Chip Industry Technical Paper Roundup: Sept. 24


New technical papers recently added to Semiconductor Engineering’s library: [table id=358 /] More ReadingTechnical Paper Library home » read more

Mixed Signal In-Memory Computing With Massively Parallel Gradient Calculations of High-Degree Polynomials


A new technical paper titled "Computing high-degree polynomial gradients in memory" was published by researchers at UCSB, HP Labs, Forschungszentrum Juelich GmbH, and RWTH Aachen University. Abstract "Specialized function gradient computing hardware could greatly improve the performance of state-of-the-art optimization algorithms. Prior work on such hardware, performed in the context of Isi... » read more

Hyperscale HW Optimized Neural Architecture Search (Google)


A new technical paper titled "Hyperscale Hardware Optimized Neural Architecture Search" was published by researchers at Google, Apple, and Waymo. "This paper introduces the first Hyperscale Hardware Optimized Neural Architecture Search (H2O-NAS) to automatically design accurate and performant machine learning models tailored to the underlying hardware architecture. H2O-NAS consists of three ... » read more

Technical Paper Round-Up: June 8


  New technical papers added to Semiconductor Engineering’s library this week. [table id=32 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a ... » read more

Zeroing In On Biological Computing


Artificial spiking neural networks need to replicate both excitatory and inhibitory biological neurons in order to emulate the neural activation patterns seen in biological brains. Doing this with CMOS-based designs is challenging because of the large circuit footprint required. However, researchers at HP Labs observed that one biologically plausible model, the Hodgkins-Huxley model, is math... » read more

Spiking Neural Networks Place Data In Time


Artificial neural networks have found a variety of commercial applications, from facial recognition to recommendation engines. Compute-in-memory accelerators seek to improve the computational efficiency of these networks by helping to overcome the von Neumann bottleneck. But the success of artificial neural networks also highlights their inadequacies. They replicate only a small subset of th... » read more

RISC-V: More Than a Core


The open-source RISC-V instruction set architecture (ISA) is attracting a lot of attention across the semiconductor industry, but its long-term success will depend on levels of cooperation never seen before in the semiconductor industry. The big question now is how committed the industry is to RISC-V's success. The real value that RISC-V brings is the promise of an ecosystem and the opportun... » read more

Printed Electronics Gets Serious About Manufacturing


A leading indicator in the coming-of-age saga of a new technology is the enthusiasm to be in the business of supplying manufacturing infrastructure. To sell infrastructure, there needs to be a belief that there are several customers out there. At the recent IDTech conference for printed electronics, the transition to manufacturing was clear based on those who presented and some notable absences... » read more

Manufacturing Bits: Aug. 6


Printing Ears Engineered cartilage is an option for auricular reconstruction. Enabling the development of engineered cartilage, Massachusetts General Hospital has fabricated a bioartificial ear using a 3D printer technology. The ear looks and mechanically behaves like a human one. Researchers used a titanium wire framework within a composite collagen ear-shaped scaffold to maintain the dime... » read more