Chip Industry Week In Review


Global spending on 300mm fab equipment is expected to reach a record US$400 billion from 2025 to 2027, according to SEMI. Key drivers are the regionalization of semiconductor fabs and the increasing demand for AI chips in data centers and edge devices, with China, South Korea, and Taiwan leading the way. The Biden-Harris Administration launched the National Semiconductor Technology Center’... » read more

Chip Industry Week In Review


By Susan Rambo, Jesse Allen, and Liz Allan The U.S. government will provide about $162 million in federal incentives, under the CHIPS and Science Act, to help Microchip onshore its semiconductor supply chain. The move is aimed at securing a reliable domestic supply of MCUs and mature-node chips. “Today’s announcement will help propel semiconductor manufacturing projects in Colorado and O... » read more

Chip Industry’s Technical Paper Roundup: Dec 11


New technical papers added to Semiconductor Engineering’s library this week. [table id=174 /] More ReadingTechnical Paper Library home » read more

Deep Learning Discovers Millions Of New Materials (Google)


A technical paper titled “Scaling deep learning for materials discovery” was published by researchers at Google DeepMind and Google Research. Abstract: "Novel functional materials enable fundamental breakthroughs across technological applications from clean energy to information processing. From microchips to batteries and photovoltaics, discovery of inorganic crystals has been bottleneck... » read more

Chip Industry’s Technical Paper Roundup: May 23


New technical papers recently added to Semiconductor Engineering’s library: [table id=104 /] 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

Solving Memory Mapping Issues with Deep RL (Google)


A technical paper titled "Optimizing Memory Mapping Using Deep Reinforcement Learning" was published by Google DeepMind and Google. Abstract: "Resource scheduling and allocation is a critical component of many high impact systems ranging from congestion control to cloud computing. Finding more optimal solutions to these problems often has significant impact on resource and time savings, red... » read more