Our Events

This 2-W EV webinar series will highlight the MBD approach and showcase how System Modelling & Simulation can be used to achieve safety, thermal, and range targets to deliver vehicle electrification on a scale while keeping on the constraints of cost, quality, and time. Starting with the selection & sizing of battery, motor, and power electronics components to designing associated software control algorithms in a rigorous manner for a range of operational scenarios, the series will cover the journey of designing your two-wheeler from prototyping to production.

Discover how to use Model-Based Design with MATLAB® and Simulink® for Automotive/EV/ADAS in this workshop session.

This workshop will give attendees a brief background on MATLAB’s Neural Network capabilities and introduce the ways that MATLAB makes designing, training, and implementing neural networks systems easier.Learn how to do deep learning in 6 lines of code, perform transfer learning using a GUI-based app and accelerate your code using MATLAB.

Artificial Intelligence (AI) is bringing a drastic change in technological fields, where it can be implemented to automate the system for more efficiency and performance. AI is now getting used in multiple fields from simply your mobile phone to diagnosing the diseases providing a high-performance and accurate system work with efficiency. In this webinar, you will see the workflow of artificial intelligence that can be implement in the industry. The workflow spans from data preparation to the deployment of the algorithm in real life application.

Explore how to increase productivity using Apps for design and analysis. Deep Neural Networks are becoming a ubiquitous tool for all industries particularly the computer vision applications of Machine Learning. Learn how Deep Learning is used in industries such as biomedicine, industrial automation.

In this webinar, MathWorks will demonstrate a workflow that provides system-level electrical loading information to inform an electrical system design task. The electrical system in this case will be a parallel-connected fuel-cell stack and battery energy storage system. The aim of the electrical design is to develop the most efficient power supply to meet the needs of a given drive cycle. The electrical design is then evaluated in a full-system level model.

In this webinar, we will demonstrate a real-world medical application of an ECG analysis and show how you can use MATLAB & Simulink to train and verify AI models. You will learn some basic and advanced techniques in order to fully utilize the benefits of machine learning in biomedical signal analysis.

Pose estimation and localization are critical components for both autonomous systems and systems that require perception for situational awareness. Fusing data from multiple sensors and applying fusion filters is a typical workflow required for accurate localization.

This webinar will demonstrate statistical and machine learning techniques in MATLAB on real-world datasets to monitor manufacturing processes and detect equipment anomalies.