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Semiconductor Engineering
semiengineering.com > blog-review-jan-14-2

Blog Review: Jan. 14

Blog Review: Jan. 145+ hour, 20+ min ago   (509+ words) Arm's Paul Black demonstrates how lightweight LLVM sanitizers help detect undefined behavior, improve code quality, and expose hidden bugs in embedded C and C++ projects, with a focus on two sanitizers that can catch issues such as unsigned signed shift…...

Semiconductor Engineering
semiengineering.com > revolutionizing-semiconductor-collaboration-the-emergence-of-ai-driven-industry-platforms

Revolutionizing Semiconductor Collaboration: The Emergence of AI-Driven Industry Platforms

Revolutionizing Semiconductor Collaboration: The Emergence of AI-Driven Industry Platforms1+ day, 5+ hour ago   (208+ words) Revolutionizing Semiconductor Collaboration: The Emergence of AI-Driven Industry Platforms'Semiconductor Engineering Revolutionizing Semiconductor Collaboration: The Emergence of AI-Driven Industry Platforms How to manage the unique characteristics and massive volumes of design and manufacturing data, while enabling secure collaboration with robust IP…...

Semiconductor Engineering
semiengineering.com > improving-end-to-end-cyber-threat-detection-with-quantum-processors-through-hybrid-architecture-johns-hopkins-univ

Improving End-to-End Cyber Threat Detection with Quantum Processors Through Hybrid Architecture (Johns Hopkins Univ.)

Improving End-to-End Cyber Threat Detection with Quantum Processors Through Hybrid Architecture (Johns Hopkins Univ.)1+ day, 15+ hour ago   (387+ words) A new technical paper titled "Cyber Threat Detection Enabled by Quantum Computing" was published by researchers at Johns Hopkins University. Abstract "Threat detection models in cybersecurity must keep up with shifting traffic, strict feature budgets, and noisy hardware, yet even…...

semiengineering.com
semiengineering.com > four-architectural-opportunities-for-llm-inference-hardware-google

Four Architectural Opportunities for LLM Inference Hardware (Google)

4+ day, 19+ hour ago   (214+ words) A new technical paper titled "Challenges and Research Directions for Large Language Model Inference Hardware" was published by Google. Abstract "Large Language Model (LLM) inference is hard. The autoregressive Decode phase of the underlying Transformer model makes LLM inference fundamentally different…...

semiengineering.com
semiengineering.com > blog-review-jan-7-2

Blog Review: Jan. 7

1+ week, 5+ hour ago   (598+ words) TSV overview; thermal trends; AI-assisted design; 6G isn't just faster 5G; model tradeoffs. Cadence's Reela Samuel presents an overview of through-silicon vias, including structure, pitch, and electrical behavior, key layout rules such as keep-out zones and stress constraints, and how TSV parasitics…...

semiengineering.com
semiengineering.com > a-review-of-acoustic-side-channel-attacks-an-ai-view-penn-state-univ

A Review Of Acoustic Side-Channel Attacks: An AI View (Penn State Univ.)

1+ week, 15+ hour ago   (158+ words) A new technical paper titled "A Survey on Acoustic Side-Channel Attacks: An Artificial Intelligence Perspective" was published by researchers at Penn State University. Abstract "Acoustic Side-Channel Attacks (ASCAs) exploit the sound produced by keyboards and other devices to infer sensitive…...

semiengineering.com
semiengineering.com > dl-atomistic-semi-empirical-pseudopotential-model-for-nanomaterials-uc-berkeley-lbnl-et-al

DL Atomistic Semi-Empirical Pseudopotential Model For Nanomaterials (UC Berkeley, LBNL et al.)

1+ week, 3+ day ago   (152+ words) A new technical paper titled "Deep-learning atomistic semi-empirical pseudopotential model for nanomaterials" was published by researchers at UC Berkeley, Lawrence Berkeley National Laboratory, Brown University, Fritz Haber Center for Molecular Dynamics and Institute of Chemistry, and The Hebrew University of…...

semiengineering.com
semiengineering.com > study-of-hw-acceleration-for-neural-networks-arizona-state-univ

Study Of HW Acceleration for Neural Networks (Arizona State Univ.)

1+ week, 4+ day ago   (356+ words) A new technical paper titled "Hardware Acceleration for Neural Networks: A Comprehensive Survey" was published by researchers at Arizona State University. Abstract "Neural networks have become a dominant computational workload across cloud and edge platforms, but their rapid growth in…...

semiengineering.com
semiengineering.com > scalable-ai-ml-method-for-improved-mtj-performance-ut-austin-tsmc-tdk-headway

Scalable AI/ML Method For Improved MTJ Performance (UT Austin, TSMC, TDK Headway)

1+ week, 4+ day ago   (377+ words) A new technical paper titled "LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions" was published by researchers at University of Texas at Austin, TSMC, and TDK Headway Technologies…...

semiengineering.com
semiengineering.com > reliability-extension-architecture-for-cost-effective-hbm-rpi-scaleflux-ibm-tj-watson

Reliability Extension Architecture For Cost-Effective HBM (RPI, ScaleFlux, IBM TJ Watson)

1+ week, 5+ day ago   (473+ words) A new technical paper titled "Making Strong Error-Correcting Codes Work Effectively for HBM in AI Inference" was published by researchers at Rensselaer Polytechnic Institute, ScaleFlux and IBM T.J. Watson Research Center. Abstract "LLM inference is increasingly memory bound, and HBM cost…...

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