Speed up product development with streamlined safety, security, and quality
Join UL’s Erich Meier to gain insight into pragmatic approaches that can be immediately applied to speed up product development processes.
Artificial Intelligence
How to autonomously find bugs in automotive software with AI-powered fuzz testing
Khaled Yakdan of Code Intelligence explains how to leverage Large Language Models to automate fuzz testing and help uncover bugs with minimal human involvement.
Contextual cybersecurity: digital twins power AI-driven threat detection across the connected vehicle ecosystem
Upstream’s Orit Gross and Jason Masker explore how digital twins deliver the critical context needed for proactive cybersecurity.
Why automotive leaders should prioritize enterprise automation and advanced technologies in the cloud
Experts from Infor and AWS explain why leaders must embrace enterprise automation, advanced technologies, and multi-tenant cloud strategies to stay ahead.
Transforming automotive quality, warranty, and recall strategies: AI meets connected vehicle data
Experts from AWS and Upstream explore how automakers can harness vehicle data to transform their quality, warranty, and recall strategies.
AI-powered automotive engineering in seconds
Discover how SimScale and RLE transformed the automotive design process, slashing product development cycles and accelerating time-to-market.
Improving AD simulation quality with a simulation credibility assessment
IAV’s Max Winkelmann discusses the topic of simulation credibility assessment in the context of automated driving testing.
The future of vehicle safety – can AI enable Vision Zero?
Continental’s Dr. rer.nat. Corina Apachite and Dr. Pia Dreiseitel explore the essential role of artificial intelligence in achieving Vision Zero – zero fatalities, zero injuries, and zero crashes.
Blackberry IVY, AI, and the software-defined vehicle
IAV’s Dr. Clemens Satzger and Rüdiger Kewitz present their experience of the Blackberry IVY platform using an example of an AI-based age and gender estimator that extracts information from a simple camera image.
How to turn production testbed data into valuable insights with AI
AVL’s Kurt Reininger and Bernhard Groechenig explain how to improve production testing processes and turn testbed data into valuable insights that enhance product and process quality.
The state of global EV charging and the role of AI
Robert Fisher from SBD and HERE’s Andrei Iordache discuss key findings from the the 2024 EV Index and the role of artificial intelligence and machine learning (AI/ML) in vehicle electrification.
Cloud-based service diagnostics, the technology and application in and beyond the workshop
KPIT’s Julian Soanes and Matthias Steigenberger explore the technology behind Cloud-based diagnostics and discuss applications beyond the workshop.
The Flyme Auto mobile ecosystem – a new approach to powering next-generation digital cockpits
Raj Reddy and Ming Liu of ECARX discuss the essential features of Flyme, including the ecosystem’s unique in-car connectivity, seamless integration, and user-friendly interface.
Automotive GenAI Applications in the Cloud
Microsoft, AMD, and Cognata explore how GenAI applications operate on Azure Cloud using AMD’s latest V710 series servers.
Transforming aftersales service management with KPIT’s Gen-AI powered Trace2Fix copilot
Experts from KPIT and Microsoft explore how generative AI-powered mobility copilots are driving innovation, improving efficiency, and shaping the future of automotive aftersales.
How to accelerate electric motor development and testing with AI
AVL’s Matthieu Clauet explains how to use AI to address the challenges posed by the demanding requirements of modern electric motor design and testing.
AI-based acoustic anomaly detection and classification with IAV SonicSeek®
IAV’s Alexander Roy and Jan Baumann discuss a new approach for detecting and classifying anomalous noises, especially in automotive applications.
Revolutionizing BEV performance and safety with a battery digital twin
Dr. Umesh N. Hivarkar explains how FEV’s AI-powered digital battery improves battery range, efficiency, safety, and lifetime, enabling multiple new applications for EVs.
Human-centric development of software-defined-vehicles
VI-grade’s Michael Hoffmann explores the pivotal role of Digital Twins in enhancing software functionality, ensuring safety, and exceeding customer expectations.
Accelerating the requirement engineering process with GenAI
IAV’s Johannes Dornheim and Mirko Knaak discuss how a generative AI-based assistant can help write, evaluate, and correct requirements by reducing repetitive tasks.