Free-Space Gated Transistor In Wide Bandgap And Ultra Wide Bandgap Semiconductors (KAUST Et Al.)


A new technical paper titled "Lateral Semiconductor–Free-Space Gate Transistors" was published by researchers at KAUST and the Indian Institute of Technology. Abstract "We introduce a novel lateral transistor architecture, the semiconductor−free-space gate transistor (SFGT), in which the conventional solid dielectric is replaced by a semiconductor−free-space gate configuration with su... » read more

China GenAI: Who Will Fill The Vacuum?


China and the U.S.A are locked in a titanic battle over tariffs. The U.S. makes the world’s best AI Accelerators: Nvidia, AMD, Google, AWS …among others. But the U.S. worries China could deploy these for military purposes, so it imposed strict export controls that resulted in China getting the second-best AI accelerators. These export controls have been further tightened as part of tarif... » read more

Research Bits: Nov. 10


Post-doping plasma for DRAM capacitors Researchers from Ulsan National Institute of Science and Technology (UNIST), Pohang University of Science and Technology (POSTECH), and Seoul National University of Science and Technology developed a post-doping plasma (PDP) process to improve the performance of DRAM capacitors. Aluminum-doped titanium dioxide (Al-doped TiO2) is a promising material fo... » read more

Chip Industry Technical Paper Roundup: Nov. 10


New technical papers recently added to Semiconductor Engineering’s library: [table id=490 /] Find more semiconductor research papers here. » read more

Study of Compute Efficiency And Density Of 3 Photonic Computing Architectures (IBM et al.)


A new technical paper titled "A Case Study on the Performance Metrics of Integrated Photonic Computing" was published by researchers at IBM Research – Europe, University of Heidelberg and University of Münster. Abstract "Photonic processors use optical signals for computation, leveraging the high bandwidth and low loss of optical links. While many approaches have been proposed, including... » read more

Balancing Leakage Reduction with Correctness Preservation in RTL Code Generation (Univ. of Central Florida)


A new technical paper titled "CircuitGuard: Mitigating LLM Memorization in RTL Code Generation Against IP Leakage" was published by researchers at University of Central Florida. Abstract "Large Language Models (LLMs) have achieved remarkable success in generative tasks, including register-transfer level (RTL) hardware synthesis. However, their tendency to memorize training data poses critic... » read more

Algorithm–HW Co-Design Framework for Accelerating Attention in Large-Context Scenarios (Cornell)


A new technical paper titled "LongSight: Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention" was published by researchers at Cornell University. Abstract "Large input context windows in transformer-based LLMs help minimize hallucinations and improve output accuracy and personalization. However, as the context window grows, the attention phase increasingly dominates... » read more

Chip Industry Week in Review


SK hynix is ramping HBM manufacturing capacity to meet explosive demand for AI data centers. The company will launch 16-stack HBM4 next year, and up to 12-stack HBM4E. HBM5 and HBM5E will be introduced between 2029 and 2031, reports Business Korea. China will not have access to NVIDIA’s most advanced chips, President Trump told 60 Minutes. The Dutch economy minister said Nexperia's chip... » read more

Integrating Design Verification To Approach Zero Defects


As semiconductor applications in automotive, data center, and high-performance computing grow increasingly mission-critical, the industry faces mounting pressure to achieve near-perfect manufacturing test coverage—often exceeding 99%. Yet, meeting stringent zero-defect defective parts per million (DPPM) targets remains a formidable challenge. Traditional structural testing methods frequently ... » read more

Confidential Computing To Secure AI Workloads


Artificial Intelligence (AI), data analytics, and high-performance computing (HPC) are transforming industries such as healthcare, finance, and manufacturing. These workloads rely on distributed systems managing massive datasets with high reliability. As computational demand grows, so does the need for end-to-end data protection. Traditional security addresses Data at Rest (DAR) and Data in ... » read more

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