An OSAT Perspective On Semiconductor Market Trends


For the semiconductor industry, 2022 was a very interesting year. On one hand, it witnessed shortages in the supply chain. On the other hand, the macro-economic situation turned and demand for several consumer and computing devices plummeted. A trade war with China and ensuing localization of supply chain with passage of CHIPS act took shape in 2022. The auto industry is still recovering from t... » read more

Unknowns And Challenges In Advanced Packaging


Dick Otte, CEO of Promex Industries, sat down with Semiconductor Engineering to talk about unknowns in material properties, the impact on bonding, and why environmental factors are so important in complex heterogeneous packages. What follows are excerpts of that conversation. SE: Companies have been designing heterogeneous chips to take advantage of specific applications or use cases, but th... » read more

Supply Chain Collaboration Key To Making Chip Industry More Sustainable


Coming in the wake of the COP27, the Smart and Green Manufacturing Summit at SEMICON Europa 2022 (Munich, 15-17 November) had a timely focus on the semiconductor industry’s contribution to meeting the United Nations’ target of limiting global warming to 1.5°C above pre-industrial levels. However, in an industry as large and valuable as semiconductors, social as well as environmental imp... » read more

The Path To Known Good Interconnects


Chiplets and heterogenous integration (HI) provide a compelling way to continue delivering improvements in performance, power, area, and cost (PPAC) as Moore’s Law slows, but choosing the best way to connect these devices so they behave in consistent and predictable ways is becoming a challenge as the number of options continues to grow. More possibilities also bring more potential interac... » read more

DeepGBASS: Deep Guided Boundary-Aware Semantic Segmentation


Image semantic segmentation is ubiquitously used in scene understanding applications, such as AI Camera, which require high accuracy and efficiency. Deep learning has significantly advanced the state-of-the-art in semantic segmentation. However, many of recent semantic segmentation works only consider class accuracy and ignore the accuracies at the boundaries between semantic classes. To improv... » read more

Blog Review: Jan. 18


Synopsys' Dana Neustadter, Sara Zafar Jafarzadeh, and Ruud Derwig argue that we are already at an inflection point for post-quantum security because devices and infrastructure systems with longer life cycles or communicating data that must be kept confidential for an extended period need to have a path towards quantum-safe solutions. Siemens EDA's Harry Foster looks at trends in adoption of ... » read more

EV Architectures Evolving For Communication, Connectivity


Electric vehicle architectures are rapidly evolving to accommodate multiple forms of connectivity, including in-vehicle, vehicle-to-vehicle, and vehicle-to-infrastructure communication. But so far, automotive OEMs have yet to come to a consensus on the winning technologies or the necessary standards — all of which will be necessary as cars become increasingly autonomous and increasingly inter... » read more

Heterogeneous Integration: Fertile Ground For Medical And Biotech Innovation


Sensing components in medical and biotech devices often place severe restrictions on the assembly methods that can be employed, which is part of what is driving heightened demand for heterogeneous integration (HI). It is the newest frontier for the medical and biotech manufacturing services industry to contribute our own innovations by developing the processes to build these unique combinations... » read more

Scatterometry-Based Methodologies For Characterization Of MRAM Technology


Magnetoresistive random-access memory (MRAM) technology and recent developments in fabrication processes have shown it to be compatible with Si-based complementary metal oxide semiconductor (CMOS) technologies. The perpendicular spin transfer torque MRAM (STT-MRAM) configuration opened up opportunities for an ultra-dense MRAM evolution and was most widely adapted for its scalability. Insertion ... » read more

Research Bits: Jan. 17


Ionic circuit for neural nets Researchers at Harvard University and DNA Script developed an ionic circuit comprising hundreds of ionic transistors for neural net computing. While ions in water move slower than electrons in semiconductors, the team noted that the diversity of ionic species with different physical and chemical properties could be harnessed for more diverse information process... » read more

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