Chip Industry Week In Review


TSMC is expected to reduce its Fab 14 mature-node capacity by 15% to 20% to free up resources for its advanced packaging technologies, reports Counterpoint. The foundry will likely rely on its VIS affiliate site in Singapore (operational in late 2026) and other overseas fabs to ensure continued supply for older nodes. Memory The U.S. threatened 100% tariffs on South Korean memory compan... » read more

Chip Industry Week In Review


The EU’s tariffs on semiconductors will not exceed 15%, according to Trump’s latest trade deal. In addition, the EU committed to purchasing at least $40 billion worth of U.S. AI chips as well as other investments. [FAQ is here.] Lifelines for Intel: Intel inked a deal to sell the U.S. government a 10% non-voting equity stake in its business, worth $8.9 billion. The stake will be fun... » read more

Chip Industry Week In Review


Three Fraunhofer Institutes (IIS/EAS, IZM, and ENAS) launched the Chiplet Center of Excellence, a research initiative to support the commercial introduction of chiplet technology. The center initially will focus on automotive electronics, developing workflows and methods for electronics design, demonstrator construction, and the evaluation of reliability. The UCIe Consortium published the Un... » read more

Chip Industry’s Technical Paper Roundup: Feb. 21


New technical papers recently added to Semiconductor Engineering’s library: [table id=82 /] If you have research papers you are trying to promote, we will review them to see if they are a good fit for our global audience. At a minimum, papers need to be well researched and documented, relevant to the semiconductor ecosystem, and free of marketing bias. There is no cost involved for us ... » read more

Review of Tools & Techniques for DL Edge Inference


A new technical paper titled "Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review" was published in "Proceedings of the IEEE" by researchers at University of Missouri and Texas Tech University. Abstract: Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted in breakthroughs in many areas. However, deploying thes... » read more

Will Open-Source Work For Chips?


Open source is getting a second look by the semiconductor industry, driven by the high cost of design at complex nodes along with fragmentation in end markets, which increasingly means that one size or approach no longer fits all. The open source movement, as we know it today, started in the 1980s with the launch of the GNU project, which was about the time the electronic design automation (... » read more