Chip Industry Week In Review


Chinese firms imported almost $26 billion worth of chipmaking machinery, according to fresh trade data released by China’s General Administration of Customs this week, Bloomberg reports. Meanwhile, the global semiconductor manufacturing industry continued to show signs of improvement in Q2 2024 with significant growth of IC sales, stabilizing capital expenditure, and an increase in install... » read more

Chip Industry Week In Review


President Biden will raise the tariff rate on Chinese semiconductors from 25% to 50% by 2025, among other measures to protect U.S. businesses from China’s trade practices. Also, as part of President Biden’s AI Executive Order, the Administration released steps to protect workers from AI risks, including human oversight of systems and transparency about what systems are being used. Intel ... » read more

Chip Industry Technical Paper Roundup: May 7


New technical papers added to Semiconductor Engineering’s library this week. [table id=223 /] More ReadingTechnical Paper Library home » read more

A Micro Light-Emitting Transistor With An N-Channel GaN FET In Series With A GaN LED


A technical paper titled “Tunnel Junction-Enabled Monolithically Integrated GaN Micro-Light Emitting Transistor” was published by researchers at the Ohio State University and Sandia National Laboratory. Abstract: "GaN/InGaN microLEDs are a very promising technology for next generation displays. Switching control transistors and their integration are key components in achieving high-perfor... » read more

Manufacturing Bits: Nov. 16


New hybrid EUV photoresist The U.S. Department of Energy (DOE) has announced the winners for a recent entrepreneurial technology competition, including the development of a new EUV hybrid resist and an antibody therapeutics platform. The event, called the National Lab Accelerator Pitch Event, involved a competition among 11 researchers within the DOE’s national labs. Researchers pitched ... » read more

Power/Performance Bits: May 19


Neuromorphic magnetic nanowires Researchers from the University of Texas at Austin, University of Texas at Dallas, and Sandia National Laboratory propose a neuromorphic computing method using magnetic components. The team says this approach can cut the energy cost of training neural networks. "Right now, the methods for training your neural networks are very energy-intensive," said Jean Ann... » read more

Blog Review: Dec. 11


Arm's Urmish Thakker investigates ways to make recurrent neural networks run on resource constrained devices with limited cache and compute resources by reducing the number of RNN computations, without the need to retrain the original RNN model. Mentor's Brent Klingforth digs into the challenges of designing rigid-flex PCBs and how advanced capabilities in modern tools, like awareness of sta... » read more

The Next Big Chip Companies


Rambus’ Mike Noonen looks at why putting everything on a single die no longer works, what comes after Moore’s Law, and what the new business model looks like for chipmakers. https://youtu.be/X6Kca8Vm-wA » read more