How Much AI Is Really Needed?


Tensor Core GPUs have created a generative AI model gold rush. Whether it’s helping students with math homework, planning a vacation, or learning to prepare a six-course meal, generative AI is ready with answers. But that's only one aspect of AI, and not every application requires it. AI — now an all-inclusive term, referring to the process of using algorithms to learn, predict, and make... » read more

The Ultimate Guide To PCB Layout For GaN Transistors


In the ever-evolving landscape of power electronics, the emergence of gallium nitride (GaN) transistors has ignited a revolution by offering unparalleled benefits, including remarkable efficiency and power density enhancements. The art of PCB layout has been a crucial component in power electronic design for over four decades now, ever since the advent of switching power supplier. From the ea... » read more

Making Sensors More Reliable


Experts at the Table: Semiconductor Engineering sat down to talk about the latest issues in sensors with Prakash Madhvapathy, director of product marketing, Tensilica audio/voice DSPs group at Cadence; Kevin Hughes, senior product manager for MEMS sensors at Infineon; and Matthew Hogan, product management director at Siemens EDA. What follows are excerpts of that conversation. [L-R] Kevin ... » read more

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

Protecting Highly Confidential Data In IoT Devices


How should we approach the protection of highly confidential security parameters and personal data? It's just like our daily routines: when we leave home, we lock the door and take care not to lose the key. Similarly, in the realm of cybersecurity, safeguarding cryptographic keys is paramount. No matter how robust your data protection system is, it's rendered ineffective if keys or passwords... » read more

Texas: Cybersecurity Workforce Resilience And eCTF Success


Workforce resilience, the ability to adapt and recover from challenges, is a MITRE Engenuity priority. To ensure a resilient cybersecurity workforce that can defend organizations and the entire nation, we know that future professionals need to be interested in the field. As such, each year we proudly present Embedded Capture the Flag (eCTF), a two-phase competition for students to both test an... » read more

The Challenge And Value Proposition of eFPGA Emulation


More than 40 chips have been licensed to use EFLX eFPGA and more than 20 chips are already working in silicon. Big customers like Renesas are planning high volumes and families of chips using eFPGA. eFPGA is being used in process nodes from 180nm to 5nm, with 3nm and 18A in evaluation. Especially for the high-volume customers working in advanced finFET nodes, the strong need is for first ... » read more

Higher Automotive MCU Performance With Interface IP


By Ron DiGuiseppe and Hezi Saar AI is making waves across many industries, and automotive is no exception. Today’s vehicles are smarter and more connected than ever, and AI is at the heart of it all. Many new advanced driver assistance system (ADAS) applications, such as automatic emergency braking, adaptive cruise control, and lane-keeping assistance, are built using the latest AI algorit... » read more

Why Are S-Parameters Superior For Power Module Optimization?


A power module is a high-power switching circuit – used in electric vehicles, renewable energy, photovoltaics, wind, and many more applications – that uses insulated gate bipolar transistors (IGBT) or metal-oxide-semiconductor field-effect transistors as switching elements. This paper discusses the difference in power module simulation using lumped elements and S-Parameters. Using a simple ... » read more

Software Stack For Edge AI Performance


Developing an agile software stack is important for successful AI deployment on the edge. We regularly encounter new machine learning models created from multiple AI frameworks that leverage the latest primitives and state-of-the-art ML model topologies. This Cambrian explosion has resulted from a fertile open-source community that has embraced AI and is now fueling a wide proliferation of ML m... » read more

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