category: Technical Papers

category: Auto, Security & Edge AI

Event-Driven RL Targets Long-Horizon Fab Control
By Technical Paper Link - 21 Jun, 2026 - Comments: 0

Researchers from Politecnico di Milano and STMicroelectronics published a technical paper titled “Event-Driven Reinforcement Learning Enables Long-Horizon Control in Semiconductor Fabrication.” The paper proposes a deep reinforcement learning framework for multi-objective policy optimization in semiconductor manufacturing, where heterogeneous wafers move through hundreds of process steps... » read more

Timing Leaks In Embedded MIPS Processors (Rochester)
By Technical Paper Link - 21 Jun, 2026 - Comments: 0

Researchers from Rochester Institute of Technology published a technical paper titled “MIPSBLEED: Uncovering Microarchitectural Timing Leaks in Pervasive Embedded Processors.” Excerpt from abstract "This paper exposes how Simultaneous Multithreading (SMT), a feature increasingly used to boost performance in these environments, creates powerful cross-core timing channels on MIPS-based ... » read more

Tool-Assisted LLM Targets RTL Code Generation (UC Riverside, Futurewei)
By Technical Paper Link - 21 Jun, 2026 - Comments: 0

Researchers from University of California, Riverside and Futurewei published a technical paper titled “LLM4RTL: Tool-Assisted LLM for RTL Generation.” Abstract: “Large language models (LLMs) have facilitated impressive progress in software engineering, code generation, tooling, and systems. Concurrently, a significant body of research has developed which explores a growing variety o... » read more

Google Details Five Generations Of TPU Training Supercomputers
By Technical Paper Link - 16 Jun, 2026 - Comments: 0

Researchers from Google and University of California, Berkeley published a technical paper titled “Google’s Training Supercomputers from TPU v2 to Ironwood: Architectural Stability, Scale, Resilience, Power Efficiency, and Sustainability Across Five Generations.” The paper summarizes five generations of Google TPUs, from TPU v2 through Ironwood, and examines how the systems evolved int... » read more

Modeling Multi-GPU Traffic For Distributed AI Workloads (UW Madison, AMD)
By - 15 Jun, 2026 - Comments: 0

Researchers from University of Wisconsin-Madison and AMD Research and Advanced Development published a technical paper titled “Eidola: Modeling Multi-GPU Network Communication Traffic in Distributed AI Workloads.” Abstract: “As distributed AI workloads grow in scale, multi-GPU systems have become essential for training large models. Although techniques like kernel fusion and overlapping... » read more

Physical Neural Networks: A Survey (U. of Lübeck, TU Hamburg)
By - 15 Jun, 2026 - Comments: 0

Researchers from the University of Lübeck and TU Hamburg published a technical paper titled “Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing.” Abstract: “Physical implementations of neural computation now extend far beyond silicon hardware, encompassing substrates such as memristive devices, photonic circuits, mechanical metamaterials, microfluidic netwo... » read more

Fault Injection Framework Targets RISC-V Security Weak Spots
By - 14 Jun, 2026 - Comments: 0

Researchers from Politecnico di Torino and CEA-List published a technical paper titled “InjectV: Modeling Fault Injection Attacks in RISC-V Simulation Environment.” Abstract "Fault Injection Attacks (FIAs) are a significant threat to hardware security, capable of compromising systems by inducing malicious faults in computation or storage. Evaluating resilience against such attacks is chal... » read more

Cross-Validated Timing Analysis for Automotive CAN Networks (NYCU et al.)
By Technical Paper Link - 12 Jun, 2026 - Comments: 0

Researchers from National Yang Ming Chiao Tung University (NYCU) and Chung Yuan Christian University have published “A Cross-Validated DSPN and Worst-Case Response-Time Framework for Timing Analysis of Automotive CAN Networks”. Abstract “Controller Area Network (CAN) remains a key in-vehicle communication protocol for distributed automotive control systems, where predictab... » read more

Optimizing EUV Source Efficiency With Radiation-Hydrodynamic Simulations (U. Of Osaka et al.)
By Technical Paper Link - 12 Jun, 2026 - Comments: 0

Researchers from The University of Osaka, National Institute for Fusion Science, National Institutes for Quantum Science and Technology, and Osaka Metropolitan University, et al. have published “Optimization of EUV output by experimentally validated radiation-hydrodynamic simulations across a broad laser parameter space”.   Abstract “Practical requirements such as improving ... » read more

Refining Vision-Language Models For Lithography Defect Detection
By Technical Paper Link - 12 Jun, 2026 - Comments: 0

Researchers from Hanyang University, Korea University, and Korea Institute of Industrial Technology have published “Failure-Aware Refinement of Vision-Language Model for Lithography Defect Detection”. Abstract “Semiconductor lithography inspection requires reliable detection of small pattern defects such as bridge, burr, pinch, and contamination. In this study, we propose ... » read more

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