Open Cavity Plastic Packaging


Rapid change in electronics is also causing rapid obsolescence. But in some markets, the systems are supposed to last for decades. Sam Sadri, senior process engineer at QP Technologies (formerly Quik-Pak), talks with Semiconductor Engineering about why it’s so important to use existing package footprints, what are the challenges in replacing the circuitry inside a package, and which markets a... » read more

Optimizing AI Systems


Inserting AI and machine learning into chips adds a whole new dimension of complexity, and creates a variety of potential problems, including deadlocks, loss of performance, and difficulty in achieving closure on many fronts. Gajinder Panesar, fellow at Siemens EDA, talks with Semiconductor Engineering about what’s changed and how to optimize these new devices and systems by monitoring them f... » read more

Low-Power Always-On Circuits


Some circuits are always on. A smart phone wakes up when it senses a user, and a smart speaker responds to keywords. The challenge is to make sure these devices don’t consume a lot of power while the rest of a device is powered down, that it remains secure, and that it can quickly wake up whatever other functions are needed. All of this requires a significant amount of engineering work. Amol ... » read more

Using ML In EDA


Machine learning is becoming essential for designing chips due to the growing volume of data stemming from increasing density and complexity. Nick Ni, director of product marketing for AI at Xilinx, examines why machine learning is gaining traction at advanced nodes, where it’s being used today and how it will be used in the future, how quality of results compare with and without ML, and what... » read more

What’s Changing In DRAM


Most of the attention in chip scaling has been focused on logic and on-chip memory, but off-chip memory is starting to encounter problems, as well. David Fried, vice president of computational products at Lam Research, looks at the impact of shrinking features and increasing density, including variation, thermal effects and aging, as well as effects such as micro-loading and DRAM stacking. » read more

Working With RISC-V


RISC-V is coming on strong, but working with this open-source processor core isn't as simple as plugging in a commercial piece of IP. Zdenek Prikryl, CTO at Codasip, talks about utilizing hypervisors and open source tools and extensions to the RISC-V instruction set architecture, where design teams can run into problems, what will change as the architecture becomes more mature, the difference b... » read more

Changes In Auto Architectures


Automotive architectures are changing from a driver-centric model to one where technology supplements and in some cases replaces the driver. Hans Adlkofer, senior vice president and head of the Automotive Systems Group at Infineon, looks at the different levels of automation in a vehicle, what’s involved in the shift from domain to zonal architectures, why a mix of processors will be required... » read more

Sensor Fusion Everywhere


How do you distinguish between background noise and the sound of an intruder breaking glass? David Jones, head of marketing and business development for intuitive sensing solutions at Infineon, looks at what types of sensors are being developed, what happens when different sensors are combined, what those sensors are being used for today, and what they will be used for in the future. » read more

Safe And Robust Machine Learning


Deploying machine learning in the real world is a lot different than developing and testing it in a lab. Quenton Hall, AI systems architect at Xilinx, examines security implications on both the inferencing and training side, the potential for disruptions to accuracy, and how accessible these models and algorithms will be when they are used at the edge and in the cloud. This involves everything ... » read more

Design For Test Data


As design pushes deeper into data-driven architectures, so does test. Geir Eide, director for product management of DFT and Tessent Silicon Lifecycle Solutions at Siemens Digital Industries Software, talks with Semiconductor Engineering about a subtle but significant shift for designing testability into chips so that test data can be used at multiple stages during a device’s lifetime. » read more

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