Overview of Hardware-In-The-Loop (HIL) Simulations


This technical paper titled "Hardware-in-the-Loop Simulations: A Historical Overview of Engineering Challenges" was published by researchers at University of Maribor, Slovenia. Abstract: "The design of modern industrial products is further improved through the hardware-in-the-loop (HIL) simulation. Realistic simulation is enabled by the closed loop between the hardware under test (HUT) and ... » read more

Artificial Neural Network (ANN)-Based Model To Evaluate The Characteristics of A Nanosheet FET (NSFET)


This new technical paper titled "Machine-Learning-Based Compact Modeling for Sub-3-nm-Node Emerging Transistors" was published by researchers at SungKyunKwan University, Korea. Abstract: "In this paper, we present an artificial neural network (ANN)-based compact model to evaluate the characteristics of a nanosheet field-effect transistor (NSFET), which has been highlighted as a next-generat... » read more

Algorithm HW Framework That Minimizes Accuracy Degradation, Data Movement, And Energy Consumption Of DNN Accelerators (Georgia Tech)


This new research paper titled "An Algorithm-Hardware Co-design Framework to Overcome Imperfections of Mixed-signal DNN Accelerators" was published by researchers at Georgia Tech. According to the paper's abstract, "In recent years, processing in memory (PIM) based mixed-signal designs have been proposed as energy- and area-efficient solutions with ultra high throughput to accelerate DNN com... » read more

Designing for FPGA Accelerators


This research paper titled "High-Level Synthesis Hardware Design for FPGA-based Accelerators: Models, Methodologies, and Frameworks" was published by researchers at Università degli Studi di Trieste (Italy), Universidad Nacional de San Luis (Argentina), and the Abdus Salam International Centre for Theoretical Physics (Italy). According to the paper's abstract, "This paper presents a survey ... » read more

Synergies And Limitations Between Road Infrastructure And Automated Driving


This new technical paper titled "Road Infrastructure Challenges Faced by Automated Driving: A Review" was published by researchers at Graz University of Technology (Austria), University of Zagreb (Croatia), AKKA I&S (France). Abstract "Automated driving can no longer be referred to as hype or science fiction but rather a technology that has been gradually introduced to the market. The recen... » read more

Particle Removal From EUV Photomasks


This technical paper titled "AFM-Based Hamaker Constant Determination with Blind Tip Reconstruction" was just published by researchers at ASML, RWTH Aachen University, and AMO GmbH. The research reports a vaccuum AFM-based approach for particle removal from EUV photomasks. Find the technical paper here. Published August 2022. Ku, B., van de Wetering, F., Bolten, J., Stel, B., van de K... » read more

ML Architecture for Solving the Inverse Problem for Matter Wave Lithography: LACENET


This recent technical paper titled "Realistic mask generation for matter-wave lithography via machine learning" was published by researchers at University of Bergen (Norway). Abstract: "Fast production of large area patterns with nanometre resolution is crucial for the established semiconductor industry and for enabling industrial-scale production of next-generation quantum devices. Metasta... » read more

Max Planck Generates Up To 14 Entangled Photons In A Defined Way And With High Efficiency


A new technical paper titled "Efficient generation of entangled multiphoton graph states from a single atom" was published by researchers at Max Planck Institute of Quantum Optics. The team of physicists "generated up to 14 entangled photons in an optical resonator, which can be prepared into specific quantum physical states in a targeted and very efficient manner. The new method could facil... » read more

3D NAND: Scenarios For Scaling & Stacking


A new research paper titled "Impact of Stacking-Up and Scaling-Down Bit Cells in 3D NAND on Their Threshold Voltages" was published by researchers at Sungkyunkwan University and Korea University. Abstract "Over the past few decades, NAND flash memory has advanced with exponentially-increasing bit growth. As bit cells in 3D NAND flash memory are stacked up and scaled down together, some pote... » read more

ML-Based Framework for Automatically Generating Hardware Trojan Benchmarks


A new technical paper titled "Automatic Hardware Trojan Insertion using Machine Learning" was published by researchers at University of Florida and Stanford University. Abstract (partial): "In this paper, we present MIMIC, a novel AI-guided framework for automatic Trojan insertion, which can create a large population of valid Trojans for a given design by mimicking the properties of a small... » read more

← Older posts Newer posts →