category: AI/ML/DL

category: IoT, Security & Automotive

SystemC-based Power Side-Channel Attacks Against AI Accelerators (Univ. of Lubeck)
By Technical Paper Link - 21 Dec, 2023 - Comments: 0

A new technical paper titled "SystemC Model of Power Side-Channel Attacks Against AI Accelerators: Superstition or not?" was published by researchers at Germany's University of Lubeck. Abstract "As training artificial intelligence (AI) models is a lengthy and hence costly process, leakage of such a model's internal parameters is highly undesirable. In the case of AI accelerators, side-chann... » read more

Mixed SRAM And eDRAM Cell For Area And Energy-Efficient On-Chip AI Memory (Yale Univ.)
By Technical Paper Link - 21 Dec, 2023 - Comments: 0

A new technical paper titled "MCAIMem: a Mixed SRAM and eDRAM Cell for Area and Energy-efficient on-chip AI Memory" was published by researchers at Yale University. Abstract: "AI chips commonly employ SRAM memory as buffers for their reliability and speed, which contribute to high performance. However, SRAM is expensive and demands significant area and energy consumption. Previous studies... » read more

Analog Planar Memristor Device: Developing, Designing, and Manufacturing
By Technical Paper Link - 20 Dec, 2023 - Comments: 0

A new technical paper titled "Analog monolayer SWCNTs-based memristive 2D structure for energy-efficient deep learning in spiking neural networks" was published by researchers at Delft University of Technology and Khalifa University. Abstract: "Advances in materials science and memory devices work in tandem for the evolution of Artificial Intelligence systems. Energy-efficient computation... » read more

Memory Devices-Based Bayesian Neural Networks For Edge AI
By Technical Paper Link - 20 Dec, 2023 - Comments: 0

A new technical paper titled "Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks" was published by researchers at Université Grenoble Alpes, CEA, LETI, and CNRS. Abstract: "Safety-critical sensory applications, like medical diagnosis, demand accurate decisions from limited, noisy data. Bayesian neural networks excel at such tasks, offering... » read more

Hardware-Based Methodology To Protect AI Accelerators
By Technical Paper Link - 13 Dec, 2023 - Comments: 0

A technical paper titled “A Unified Hardware-based Threat Detector for AI Accelerators” was published by researchers at Nanyang Technological University and Tsinghua University. Abstract: "The proliferation of AI technology gives rise to a variety of security threats, which significantly compromise the confidentiality and integrity of AI models and applications. Existing software-based so... » read more

A Survey Of Recent Advances In Spiking Neural Networks From Algorithms To HW Acceleration
By Technical Paper Link - 13 Dec, 2023 - Comments: 0

A technical paper titled “Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology” was published by researchers at Intel Labs, University of California Santa Cruz, University of Wisconsin-Madison, and University of Southern California. Abstract: "Neuromorphic computing and, in particular, spiking neural networks (SNNs) have becom... » read more

A Framework For Improving Current Defect Inspection Techniques For Advanced Nodes
By Technical Paper Link - 12 Dec, 2023 - Comments: 0

A technical paper titled “Improved Defect Detection and Classification Method for Advanced IC Nodes by Using Slicing Aided Hyper Inference with Refinement Strategy” was published by researchers at Ghent University, imec, and SCREEN SPE. Abstract: "In semiconductor manufacturing, lithography has often been the manufacturing step defining the smallest possible pattern dimensions. In recent ... » read more

More Efficient Side-Channel Analysis By Applying Two Deep Feature Loss Functions
By Technical Paper Link - 12 Dec, 2023 - Comments: 0

A technical paper titled “Beyond the Last Layer: Deep Feature Loss Functions in Side-channel Analysis” was published by researchers at Nanyang Technological University, Radboud University, and Delft University of Technology. Abstract: "This paper provides a novel perspective on improving the efficiency of side-channel analysis by applying two deep feature loss functions: Soft Nearest Neig... » read more

Deep Learning Discovers Millions Of New Materials (Google)
By Technical Paper Link - 06 Dec, 2023 - Comments: 0

A technical paper titled “Scaling deep learning for materials discovery” was published by researchers at Google DeepMind and Google Research. Abstract: "Novel functional materials enable fundamental breakthroughs across technological applications from clean energy to information processing. From microchips to batteries and photovoltaics, discovery of inorganic crystals has been bottleneck... » read more

GAA NSFETs: ML for Device and Circuit Modeling
By Technical Paper Link - 30 Nov, 2023 - Comments: 0

A new technical paper titled "A Comprehensive Technique Based on Machine Learning for Device and Circuit Modeling of Gate-All-Around Nanosheet Transistors" was published by researchers at National Yang Ming Chiao Tung University. Abstract (excerpt) "Machine learning (ML) is poised to play an important part in advancing the predicting capability in semiconductor device compact modeling domai... » read more

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