Issues With Machine Learning In Fabs


Semiconductor Engineering sat down to discuss the issues and challenges with machine learning in semiconductor manufacturing with Kurt Ronse, director of the advanced lithography program at Imec; Yudong Hao, senior director of marketing at Onto Innovation; Romain Roux, data scientist at Mycronic; and Aki Fujimura, chief executive of D2S. What follows are excerpts of that conversation. Part one ... » read more

Inspection And Metrology Of Micro LED Technology


Micro LEDs developed using Rohinni’s technology can be deployed in consumer electronics devices, automotive applications and outdoor signage, among other applications. The disruptive technology enables products that are brighter, thinner, lighter and more dynamic that those currently on the market, with lower power consumption than LCD or OLED. Rohinni needed an inspection and metrology so... » read more

Finding Defects In IC Packages


Several equipment makers are ramping up new inspection equipment to address the growing defect challenges in IC packaging. At one time, finding defects in packaging was relatively straightforward. But as packaging becomes more complex, and as it is used in markets where reliability is critical, finding defects is both more difficult and more important. This has prompted the development of a ... » read more

Using Digital Twins And DL In Lithography


Leo Pang, chief product officer and executive vice president at D2S, looks at the results of inverse lithography technology at advanced nodes using curvilinear patterns, and how that can be combined with a digital twin and deep learning speed up time to market and reduce cost. » read more

Challenges Grow For Finding Chip Defects


Several equipment makers are developing or ramping up a new class of wafer inspection systems that address the challenges in finding defects in advanced chips. At each node, the feature sizes of the chips are becoming smaller, while the defects are harder to find. Defects are unwanted deviations in chips, which impact yield and performance. The new inspection systems promise to address the c... » read more

Inspection, Metrology Challenges Grow For SiC


Inspection and metrology are becoming more critical in the silicon carbide (SiC) industry amid a pressing need to find problematic defects in current and future SiC devices. Finding defects always has been a challenging task for SiC devices. But it’s becoming more imperative to find killer defects and reduce them as SiC device vendors begin to expand their production for the next wave of a... » read more

Hidden Soldier Joints Inspection: 4 Case Studies


IC packaging technologies are becoming smaller and thinner. Ball grid array (BGA) packages were introduced some years ago in order to save space on the PCB, and are now widely used. To overcome the resulting problems with using optical microscopy as an inspection tool, the endoscope found its way into quality engineering departments. To read more, click here. » read more

The Precision Knob


Precision used to be a goal, but increasingly it is being used as a tool. This is true for processing and algorithms, where less precision can greatly improve both performance and battery life. And it is true in manufacturing, where more precision can help minimize the growing impact of variation. Moreover, being able to dial precision up or down can help engineers see the impact on a system... » read more

Inspecting IC Packages Using Die Sorters


The shift toward more complex IC packages requires more advanced inspection systems in the production flow to capture unwanted defects in products. This includes traditional optical inspection tools in the in-line production flow, but it also now requires new die sorting equipment with advanced inspection capabilities. Die sorters are not the kind of equipment that typically attracts attenti... » read more

Finding Defects In Chips With Machine Learning


Chipmakers are using more and different traditional tool types than ever to find killer defects in advanced chips, but they are also turning to complementary solutions like advanced forms of machine learning to help solve the problem. A subset of artificial intelligence (AI), machine learning has been used in computing and other fields for decades. In fact, early forms of machine learning ha... » read more

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