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Fabs Drive Deeper Into Machine Learning


Advanced machine learning is beginning to make inroads into yield enhancement methodology as fabs and equipment makers seek to identify defectivity patterns in wafer images with greater accuracy and speed. Each month a wafer fabrication factory produces tens of millions of wafer-level images from inspection, metrology, and test. Engineers must analyze that data to improve yield and to reject... » read more

Memory Subsystems In Edge Inferencing Chips


Geoff Tate, CEO of Flex Logix, talks about key issues in a memory subsystem in an inferencing chip, how factors like heat can affect performance, and where these kinds of chips will be used. » read more

Building An Efficient Inferencing Engine In A Car


David Fritz, who heads corporate strategic alliances at Mentor, a Siemens Business, talks about how to speed up inferencing by taking the input from sensors and quickly classifying the output, but also doing that with low power. » read more

Antenna Array Design for ADAS


By Milton Lien and David Vye By implementing radar technology over the 76 to 81 GHz spectrum, advanced driver-assist systems (ADAS) enable smart vehicles with the ability to alert and assist drivers in a variety of functions, from low tire-pressure warning to collision avoidance to self-parking. These automotive radar applications use the millimeter-wave (mmWave) spectrum to exploit more ban... » read more