tag: Onto Innovation

Making Sure AI/ML Works In Test Systems
By Susan Rambo - 09 Mar, 2021 - Comments: 0

Artificial intelligence/machine learning is being utilized increasingly to find patterns and outlier data in chip manufacturing and test, improving the overall yield and reliability of end devices. But there are too many variables and unknowns to reliably predict how a chip will behave in the field using just AI. Today, every AI use case — whether a self-driving car or an industrial sortin... » read more

Part Average Tests For Auto ICs Not Good Enough
By Anne Meixner - 24 Feb, 2021 - Comments: 0

Part Average Testing (PAT) has long been used in automotive. For some semiconductor technologies it remains viable, while for others it is no longer good enough. Automakers are bracing for chips developed at advanced process nodes with much trepidation. Tight control of their supply chains and a reliance upon mature electronic processes so far have enabled them to increase electronic compone... » read more

Breaking The 2nm Barrier
By Mark LaPedus - 18 Feb, 2021 - Comments: 4

Chipmakers continue to make advancements with transistor technologies at the latest process nodes, but the interconnects within these structures are struggling to keep pace. The chip industry is working on several technologies to solve the interconnect bottleneck, but many of those solutions are still in R&D and may not appear for some time — possibly not until 2nm, which is expected t... » read more

Demystifying ADC
By Xuandong Cao - 09 Feb, 2021 - Comments: 1

ADC stands for automatic defect classification. It’s a software that classifies defects based on image and metadata such as location, ROI, and other information associated with a defect. ADC is not a mysterious black box that’s impossible to understand. Instead, ADC classifies defects the same way a human operator does, by first being trained by an expert. Then, just like human classificati... » read more

Data Issues Mount In Chip Manufacturing
By Anne Meixner - 09 Feb, 2021 - Comments: 2

For yield management systems the old calculation adage, "garbage in/garbage out" still rings true. Aligning and cleaning data remains a dirty business. With the increased value in data in the semiconductor supply chain, there now are essentially two supply chains running in parallel. One involves the physical product being created, while the other includes the data associated with each proce... » read more

Monitoring Critical Process Steps In 3D NAND Using Picosecond Ultrasonic Metrology With Both Thickness And Sound Velocity Capabilities
By Onto Innovation - 08 Feb, 2021 - Comments: 0

Amorphous carbon (a-C) based hard masks provide superior etch selectivity, chemical inertness, are mechanically strong, and have been used for etching deep, high aspect ratio features that conventional photoresists cannot withstand. Picosecond Ultrasonic Technology (PULSE Technology) has been widely used in thin metal film metrology because of its unique advantages, such as being a rapid, non-... » read more

New Transistor Structures At 3nm/2nm
By Mark LaPedus - 25 Jan, 2021 - Comments: 12

Several foundries continue to develop new processes based on next-generation gate-all-around transistors, including more advanced high-mobility versions, but bringing these technologies into production is going to be difficult and expensive. Intel, Samsung, TSMC and others are laying the groundwork for the transition from today’s finFET transistors to new gate-all-around field-effect trans... » read more

Hidden Costs In Faster, Low-Power AI Systems
By Ed Sperling - 20 Jan, 2021 - Comments: 1

Chipmakers are building orders of magnitude better performance and energy efficiency into smart devices, but to achieve those goals they also are making tradeoffs that will have far-reaching, long-lasting, and in some cases unknown impacts. Much of this activity is a direct result of pushing intelligence out to the edge, where it is needed to process, sort, and manage massive increases in da... » read more

Week In Review: Auto, Security, Pervasive Computing
By Susan Rambo - 15 Jan, 2021 - Comments: 0

Automotive/Mobility Tesla has to recall 158,000 2012-2018 Model S and 2016-2018 Model X vehicles because of an eMMC NAND flash memory chip. The chip can cause the touchscreen to stop working when the memory reaches its limit of writes. According to a story in Reuters, the United States NHTSA (National Highway Traffic Safety Administration) is insisting on the recall because many of Tesla contr... » read more

Too Much Fab And Test Data, Low Utilization
By Anne Meixner - 12 Jan, 2021 - Comments: 7

Can there be such a thing as too much data in the semiconductor and electronics manufacturing process? The answer is, it depends. An estimated 80% or more of the data collected across the semiconductor supply chain is never looked at, from design to manufacturing and out into the field. While this may be surprising, there are some good reasons: Engineers only look at data necessary to s... » read more

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