Author's Latest Posts

Analyzing Rowhammer Vulnerability in Monolithic 3D IWO eDRAM for Edge (ASU, Georgia Tech)
By Technical Paper Link - 05 Jun, 2026 - Comments: 0

Researchers from Arizona State University and Georgia Institute of Technology published “Thermal- and Aging-Aware Rowhammer Vulnerability Analysis of Monolithically-Integrated IWO eDRAM for Edge Platforms”. "This work presents the first comprehensive temperature- and aging-aware vulnerability analysis of amorphous Indium Tungsten Oxide (IWO) embedded DRAM (eDRAM), a promising next-... » read more

Scaling Nanoribbon Transistors with Monolayer TMDs (Stanford, Chalmers, Horiba, SLAC)
By Technical Paper Link - 03 Jun, 2026 - Comments: 0

Researchers from Stanford University, Chalmers University of Technology, HORIBA Scientific, and SLAC National Accelerator Laboratory have published “Scaling nanoribbon transistors with monolayer transition metal dichalcogenides”. Abstract “Nanoscale transistors demand aggressive scaling of all channel dimensions—length, width and thickness. Two-dimensional semiconductors (2DS... » read more

Using Graph Attention for Virtual Metrology in Semiconductor Manufacturing (Intel Foundry, ASU)
By Technical Paper Link - 02 Jun, 2026 - Comments: 0

Researchers from Arizona State University and Intel Foundry have published “Graph Attention-Based Virtual Metrology for Film Deposition Processes in Semiconductor Manufacturing”. Abstract “Artificial intelligence-driven semiconductor manufacturing increasingly operates at nanometer and angstrom scales, where precise process control depends on accurate and timely metrology. Howeve... » read more

Surface Modification for III-V Selective Area MBE of Non-Selective Mask Materials (UT Austin, Harvard)
By Technical Paper Link - 02 Jun, 2026 - Comments: 0

Researchers from University of Texas at Austin and Harvard University published “Surface Modification for III-V Selective Area Molecular Beam Epitaxy of Non-Selective Mask Materials”. Abstract Excerpt “Selective-area embedded regrowth of III-V semiconductors by molecular beam epitaxy enables the seamless integration of metals and dielectrics into crystalline material for novel... » read more

Scaling Open-Source HW Accelerator for Deep NN Inference (UDE, Fraunhofer IMS)
By Technical Paper Link - 02 Jun, 2026 - Comments: 0

Researchers from University of Duisburg-Essen and Fraunhofer Institute for Microelectronic Circuits and Systems have published “OpenEye: A Scalable Open-Source Hardware Accelerator for DNNs”. Abstract “The increasing computational complexity of deep neural network inference poses significant challenges for efficient hardware acceleration on embedded platforms, particularly with respect ... » read more

Moving Intelligence Closer to the Sensor Edge (IBM Research)
By Technical Paper Link - 02 Jun, 2026 - Comments: 0

A researcher from IBM Research - Europe published “Emerging Trends in Intelligent Sensing”. Abstract “The rapid proliferation of artificial intelligence, connected devices, and high speed mobile networks is driving unprecedented computational demands that challenge traditional sensor architectures. This article explores the shift toward edge computing, where computation is perfor... » read more

Flexible AI-MCU For Fast Inference of Transformer Models At The Ultra-Low-Power Edge (ETH Zurich, U. Bologna)
By Technical Paper Link - 02 Jun, 2026 - Comments: 0

Researchers from ETH Zurich and University of Bologna have released “CHIMERA: A Flexible and Scalable 3.1 TOPS/W AI-MCU with Transformer Accelerator and 563 Gb/s Shared-L2 Memory Subsystem with QoS Guarantees”. Abstract “We present Chimera, a flexible and scalable Microcontroller Unit (MCU) designed to accelerate real-time inference of rapidly evolving transformer-based models a... » read more

Building Fixed HW Implementations of Neural Networks (Yale, Cornell et al.)
By Technical Paper Link - 29 May, 2026 - Comments: 0

Researchers from Yale University, Cornell University, Boston University, and NTT Research have published “Physical Foundation Models: Fixed hardware implementations of large-scale neural networks”. Abstract "Foundation models are deep neural networks (such as GPT-5, Gemini~3, and Opus~4) trained on large datasets that can perform diverse downstream tasks -- text and code generation, q... » read more

Characterization of GPU-based Inference for Reasoning-Centric LLMs (Micron, Argonne)
By Technical Paper Link - 26 May, 2026 - Comments: 0

Researchers from Micron Technology and Argonne National Laboratory have released “Understanding Inference Scaling for LLMs: Bottlenecks, Trade-offs, and Performance Principles”. Abstract “The transition from standard generative AI to reasoning-centric architectures, exemplified by models capable of extensive Chain-of-Thought (CoT) processing, marks a fundamental paradigm shift i... » read more

Detecting Defect-Induced Silent Data Corruptions in CPUs (Stanford, Google)
By Technical Paper Link - 25 May, 2026 - Comments: 0

Researchers from Stanford University and Google have published “ITHICA: Intra-Thread Instruction Checking Approach for Defect-Induced Silent Data Corruptions”. Abstract “Hyperscaler reports of silent data corruptions (SDCs)—presumed to be caused by silicon manufacturing defects—have motivated the development of functional tests for detecting defective CPUs and their use in h... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2026 SMG   |  Terms of Service  |  Privacy Policy