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Fabs Begin Ramping Up Machine Learning


Fabs are beginning to deploy machine learning models to drill deep into complex processes, leveraging both vast compute power and significant advances in ML. All of this is necessary as dimensions shrink and complexity increases with new materials and structures, processes, and packaging options, and as demand for reliability increases. Building robust models requires training the algorithms... » read more

Fingerprinting Chips For Traceability


Semiconductor components increasingly require unclonable and tamper resistant identifiers, which are especially necessary as devices become increasingly heterogeneous collections of chiplets and subsystems. These fingerprints provide traceability, which contributes to process improvements and yield learning and enable tracking for a tightly managed supply chain. While some of this technology... » read more

Applying ML In Failure Analysis


Experts at the Table: Semiconductor Engineering sat down to discuss how increasing complexity in semiconductor and packaging technology is driving shifts in failure analysis methods, with Frank Chen, director of applications and product management at Bruker Nano Surfaces & Metrology; Mike McIntyre, director of product management in the Enterprise Business Unit at Onto Innovation; Kamran H... » read more

IC Manufacturing Targets Less Water, Less Waste


Fabs, OSATs, and equipment makers are accelerating their efforts to consume less water while recycling more material waste in a trend toward better sustainability. With chips, sustainability is heavily focused on carbon emissions, and energy consumption is a significant contributor. But there is an equal effort underway to reduce water consumption and pollution. Across the globe, the number ... » read more

DRAM Test And Inspection Just Gets Tougher


DRAM manufacturers continue to demand cost-effective solutions for screening and process improvement amid growing concerns over defects and process variability, but meeting that demand is becoming much more difficult with the rollout of faster interfaces and multi-chip packages. DRAM plays a key role in a wide variety of electronic devices, from phones and PCs to ECUs in cars and servers ins... » read more

Isolating Critical Data In Failure Analysis


Experts at the Table: Semiconductor Engineering sat down to discuss traceability and the lack of data needed to perform root cause analysis with Frank Chen, director of applications and product management at Bruker Nano Surfaces & Metrology; Mike McIntyre, director of product management in the Enterprise Business Unit at Onto Innovation; Kamran Hakim, ASIC reliability engineer at Teradyne... » read more

Streamlining Failure Analysis Of Chips


Experts at the Table: Semiconductor Engineering sat down to discuss how increasing complexity in semiconductor and packaging technology is driving shifts in failure analysis methods, with Frank Chen, director of applications and product management at Bruker Nano Surfaces & Metrology; Mike McIntyre, director of product management in the Enterprise Business Unit at Onto Innovation; Kamran Hak... » read more

Data, System Reliability, and Privacy


Experts at the Table: Semiconductor Engineering sat down to discuss changes in test that address tracing device quality throughout a product’s lifetime, and over-arching concerns about data ownership and privacy, with Tom Katsioulas, CEO at Archon Design Solutions and U.S. Department of Commerce IoT advisory board member; Ming Zhang, vice president of R&D Acceleration at PDF Solutions; a... » read more

When And Where To Implement AI/ML In Fabs


Deciphering complex interactions between variables is where machine learning and deep learning shine, but figuring out exactly how ML-based systems will be most useful is the job of engineers. The challenge is in pairing their domain expertise with available ML tools to maximize the value of both. This depends on sufficient quantities of good data, highly optimized algorithms, and proper tra... » read more

Improving Reliability In Chips


Semiconductor Engineering sat down to discuss changes in test that address tracing device quality throughout a product’s lifetime with Tom Katsioulas, CEO at Archon Design Solutions and U.S. Department of Commerce IoT advisory board member; Ming Zhang, vice president of R&D Acceleration at PDF Solutions; and Uzi Baruch, chief strategy officer at proteanTecs. What follows are excerpts of t... » read more

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