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Event-Driven RL Targets Long-Horizon Fab Control


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)


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)


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


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

Cross-Validated Timing Analysis for Automotive CAN Networks (NYCU et al.)


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.)


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


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

Boosting EUV Conversion Efficiency With 2-Micron Dual-Beam Laser Irradiation


Researchers from Utsunomiya University, RIKEN, The University of Tokyo, and Tohoku University, et al. have published “40% boost in extreme ultraviolet conversion efficiency via simultaneous dual-beam 2-µm laser irradiation”. Abstract “Scaling extreme ultraviolet (EUV) source power for next-generation lithography demands higher conversion efficiency (CE) at reduced per-pulse ene... » read more

Read-Centric DTCO for IGZO FeFETs 3D Heterogeneous AI memories (imec, KU Leuven)


Researchers from imec and KU Leuven have published “DTCO of NOR-Type IGZO FeFETs for 3D Heterogeneous AI Memories: A Read-Centric Perspective”. Abstract excerpt “This work evaluates the viability of NOR-type IGZO FeFETs for 3D heterogeneous AI memories from a read-centric design-technology co-optimization (DTCO) perspective, spanning on-chip back-end-of-line (BEOL) RAMs an... » read more

Accelerating Zero-Knowledge Proof Generation With Reconfigurable Hardware (KAIST)


Researchers from Korea Advanced Institute of Science and Technology (KAIST) have published “ZK-Flex: A Flexible and Scalable Framework for Accelerating Zero-Knowledge Proofs”. Abstract “Zero-knowledge proofs (ZKP) allows a prover to convince a verifier of computational correctness without revealing private data, ensuring both privacy and verifiability. However, proof generation i... » read more

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