The Ansys SimAI™ cloud-enabled generative artificial intelligence (AI) platform combines the predictive accuracy of Ansys simulation with the speed of generative AI. Because of the software’s versatile underlying neural networks, it can extend to many types of simulation, including structural applications.
This white paper shows how the SimAI cloud-based software applies to highly nonlinear, transient structural simulations, such as automobile crashes, and includes:

• Vehicle kinematics and deformation
• Forces acting upon the vehicle
• How it interacts with its environment
• How understanding the changing and rapid sequence of events helps predict outcomes

These simulations can reduce the potential for occupant injuries and the severity of vehicle damage and help understand the crash’s overall dynamics. Ultimately, this leads to safer automotive design.

Download this free whitepaper now!

Connected vehicles offer a range of benefits, such as real-time data sharing, app-to-car connectivity, advanced driver assistance systems (ADAS), and critical safety features like location tracking, remote parking, and in-vehicle infotainment systems (IVIs). These advancements aim to enhance the overall driving and riding experience. However, it is crucial to acknowledge that equipping vehicles with smart features also exposes them to potential cyberattacks. These attacks can result in customer data leakage or even compromise critical safety functionalities.

It’s expected to discover vulnerabilities after the product is released, which could have been easily prevented. For instance, as reported by Bloomberg, a recent increase in car thefts was attributed to the absence of anti-theft computer chips in vehicle critical systems. Therefore, it is imperative to proactively consider and address potential attack vectors right from the initial stages of development. This cybersecurity vulnerability applies to many other industrial applications, such as industrial IoT, SmartCity, and digital healthcare, where every device or system is connected, and every connection is a vulnerability.

Design for security is becoming mainstream and should be part of today’s standard design methodologies.

What you will learn:

1. Why a model-based and system-oriented solution is needed for automotive cybersecurity

2. How to quickly identify threat scenarios

3. Why a pre-silicon security verification flow is essential for secure ICs

4. Using AI to mitigate side-channel vulnerabilities

Who should attend this presentation:

This webinar is valuable to anyone who works with product design, connectivity and security.

Register now for this free webinar!

As wireless systems become complex and reach for more spectrum, RF engineers must rely on high-fidelity simulation solutions to model and test their proposed new networks effectively.

We offer tools to address these challenges and enable network architects and mission planners to digitally model and simulate dynamic wireless networks within an accurate systems simulation environment. Leveraging solutions for electromagnetic wave propagation, electronically steered antenna design tools, and a digital mission simulation, engineers can rapidly deploy models and execute them within a high-fidelity, physics-accurate digital testing environment. Engineers will understand the impacts of terrain, urban landscapes, and the dynamic kinematic motions across any number of simulated scenarios needed to test anticipated wireless network performance against design requirements thoroughly.

Register now to attend this free webinar!

Ansys is combining these industry-leading modeling and simulation tools to provide a workflow-driven solution to these unique needs and challenges. Join us to learn more about the new Ansys RF Channel Modeler and how it can help you and your organization leverage digital modeling and simulation tools like never before.

What you will learn:

• How high-fidelity simulation solutions effectively model and test proposed new networks
• How to enable network architects and mission planners to digitally model and simulate dynamic wireless networks within an accurate systems simulation environment
• How the impacts of terrain, urban landscapes, and the dynamic kinematic motions across any number of simulated scenarios are needed to test anticipated wireless network performance against design requirements