Led by: Luca De Ambroggi, Senior Principal Analyst, Automotive Electronics & Semiconductors
Presented by: IHS Markit and Synopsys
The average value of electronic systems per car is expected to grow to over $1600 by 2022—that’s a nearly 35% increase in under 10 years. Advanced driver-assistance systems (ADAS) will represent a significant part of this growth. One of the key enablers of ADAS and fully autonomous cars is artificial intelligence (AI), and for good reason. AI offers multiple advantages over traditional vision and detection algorithms for safety-critical ADAS, including higher accuracy and better predictions. In this webinar, we will discuss why and how automotive OEMs and chip designers should leverage AI, deep learning, and convolutional neural networks (CNNs) to accelerate development times, increase power efficiency, detect multiple objects, enable faster response rates, and more, in their automotive systems. We’ll also review hardware and software requirements and safety concerns in automotive systems.
Who Should Attend
Automotive OEMs and equipment suppliers, telecom service providers, financial analysts, and the media are encouraged to attend.