Environmental Sensors Catch More Data For A Greener World


Sensors to detect temperature, pressure, and gases, such as CO2, have been around for centuries. However, the latest devices can measure a growing list of substances and process the data in real-time. Likewise, single-use sensors to measure pH levels in water are well established, but the latest water sensors can be deployed all along the pipeline from source to processing to outlet or tap, sav... » read more

Limited by Power


AI is seen as a massive computation problem, but that is not the case, at least with the way that the problem is structured today. It is a data movement problem. This not only limits performance but represents most of the energy consumption. In addition, the industry spends most of its time and effort making small improvements that optimize aspects of the existing architecture, when what is ... » read more

AI Buildout Makes HPC Simulation More Challenging


Simulations of semiconductors and systems are becoming bigger, more complex, and increasingly necessary, mirroring everything that is happening to the hardware itself — particularly in AI data centers. The move beyond monolithic chips to multi-die assemblies now requires solving some thorny multi-physics challenges, such as thermal and power delivery, which are increasingly difficult to mo... » read more

Chiplets Vs. Soft IP: Different In Almost Every Way


Chiplets serve a similar function as the soft IP widely used in chips today, but the similarities end there. While both can speed time to market and enable design teams to focus limited resources where they can best be applied, the implementation, manufacturing, test, and long-term business requirements wrought by a chiplet marketplace would be very different. Soft IP (also known as RTL IP) ... » read more

Adaptive Test Gaining Ground For HPC And AI Chips


Adaptive test is starting to gain traction for high-performance computing and AI chips as test programs that rely on static limits and fixed test sequences reach their practical limits. The growing complexity of multi-die assemblies and power delivery, along with increased stresses, are forcing a shift toward real-time, data-driven optimization at the test cell. “It’s the same old pro... » read more

Metrology Digs Deep To Produce Next-Generation 3D NAND


Each generation of 3D NAND packs about 30% more bits than the previous version, with current devices storing up to 2 terabits of data in a die the size of a fingernail. With new product introductions shrinking from 18 months to every 12 months, chipmakers are constantly innovating to enable this prodigious scaling pace. 3D NAND technology is a core ingredient in mobile phones, solid-state dr... » read more

Zero-Trust Data Sharing Architectures Redefining Chip Manufacturing


Real-time security clearances are becoming increasingly common in the manufacturing of advanced-node semiconductors, where data sharing is both essential and a potential security threat. Data security is a well-known issue in semiconductor manufacturing, but much of it is based on an outdated approach. In its place, zero-trust architectures [1] are now a requirement for new equipment and ins... » read more

Small Language Models Create New Security Risks


The rollout of edge AI is creating new security risks due to a mix of small language models (SLMs), their integration into increasingly complex hardware, and the behavior and interactions of both over time. AI data centers still garner the most attention due to massive investments and an ongoing flood of deals and acquisitions, but the edge is quietly starting to take shape for several reaso... » read more

Physical AI Takes Functional Safety Cues From Automotive


Robots are becoming smarter, more capable, and more pervasive, setting the stage for a whole new round of growth that will touch nearly every part of the semiconductor and software industries for decades to come. Robots are at the core of physical AI, a broad segment of edge AI systems that interact with the world through artificial intelligence and sensors. This includes everything from hum... » read more

Harnessing Silicon Lifecycle Management For Chip Security


Silicon lifecycle management is starting to be used in ways that extend well beyond its original mission of ensuring a chip functions to spec throughout its expected lifetime. While tracking aging effects and component failures are still important, the technology also is being deployed to proactively monitor, authenticate, and respond to potential threats in real-time. In fact, not applying ... » read more

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