category: AI/ML/DL

category: IoT, Security & Automotive

Overview of Machine Learning Algorithms Used In Hardware Security (TU Delft)
By Technical Paper Link - 09 Apr, 2023 - Comments: 0

A new technical paper titled "A Survey on Machine Learning in Hardware Security" was published by researchers at TU Delft. Abstract "Hardware security is currently a very influential domain, where each year countless works are published concerning attacks against hardware and countermeasures. A significant number of them use machine learning, which is proven to be very effective in ... » read more

Low-Power Heterogeneous Compute Cluster For TinyML DNN Inference And On-Chip Training
By Technical Paper Link - 09 Apr, 2023 - Comments: 0

A new technical paper titled "DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training" was published by researchers at University of Bologna and ETH Zurich. Abstract "On-chip deep neural network (DNN) inference and training at the Extreme-Edge (TinyML) impose strict latency, throughput, accuracy, and flexibility requirements. Heterogeneous clus... » read more

Neuromorphic Computing: Self-Adapting HW With ReRAMs
By Technical Paper Link - 03 Apr, 2023 - Comments: 0

A new technical paper titled "A self-adaptive hardware with resistive switching synapses for experience-based neurocomputing" was published by researchers at Infineon Technologies, Politecnico di Milano and IUNET, Weebit Nano, and CEA Leti. Abstract "Neurobiological systems continually interact with the surrounding environment to refine their behaviour toward the best possible reward. Achie... » read more

Combination of AI Techniques To Find The Best Ways to Place Transistors on Silicon Chips
By Technical Paper Link - 30 Mar, 2023 - Comments: 0

A new technical paper titled "AutoDMP: Automated DREAMPlace-based Macro Placement" was published by researchers at NVIDIA. Abstract: "Macro placement is a critical very large-scale integration (VLSI) physical design problem that significantly impacts the design power-performance-area (PPA) metrics. This paper proposes AutoDMP, a methodology that leverages DREAMPlace, a GPU-accelerated place... » read more

3D-IC: Operator Learning Framework For Ultra-Fast 3D Chip Thermal Prediction Under Multiple Chip Design Configurations
By Technical Paper Link - 24 Mar, 2023 - Comments: 0

A new technical paper titled "DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design" was published (preprint) by researchers at UCSB and Cadence. Abstract "Thermal issue is a major concern in 3D integrated circuit (IC) design. Thermal optimization of 3D IC often requires massive expensive PDE simulations. Neural network-based thermal prediction models can perform ... » read more

Solving The Reliability Problem Of Memristor-Based Artificial Neural Networks
By Technical Paper Link - 19 Mar, 2023 - Comments: 0

A technical paper titled "ReMeCo: Reliable Memristor-Based in-Memory Neuromorphic Computation" was published by researchers at Eindhoven University of Technology, University of Tehran, and USC. Abstract: "Memristor-based in-memory neuromorphic computing systems promise a highly efficient implementation of vector-matrix multiplications, commonly used in artificial neural networks (ANNs). H... » read more

Learning The AMS Circuit Representation From Layout Positions (UT Austin/ NVIDIA)
By Technical Paper Link - 15 Mar, 2023 - Comments: 0

A recent technical paper titled "TAG: Learning Circuit Spatial Embedding From Layouts" was published by researchers at UT Austin and NVIDIA. Abstract "Analog and mixed-signal (AMS) circuit designs still rely on human design expertise. Machine learning has been assisting circuit design automation by replacing human experience with artificial intelligence. This paper presents TAG, a new parad... » read more

More Accurate And Detailed Analysis of Semiconductor Defects In SEM Images Using SEMI-PointRend
By Technical Paper Link - 10 Mar, 2023 - Comments: 0

A technical paper titled "SEMI-PointRend: Improved Semiconductor Wafer Defect Classification and Segmentation as Rendering" was published (preprint) by researchers at imec, University of Ulsan, and KU Leuven. Abstract: "In this study, we applied the PointRend (Point-based Rendering) method to semiconductor defect segmentation. PointRend is an iterative segmentation algorithm inspired by ima... » read more

SpGEMM Targeting RISC-V Vector Processors (Barcelona Supercomputing Center)
By Technical Paper Link - 10 Mar, 2023 - Comments: 0

A new technical paper titled "Optimization of SpGEMM with Risc-V vector instructions" was published (preprint) by researchers at the Barcelona Supercomputing Center. Abstract "The Sparse GEneral Matrix-Matrix multiplication (SpGEMM) C=A×B is a fundamental routine extensively used in domains like machine learning or graph analytics. Despite its relevance, the efficient execution of SpGEMM ... » read more

Virtual Process Game To Benchmark Performance of Humans And Computers For Design Of A Semiconductor Fabrication Process
By Technical Paper Link - 09 Mar, 2023 - Comments: 0

A new technical paper titled "Human–machine collaboration for improving semiconductor process development" was published by researchers at Lam Research. Abstract: "One of the bottlenecks to building semiconductor chips is the increasing cost required to develop chemical plasma processes that form the transistors and memory storage cells These processes are still developed manually using h... » read more

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