EDA Software Design Flow Considerations For The RF/Microwave Module Designer


Miniaturization of consumer products, aerospace and defense systems, medical devices, and LED arrays has spawned the development of a technology known as the multi-chip module (MCM), which combines multiple integrated circuits (ICs), semiconductor die, and other discrete components within a unifying substrate for use as a single component. This white paper outlines the steps for implementing an... » read more

Embedded Software: Sometimes Easier, Often More Complex


Embedded software, once a challenge to write, update, and optimize, is following the route of other types of software. It is abstracted, simpler to use, and much faster to write. But in some cases, it's also much harder to get right. From a conceptual level, the general definition of embedded software has not changed much. It's still low-level drivers and RTOSes that run close to the hardwar... » read more

Using Dynamic Route Map Technique for Insight Into Memristors


New technical paper titled "Empirical Characterization of ReRAM Devices Using Memory Maps and a Dynamic Route Map," from Balearic Islands University, UC Berkeley, Health Institute of the Balearic Islands, International Hellenic University, Technische Universität Dresden, Universidad de Valladolid, and Aristotle University of Thessaloniki. Abstract: "Memristors were proposed in the early 1... » read more

Argonne & Univ. of Chicago: Using Quantum Computers to Simulate Quantum Materials


Research study titled "Simulating the electronic structure of spin defects on quantum computers," by Argonne National Laboratory and the University of Chicago. Abstract: "We present calculations of the ground and excited state energies of spin defects in solids carried out on a quantum computer, using a hybrid classical/quantum protocol. We focus on the negatively charged nitrogen vacancy c... » read more

Neuromorphic Chips & Power Demands


Research paper titled "A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware," from researchers at Graz University of Technology and Intel Labs. Abstract "Spike-based neuromorphic hardware holds the promise to provide more energy efficient implementations of Deep Neural Networks (DNNs) than standard hardware such as GPUs. But this requires to understand how D... » read more

Deep Learning In Industrial Inspection


Deep learning is at the upper end of AI complexity, sifting through more data to achieve more accurate results. Charlie Zhu, vice president of R&D at CyberOptics, talks about how DL can be utilized with inspection to identify defects in chips that are not discernible by traditional computer vision algorithms, classifying multiple objects simultaneously from multiple angles and taking into accou... » read more

Technical Paper Round-Up: May 24


New technical papers added to Semiconductor Engineering’s library this week.   [table id=29 /] 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

Research Bits: May 24


Printed flexible OLED display Researchers from the University of Minnesota Twin Cities and Korea Institute of Industrial Technology used a customized 3D printer to print a flexible OLED display. “OLED displays are usually produced in big, expensive, ultra-clean fabrication facilities,” said Michael McAlpine, a professor in the Department of Mechanical Engineering at University of Minnes... » read more

Computational SRAM (C-SRAM) Solution Combining In- and Near-Memory Computing Approaches


New academic paper titled "Towards a Truly Integrated Vector Processing Unit for Memory-bound Applications Based on a Cost-competitive Computational SRAM Design Solution", from researchers at Univ. Grenoble Alpes, CEA-LIST. Abstract "This article presents Computational SRAM (C-SRAM) solution combining In- and Near-Memory Computing approaches. It allows performing arithmetic, logic, and co... » read more

Nanosheet GeSn pTFTs: High Performance, Low Thermal Budget


New technical paper titled "Remarkably High-Performance Nanosheet GeSn Thin-Film Transistor" from researchers at National Yang Ming Chiao Tung University and others. Abstract "High-performance p-type thin-film transistors (pTFTs) are crucial for realizing low-power display-on-panel and monolithic three-dimensional integrated circuits. Unfortunately, it is difficult to achieve a high hole ... » read more

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