The Human Hand: Curating Good Data And Creating An Effective Deep-Learning R2R Strategy For High-Volume Manufacturing


Currently, the semiconductor manufacturing industry uses artificial intelligence and machine learning to take data and autonomously learn from that data. With the additional data, AI and ML can be used to quickly discover patterns and determine correlations in various applications, most notably those applications involving metrology and inspection, whether in the front-end of the manufacturing ... » read more

Hybrid Bonding Moves Into The Fast Lane


The industry’s unquenchable thirst for I/O density and faster connections between chips, particularly logic and cache memory, is transforming system designs to include 3D architectures, and hybrid bonding has become an essential component in that equation. Hybrid bonding involves die-to-wafer or wafer-to-wafer connection of copper pads that carry power and signals and the surrounding diele... » read more

Week in Review: Manufacturing, Test


Fab capacity STMicroelectronics and GlobalFoundries inked a deal to build a new jointly-operated 300mm fab adjacent to ST’s existing 300mm facility in Crolles, France. This facility is targeted to ramp at full capacity by 2026, with up to 620,000 300mm wafer per year production at full build-out (~42% ST and ~58% GF). The new facility will support several technologies, with a special focus... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility The head of Tesla’s Autopilot division — Andrej Karpathy — resigned from the company after Tesla laid off 200 people in its Autopilot division and the U.S. National Highway Transportation Safety Administration broadened its safety investigation of Tesla’s Autopilot. The NHTSA last month broadened its August 2021 investigation, which was looking at why Tesla cars on... » read more

Improving Yield With Machine Learning


Machine learning is becoming increasingly valuable in semiconductor manufacturing, where it is being used to improve yield and throughput. This is especially important in process control, where data sets are noisy. Neural networks can identify patterns that exceed human capability, or perform classification faster. Consequently, they are being deployed across a variety of manufacturing proce... » read more

Up And Away: Clear-Eyed Considerations For Your Cloud-Adoption Journey


It’s no secret the cloud is a driving force powering the digital transformation. However, cloud adoption is rarely a one-size-fits-all operation. Even when done correctly, it can bring about company-wide transformations unique to each organization. At the very core, the move to the cloud is akin to a culture change, and understanding these changes can make the transition successful. The follo... » read more

Finding Frameworks For End-To-End Analytics


End-to-end analytics can improve yield and ROI on tool purchases, but reaping those benefits will require common data formats, die traceability, an appropriate level of data granularity — and a determination of who owns what data. New standards, guidelines, and consortium efforts are being developed to remove these barriers to data sharing for analytics purposes. But the amount of work req... » read more

Week in Review: Manufacturing, Test


Breaking the Logjam The U.S. government’s delay in funding strategic chip capacity is threatening supply chains that are critical to national security. In fact, classified meetings are being held this week on the subject. Meanwhile, recognizing that time is of the essence, a group of billionaires has backed the “America’s Frontier Fund,” a non-profit group that aims to spur U.S. chipma... » read more

Keeping IC Packages Cool


Placing multiple chips into a package side-by-side can alleviate thermal issues, but as companies dive further into die stacking and denser packaging to boost performance and reduce power, they are wrestling with a whole new set of heat-related issues. The shift to advanced packaging enables chipmakers to meet demands for increasing bandwidth, clock speeds, and power density for high perform... » read more

Removing Barriers For End-To-End Analytics


Parties are coming together, generating guidelines for sharing data from IC design and manufacturing through end of life, setting the stage for true end-to-end analytics. While the promise of big data analytics is well understood, data sharing through the semiconductor supply chain has been stymied by an inability to link together data sources throughout the lifecycle of a chip, package, or ... » read more

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