Shifting Toward Software-Defined Vehicles


Apple reportedly is developing a software-defined vehicle. But so are Renault, Hyundai, General Motors, and just about everyone else. Some of the benefits of SDVs include increased comfort, convenience, safety, reliability, and remote software and firmware updates. Preventive and predictive maintenance, and remote diagnostics, can be done more conveniently over the air, while vehicle behavio... » read more

Chip Industry’s Technical Paper Roundup: Dec. 20


New technical papers added to Semiconductor Engineering’s library this week. [table id=71 /] If you have research papers you are trying to promote, we will review them to see if they are a good fit for our global audience. At a minimum, papers need to be well researched and documented, relevant to the semiconductor ecosystem, and free of marketing bias. There is no cost involved for us po... » read more

Hardware Fuzzing (U. of Michigan, Google, Virginia Tech)


A technical paper titled "Fuzzing Hardware Like Software" was published by researchers at University of Michigan, Google and Virginia Tech. The paper was presented at the 2022 Usenix Security Symposium. Abstract: "Hardware flaws are permanent and potent: hardware cannot be patched once fabricated, and any flaws may undermine even formally verified software executing on top. Consequently, ve... » read more

Leveraging Multi-Agent RL for Microprocessor Design Space (Harvard, Google)


A new technical paper titled "Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration" was published by researchers at Harvard University and Google research groups. Abstract "Microprocessor architects are increasingly resorting to domain-specific customization in the quest for high-performance and energy-efficiency. As the systems grow in complexity, fine-tuning arch... » read more

Startup Funding: November 2022


November was a month for mega-rounds, with ten companies receiving investments of at least $100 million. One of those is a startup providing connectivity solutions for data centers and enabling use of the memory pooling functionality in the latest update to the CXL standard. Two quantum computer startups were part of the $100M+ club this month — one using very cold atoms to take on not only q... » read more

Why Matter 1.0 Really Matters


Incompatibilities of consumer devices inside the home are frustrating for consumers and a security risk. Skip Ashton, distinguished engineer at Infineon, talks about how the Matter 1.0 standard will fuse together different ecosystems from companies such as Apple, Google, and Amazon, how it will be applied to existing devices, what’s included and missing from the standard today, and how it can... » read more

Weird Incidents Reveal L5 Challenges


A series of surprising, counterintuitive, and sometimes bizarre incidents reveal the challenges of achieving full Level 5 autonomy in self-driving vehicles, which are an increasingly common site in major cities. While it’s easy to dismiss such anecdotes as humorous glitches compared with the sobering accounts of autonomous tech-related injuries and fatalities, industry executives say these oc... » read more

Which Foundry Is In The Lead? It Depends.


The multi-billion-dollar race for foundry leadership is becoming more convoluted and complex, making it difficult to determine which company is in the lead at any time because there are so many factors that need to be weighed. This largely is a reflection of changes in the customer base at the leading edge and the push toward domain-specific designs. In the past, companies like Apple, Google... » read more

Bespoke Silicon Rattles Chip Design Ecosystem


Bespoke silicon developers are shaking up relationships, priorities, and methodologies across the semiconductor industry, creating demand for skills that cross traditional boundaries, and driving new business models that leverage these enormous investments. Bespoke silicon designers today are a rare breed, capable of understanding the unique requirements of a specific domain, as well as a gr... » read more

Why Silent Data Errors Are So Hard To Find


Cloud service providers have traced the source of silent data errors to defects in CPUs — as many as 1,000 parts per million — which produce faulty results only occasionally and under certain micro-architectural conditions. That makes them extremely hard to find. Silent data errors (SDEs) are random defects produced in manufacturing, not a design bug or software error. Those defects gene... » read more

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