (AutoML) includes feature selection, model selection and hyperparameter tuning. Interoperability enables you to fully utilize the MATLAB ecosystem and incorporate it with tools created by the open-source community. Models created outside of MATLAB can be combined with workflows that include automatic code generation, model tuning, model compression, model integration, and data-centric preprocessing.
Three Main Compenent that MATLAB Covers:
Learn more Discover patterns and build predictive models with engineering, manufacturing, and financial data.
Learn more Data preparation, design, simulation, and deployment for deep neural networks.
Learn more Explore data; build machine learning models; do predictive analytics.
Skillset gained: