Powering The Automotive Revolution: Advanced Packaging For Next-Generation Vehicle Computing


Automotive processors are rapidly adopting advanced process nodes. NXP announced the development of 5 nm automotive processors in 2020 [1], Mobileye announced EyeQ Ultra using 5 nm technology during CES 2022 [2], and TSMC announced its “Auto Early” 3 nm processes in 2023 [3]. In the past, the automotive industry was slow to adopt the latest semiconductor technologies due to reliability conc... » read more

Enabling New Applications With SiC IGBT And GaN HEMT For Power Module Design


The need to mitigate climate change is driving a need to electrify our infrastructure, vehicles, and appliances, which can then be charged and powered by renewable energy sources. The most visible and impactful electrification is now under way for electric vehicles (EVs). Beyond the transition to electric engines, several new features and technologies are driving the electrification of vehicles... » read more

Future-Proofing Automotive V2X


Experts at the Table: Semiconductor Engineering sat down to discuss Vehicle-To-Everything (V2X) technology and the path to deployment with Shawn Carpenter, program director, 5G and space at Ansys; Lang Lin, principal product manager at Ansys; Daniel Dalpiaz, senior manager product marketing, Americas, green industrial power division at Infineon; David Fritz, vice president of virtual and hybrid... » read more

Challenges With Chiplets And Power Delivery


Chiplets hold the potential to deliver the same PPA benefits as an SoC, but with many more features and options that are possible on a reticle-constrained die. If chiplets live up to the hype, they will deliver what is essentially mass customization, democratizing and speeding the delivery of complex chips across a broad array of markets. Today, the focus has been on die-to-die interfaces, but ... » read more

Integrating ADAS/IVI SoCs Using Automotive IP


The automotive industry continues to evolve the centralized electrical/electronic (EE) architecture, impacting automakers, and Tier 1 and Tier 2 suppliers, as they implement various applications over the next 10 years. The new architecture is structured around a centralized compute module which executes multiple applications such as Advanced Driver Assistance Systems (ADAS)/highly automated dri... » read more

Innovative Cybersecurity Solutions Accelerate TTM For The Software-Defined Vehicle


The automotive industry is undergoing a transformative shift towards the software-defined vehicle (SDV), signaling a new era that prioritizes customer-centric mobility and presents new, data-based revenue opportunities across the automotive value chain and ecosystem. However, this transition also presents many challenges, from managing increasingly complex hardware (HW) and software (SW) design... » read more

DNS, LES, Or RANS Simulation For Your Next Automotive Design


The automotive industry is constantly advancing, with new innovations and developments emerging almost every day. The industry is committed to creating a more sustainable future with the growing trend towards electric-powered vehicles and mass production. In 2022, the global production of motor vehicles increased by 5.7%, producing 85.4 million vehicles. However, the industry faces the challe... » read more

Protecting Automotive Power Distribution


It was on a warm summer’s evening aboard a cruise boat on one of Austria’s most beautiful lakes that I was co-hosting an Infineon event to conclude a professional experience week for a group of around 50 students from technical high schools in the region. It was time for the final round for us to showcase our creations. Smaller groups of around 10 students went from co-host to co-host, a... » read more

Ultimate Guide To Machine Learning For Embedded Systems


Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict from data. This is a big diversion from other fields which poses the limitation of programming instructions instead of learning from them. Machine learning in embedded systems specifically target ... » read more

The Power of Memory in Camera Monitor Systems


According to the World Health Organization, approximately 1.19 million people die each year as a result of road traffic crashes. The challenge automakers have is deciding what types of cameras or sensors to implement to help prevent accidents, and making sure they meet various regulations. Camera monitoring systems or (CMS) represent a significant milestone in the ongoing evolution of automo... » read more

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