Will Big Competition Attract More Talent For IC Companies?


Google is hiring a chip packaging technologist. General Motors is seeking a wafer fabrication procurement specialist. Facebook Reality Labs wants a materials researcher with experience in photolithography and nanoimprint techniques. Recent job postings by tech and automotive giants are enough to worry any chip company executive struggling to attract talent. But what may seem at first like a ... » read more

Deep Learning In Industrial Inspection


Deep learning is at the upper end of AI complexity, sifting through more data to achieve more accurate results. Charlie Zhu, vice president of R&D at CyberOptics, talks about how DL can be utilized with inspection to identify defects in chips that are not discernible by traditional computer vision algorithms, classifying multiple objects simultaneously from multiple angles and taking into accou... » read more

How AI/ML Improves Fab Operations


Chip shortages are forcing fabs and OSATs to maximize capacity and assess how much benefit AI and machine learning can provide. This is particularly important in light of the growth projections by market analysts. The chip manufacturing industry is expected to double in size over the next five years, and collective improvements in factories, AI databases, and tools will be essential for doub... » read more

Using GPUs In Semiconductor Manufacturing


Massive simulation and curvilinear shapes are forcing the photomask industry to rethink what types of chips work best. Aki Fujimura, CEO of D2S, talks about what happens when shapes printed on a mask are closer to what actually gets printed, how GPUs can be used to accelerate CPUs in single instruction/multiple data (SIMD) operations, and why pixel data is different from other data. » read more

Big Changes In Materials And Processes For IC Manufacturing


Rama Puligadda, CTO at Brewer Science, sat down with Semiconductor Engineering to talk about a broad set of changes in semiconductor manufacturing, packaging, and materials, and how that will affect reliability, processes, and equipment across the supply chain. SE: What role do sacrificial materials play in semiconductor manufacturing, and how is that changing at new process nodes? Puliga... » read more

Mask And Metrology Technology Trends


Aselta Nanographics of Grenoble, France, which produces software for wafer and mask patterning based on e-beam technology for IC manufacturing, along with advanced metrology solutions for scanning electron microscopes, recently became an ESD Alliance member. Adding to its impressive credentials, Aselta is a spin-off of CEA-Leti, the electronics and information technologies research institut... » read more

Survey: 2022 Deep Learning Applications


The 2022 member list of deep learning projects and products that eBeam members are working on in photomask to wafer semiconductor manufacturing. Participating companies include Advantest, ASML, Canon, CEA-LETI, D2S, Fraunhofer IPMS, Hitachi High-Tech Corporation, imec, NuFlare Technology, Siemens Industries Software, Inc.; Siemens EDA, STMicroelectronics, and TASMIT. Click here to see the su... » read more

Fundamental Shifts In IC Manufacturing Processes


High chip value and 3D packaging are changing where and how tests are performed, tightening design-for-reliability and accelerating the shift of tools from lab to fab. Heterogeneous integration and more domain-specific designs are causing a string of disruptions for chip manufacturers, up-ending proven fab processes and methodologies, extending the time it takes to manufacture a chip, and ul... » read more

Weaving Digital Threads Into A Global Fabric Of Enterprise Knowledge


How smart manufacturing software provides visibility and control of all phases of the semiconductor manufacturing process. Run-to-run (R2R) automated process control gathers critical data from each production run and automatically adjusts process parameters for the next run based on sophisticated models of process performance. Click here to read more. » read more

Next-Gen Transistors


Nanosheets, or more generally, gate-all-around FETs, mark the next big shift in transistor structures at the most advanced nodes. David Fried, vice president of computational products at Lam Research, talks with Semiconductor Engineering about the advantages of using these new transistor types, along with myriad challenges at future nodes, particularly in the area of metrology. » read more

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