Big Changes Ahead For Inside Auto Cabins


The space we occupy inside our vehicles is poised to change from mere enclosure to participant in the driving experience. Whether for safety or for comfort, a wide range of sensors are likely to appear that will monitor the “contents” of the vehicle. The overall approach is referred to as an in-cabin monitoring system (ICMS), but the specific applications vary widely. “In-cabin sensing... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive The U.S. Federal Trade Commission (FTC) sued Nvidia to block the company’s $40 billion acquisition of Arm. The FTC said in a press statement that “the proposed vertical deal would give one of the largest chip companies control over the computing technology and designs that rival firms rely on to develop their own competing chips. … the combined firm would have the means and in... » read more

Architecting Hardware Protection For Data At Rest And In Motion


Planning the security architecture for any device begins with the threat model. The threat model describes the types of attacks that the device or application may face and needs to be protected against. It is based on what attackers can do, what level of control they have over the product (i.e., remote or direct access), and how much effort and money they are willing and able to spend on an att... » read more

On-Chip FPGA: The “Other” Compute Resource


When system companies discuss processing requirements for their next generation products, the typical discussion invariably leads to: what should the processor subsystem look like? Do you upgrade the embedded processors in the current subsystem to the latest and greatest embedded CPU? Do you add more CPUs? Or perhaps add a little diversity by adding a DSP or GPU? One compute resource tha... » read more

Securing Connected And Autonomous Vehicles


Vehicles are on track to become highly sophisticated Internet of Things (IoT) devices. With the added functionality that connects vehicles to other vehicles, the infrastructure, and even pedestrians, the opportunity for hacking expands. Challenges like complexity and the burden of legacy systems further complicate the situation. The future of connected and autonomous vehicles (CAV) demands leve... » read more

Why It’s So Difficult — And Costly — To Secure Chips


Rising concerns about the security of chips used in everything from cars to data centers are driving up the cost and complexity of electronic systems in a variety of ways, some obvious and others less so. Until very recently, semiconductor security was viewed more as a theoretical threat than a real one. Governments certainly worried about adversaries taking control of secure systems through... » read more

Innovative Technology Drives Rapid Deployment Of New 5G Products, Services, And Business Models


The wireless future is about developing the most compelling products using a combination of advanced technologies to maximize system performance, while optimizing both cost and power. Doing so will unlock deployment of new 5G products and services for mobile operators and the whole 5G ecosystem, from businesses to consumers to the economy. With 5G offering so much potential, how can the industr... » read more

Advanced Packaging For Automotive Chips


Multiple types of chips may be better than one for dealing with large amounts and different types of data, but in automotive applications it's not entirely clear how or even whether they should be packaged together. The biggest problem with electronics in vehicles is the extreme range of temperatures, both within and outside of vehicles. Without adequate cooling, chips can age prematurely, s... » read more

Meeting Processor Performance And Safety Requirements For New ADAS & Autonomous Vehicle Systems


By Fergus Casey and Srini Krishnaswami Innovation in today’s automotive industry is accelerating as companies race to be the market leader in safety and autonomous vehicles. With vehicle control moving from humans to the vehicles’ active safety systems, more sensors – cameras, radar, lidar, etc. – are being added to automotive systems. More sensors require more computational performa... » read more

Will Markets For ML Models Materialize?


Developers are spending increasing amounts of time and effort in creating machine-learning (ML) models for use in a wide variety of applications. While this will continue as the market matures, at some point some of these efforts might be seen as reinventing models over and over. Will developers of successful models ever have a marketplace in which they can sell those models as IP to other d... » read more

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