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Week In Review: Auto, Security, Pervasive Computing


Automotive and mobility Seventeen U.S. states must decide whether or not to follow California's new law that mandates that all new cars, pickups and SUVs be electric or hydrogen-powered by 2035. The Clean Air Act dictates that states must follow federal guidelines unless they follow certain components of California's rules. A research firm says consumers are most passionate about a high-tec... » read more

Technical Paper Roundup: Sept 6


New technical papers added to Semiconductor Engineering’s library this week. [table id=49 /] 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 good fit f... » read more

Vulnerability of Neural Networks Deployed As Black Boxes Across Accelerated HW Through Electromagnetic Side Channels


This technical paper titled "Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel" was presented by researchers at Columbia University, Adobe Research and University of Toronto at the 31st USENIX Security Symposium in August 2022. Abstract: "Neural network applications have become popular in both enterprise and personal settings. Network solutions are tune... » read more

Technical Paper Round-up: June 14


New technical papers added to Semiconductor Engineering’s library this week. [table id=33 /] 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 good fit f... » read more

Deep Learning Applications For Material Sciences: Methods, Recent Developments


New technical paper titled "Recent advances and applications of deep learning methods in materials science" from researchers at NIST, UCSD, Lawrence Berkeley National Laboratory, Carnegie Mellon University, Northwestern University, and Columbia University. Abstract "Deep learning (DL) is one of the fastest-growing topics in materials data science, with rapidly emerging applications spanning... » read more

Technical Paper Round-up: May 3


New technical papers added to Semiconductor Engineering’s library this week. [table id=24 /] 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 good fit for... » read more

Current Knowledge & Future Development In 2D Magnetic Materials Research


Abstract: "Magnetism in two-dimensional (2D) van der Waals (vdW) materials has recently emerged as one of the most promising areas in condensed matter research, with many exciting emerging properties and significant potential for applications ranging from topological magnonics to low-power spintronics, quantum computing, and optical communications. In the brief time after their discovery, 2D... » read more

Research Bits: March 22


Securing wireless communications without encryption Researchers from Princeton University, University of Michigan–Shanghai Jiao Tong University Joint Institute, and Xi’an Jiaotong University developed a millimeter-wave wireless chip that allows secure wireless transmissions and makes it challenging to eavesdrop on high-frequency wireless transmissions, even with multiple colluding bad acto... » read more

Always-On Sub-Microwatt Spiking Neural Network Based on Spike-Driven Clock- and Power-Gating for an Ultra-Low-Power Intelligent Device


Abstract: "This paper presents a novel spiking neural network (SNN) classifier architecture for enabling always-on artificial intelligent (AI) functions, such as keyword spotting (KWS) and visual wake-up, in ultra-low-power internet-of-things (IoT) devices. Such always-on hardware tends to dominate the power efficiency of an IoT device and therefore it is paramount to minimize its power diss... » read more

High-Level Synthesis For RISC-V


High-quality RISC-V implementations are becoming more numerous, but it is the extensibility of the architecture that is driving a lot of design activity. The challenge is designing and implementing custom processors without having to re-implement them every time at the register transfer level (RTL). There are two types of high-level synthesis (HLS) that need to be considered. The first is ge... » read more

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