News
Near-memory Dequantization Architecture In Custom HBM for LLM inference (SK hynix)
3+ hour, 16+ min ago (187+ words) Researchers from SK hynix published a technical paper titled “StreamDQ: Near-Memory Weight DeQuantization in Custom HBM for Scalable AI Inference Acceleration.” The paper proposes StreamDQ for “a lightweight architectural enhancement that enables on-the-fly dequantization in the memory subsystem for high-throughput,…...
From Data Accumulation To Data Activation: AI-Driven Data Feed Forward For Chiplet-Based Test
6+ day, 15+ hour ago (557+ words) Why the move to advanced packaging is reshaping how the industry collects, moves, and acts on test data, and how Data Feed Forward turns upstream measurements into downstream intelligence. For most of the industry’s history, the lever for semiconductor performance…...
Probabilistic Memory Architecture That Bridges The Gap Between RNG Sampling and Memory Access (Notre Dame, Georgia Tech, Villanova)
1+ week, 3+ day ago (197+ words) Researchers from University of Notre Dame, Georgia Institute of Technology, and Villanova University published a technical paper titled “Probabilistic Memory for Trustworthy Edge Intelligence.” Summary: The paper introduces p-MEM as “a unified memory primitive” that samples at “the native memory…...
Continuous Physics Reasoning: Definition, Minimum Criteria, and the Role of Foundation Models for Physics
2+ week, 5+ day ago (319+ words) A general-purpose system that reasons natively over physical structure with deterministic, solver-grade, out-of-the-box generality at manufacturing resolution. The post Continuous Physics Reasoning: Definition, Minimum Criteria, and the Role of Foundation Models for Physics appeared first on Semiconductor Engineering. Continuous Physics…...
Atom Probe Framework Tracks Phase Instability In Si-Doped Gallium Oxide (SUNY, Ohio State, LLNL)
3+ week, 4+ hour ago (201+ words) Researchers from University at Buffalo-SUNY, The Ohio State University, and Lawrence Livermore National Laboratory published a technical paper titled “Coordination-Sensitive Nanoscale Analysis of Defect-Driven Phase Transformation in Si-Doped (AlxGa1−x)2O3.” Abstract excerpt: “Defect-driven phase instability critically influences the structural reliability of ultrawide…...
Modeling Multi-GPU Traffic For Distributed AI Workloads (UW Madison, AMD)
3+ week, 6+ day ago (326+ words) 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…...
Physical Neural Networks: A Survey (U. of Lübeck, TU Hamburg)
4+ week, 45+ min ago (322+ words) 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…...
Refining Vision-Language Models For Lithography Defect Detection
1+ mon, 1+ day ago (254+ words) 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…...
Can AI Create Missing Models?
1+ mon, 2+ day ago (220+ words) It depends on what those models are used, which also can have a big impact on the cost. A model captures aspects of a development flow, but EDA flows have been constrained by the cost of creating, verifying, and maintaining…...
AI Models Transform Defect Inspection And Review, But Can Fail To Scale
1+ mon, 4+ day ago (671+ words) Majority of AI initiatives failing; synthetic data gaining traction due to limited real-world data. One of the brightest spots in AI use today is the industry’s ability to better capture the massive number of defect types occurring across hundreds of…...