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