Gearing Up For Level 4 Vehicles


More autonomous features are being added into high-end vehicles, but getting to full autonomy will likely take years more effort, a slew of new technologies — some of which are not in use today, and some of which involve infrastructure outside the vehicle — along with sufficient volume to bring the cost of these combined capabilities down to an affordable price point. In the meantime, ma... » read more

Everyone’s A System Designer With Heterogeneous Integration


The move away from monolithic SoCs to heterogeneous chips and chiplets in a package is accelerating, setting in motion a broad shift in methodologies, collaborations, and design goals that are felt by engineers at every step of the flow, from design through manufacturing. Nearly every engineer is now working or touching some technology, process, or methodology that is new. And they are inter... » read more

Industry Pressure Grows For Simulating Systems Of Systems


Most complex systems are designed in a top-down manner, but as the amount of electronic content in those systems increases, so does the pressure on the chip industry to provide high-level models and simulation capabilities. Those models either do not exist today, or they exist in isolation. No matter how capable a model or simulator, there never will be one that can do it all. In some cases,... » read more

When And Where To Implement AI/ML In Fabs


Deciphering complex interactions between variables is where machine learning and deep learning shine, but figuring out exactly how ML-based systems will be most useful is the job of engineers. The challenge is in pairing their domain expertise with available ML tools to maximize the value of both. This depends on sufficient quantities of good data, highly optimized algorithms, and proper tra... » read more

Designing Vehicles Virtually


The shift toward software-defined vehicles (SDVs), electric vehicles (EVs), and ultimately autonomous vehicles (AVs) is proving the value and exposing the weaknesses in simulating individual components and complete vehicles. The ability to model this intensely complex maze of real-world interactions and possible scenarios is improving, and it's happening faster than comparable road-testing o... » read more

Optimizing IC Designs For Real-World Use Cases


Semiconductor systems are becoming more focused on power, performance, and area for the primary scenarios they are likely to see in real-world applications, but increasingly at the expense of secondary tasks. This is happening at all levels of abstraction and all stages of the design flow. At the highest level, processors are being optimized to run a given set of software. RISC-V is one of t... » read more

Using Data More Effectively In Chip Manufacturing


Experts at the Table: Semiconductor Engineering sat down to discuss smart manufacturing and how tools and AI can enable it for semiconductors, with Mujtaba Hamid, general manager for product management for secure cloud environments at Microsoft; Vijaykishan Narayanan, vice president and general manager of India engineering and operations at proteanTecs; KT Moore, vice president of corporate ma... » read more

AI Process Control Platform Enabling Next Generation Technology


PAICe Monitor delivers AI and machine learning-enabled analytics for all stages of the semiconductor fabrication process lifecycle — from process development and ramp readiness, to high volume production. Leveraging Tignis’ Digital Twin Query Language, PAICe Monitor enables process engineers to transform in-product fault diagnoses into continuous real-time monitoring—greatly improving ... » read more

Smart Manufacturing Makes Gains In Chip Industry


Lights out manufacturing is gaining steam across the semiconductor industry, accelerating productivity, improving quality, and reducing costs and environment impact. These benefits are the result of years of strategic investments in technologies like machine-to-machine communication, data analytics, and robotics to achieve higher levels of autonomy. Semiconductor factories have long depen... » read more

Accelerating Development of Software Defined Vehicles with Virtual ECUs


The automotive industry is going through a revolution. To adapt to new customer demands such as convenience, safety, autonomy, and electrification, the automotive industry is moving to software-driven vehicles. These require new, more powerful electrical/electronic (E/E) architectures and significantly increase the vehicle software content. They also force the industry to move from lengthy deve... » read more

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