Optimizing Oxide Interfaces To Preserve Device Performance in TMDC-based Transistors (imec, ETH Zurich)


A new technical paper, "Oxide induced degradation in MoS2 field-effect transistors," was published by researchers at imec and ETH Zurich. Abstract excerpt "Transition Metal Dichalcogenides (TMDC) are promising candidates for future scaled transistor channels but their performance is often degraded by imperfections such as the interface with amorphous gate oxides. This study examines how amo... » read more

3D DRAM with CBA Technology (Georgia Tech)


A new technical paper, "System-Technology Co-Optimization of Bitline Routing and Bonding Pathways in Monolithic 3D DRAM Architectures," was published by researchers at Georgia Tech. Abstract "3D DRAM has emerged as a promising approach for continued density scaling, but its viability is limited by routing and hybrid bonding constraints to periphery, which may degrade sensing margin, laten... » read more

Systematic Training and Validation of AI-based Systems With Digital Twins and Scenario Engineering


A new technical paper, "Towards Structured Training and Validation of AI-based Systems with Digital Twin Scenarios," was published by researchers at RWTH Aachen University and RIF e.V. Abstract "Artificial intelligence (AI) has emerged as a pivotal technology for autonomous systems across various domains, but quality assurance remains challenging due to limited training data and inadequate ... » read more

Pathfinding Method That Models ECC Overhead for Chiplet Interconnects (UCLA)


A new technical paper, "Link Quality Aware Pathfinding for Chiplet Interconnects," was published by researchers at UCLA. Abstract "As chiplet-based integration advances, designers must select among short-reach die-to-die interconnect technologies with widely varying shoreline and areal bandwidth density, energy per bit, reach, and raw bit error rate (BER). Meeting stringent delivered BER ... » read more

Neuromorphic Computing Platform In Perovskite Nickelates (UCSD, Rutgers)


A new technical paper, "Protonic nickelate device networks for spatiotemporal neuromorphic computing," was published by researcher at UCSD and Rutgers University. Abstract "Computation in biological neural circuits arises from the interplay of nonlinear temporal responses and spatially distributed dynamic network interactions. Replicating this richness in hardware has remained challenging... » read more

FeFETs With Laminated Gate Stacks For Radiation Resilience in Vertical NAND (Georgia Tech)


A new technical paper, "Enabling Radiation Hardness in Solid-State NAND Storage Utilizing a Laminated Ferroelectric Stack," was published by researchers at Georgia Tech. Abstract "NAND flash forms the core of modern solid-state storage, which is critical for data-intensive AI applications, yet charge-trap NAND suffers rapid threshold-voltage (Vth) degradation under ionizing radiation, causi... » read more

Wafer-on-Wafer Hybrid Bonding: Reticle Placements To Achieve Efficient NW Topologies (ETH Zurich)


Researchers from ETH Zurich published the new technical paper "Network Design for Wafer-Scale Systems with Wafer-on-Wafer Hybrid Bonding." Abstract "Transformer-based large language models are increasingly constrained by data movement as communication bandwidth drops sharply beyond the chip boundary. Wafer-scale integration using wafer-on-wafer hybrid bonding alleviates this limitation by p... » read more

A Framework That Generates Chip Layouts Directly From Natural Language Specifications (U. of Bristol, RAL)


A new technical paper, "NL2GDS: LLM-aided interface for Open Source Chip Design," was published by researchers at University of Bristol and Rutherford Appleton Laboratory. Abstract "The growing complexity of hardware design and the widening gap between high-level specifications and register-transfer level (RTL) implementation hinder rapid prototyping and system design. We introduce NL2GDS (... » read more

Unified, Traceable Framework For Risk Assessment in Automotive Semiconductors (Robert Bosch)


A new technical paper, "An Integrated Failure and Threat Mode and Effect Analysis (FTMEA) Framework with Quantified Cross-Domain Correlation Factors for Automotive Semiconductors," was published by researchers at Robert Bosch GmbH. Abstract "The automotive industry faces increasing challenges in ensuring both functional safety (FuSa) and cybersecurity for complex semiconductor devices. Tr... » read more

10-Year Roadmap for AI + Hardware (UIUC, UCLA, Stanford et al.)


Researchers from University of Illinois Urbana-Champaign, UCLA, Stanford University, Nvidia, Google, et al. have released “AI+HW 2035: Shaping the Next Decade”. Abstract “Artificial intelligence (AI) and hardware (HW) are advancing at unprecedented rates, yet their trajectories have become inseparably intertwined. The global research community lacks a cohesive, long-term vision t... » read more

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