Author's Latest Posts


Doping-Dependent Charge Trapping in WS2 FETs (KU Leuven, imec, TU Wien)


A new technical paper titled "Impact of doping and channel inhomogeneities on the stability of industrially fabricated WS2 FETs" was published by researchers at KU Leuven, imec and TU Wien. Abstract "We report doping-dependent charge trapping in WS2 field-effect transistors fabricated on a 300 mm wafer. In particular, higher n-type doping–associated with smaller channel areas–correlat... » read more

Minimizing Optical Loss While Enabling Efficient Phase Modulation in TMD-Based Devices (Nanyang Technological Univ., et al.)


A new technical paper titled "Hybrid tungsten oxyselenide/graphene electrodes for near-lossless 2D semiconductor phase modulators" was published by researchers at Nanyang Technological University, CNRS-International-NTU-Thales Research Alliance (CINTRA), University of Chicago, University of Wisconsin-Madison, Chungnam National University, National Institute for Materials Science, MIT, and Singa... » read more

Performant Side-Channel Resistant RISC-V Core to Secure Neural Network Inference (Northeastern Univ.)


A new technical paper titled "PermuteV: A Performant Side-channel-Resistant RISC-V Core Securing Edge AI Inference" was published by researchers at Northeastern University. Abstract "Edge AI inference is becoming prevalent thanks to the emergence of small yet high-performance microprocessors. This shift from cloud to edge processing brings several benefits in terms of energy savings, impr... » read more

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


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 strong classical systems still miss rare or borderline attacks when the data distribution drifts. Small, near-... » read more

Four Architectural Opportunities for LLM Inference Hardware (Google)


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 from training. Exacerbated by recent AI trends, the primary challenges are memory and in... » read more

Aging Aware Steepening Metric for the Fault Coverage of a Test Set (Purdue Univ.)


A new technical paper titled "Aging Aware Steepening of the Fault Coverage Curve of a Scan Based Transition Fault Test Set" was published by researchers at Purdue University. Abstract "Chip aging may result in hardware defects whose likelihood of occurrence depends on the layout and functional workload at the defect site. In-field testing is important for the detection of defects that occur... » read more

SiGeSn SBFETs at Cryogenic Temperatures (Tu Wien et al)


A new technical paper titled "A Cryogenic Ultra-Thin Body SiGeSn Transistor" was published by researchers at TU Wien, Johannes Kepler University, Universidad de Granada, and Max Planck Institute for Sustainable Materials. Abstract "Transistors capable of operating at cryogenic temperatures are key components for the fast and energy-efficient control and readout of qubits. However, the ultra... » read more

HW-Accelerated Physical AI Framework For Resource-Constrained Edge Devices (ASU)


A new technical paper titled "Enabling Physical AI at the Edge: Hardware-Accelerated Recovery of System Dynamics" was published by researchers at Arizona State University. Abstract "Physical AI at the edge—enabling autonomous systems to understand and predict real-world dynamics in realtime—demands efficient hardware acceleration. Model recovery (MR), which extracts governing equations ... » read more

Sparse Finite Element Problems on Neuromorphic HW (Sandia National Lab)


A new technical paper titled "Solving sparse finite element problems on neuromorphic hardware" was published by researchers at Sandia National Lab. Abstract "The finite element method (FEM) is one of the most important and ubiquitous numerical methods for solving partial differential equations (PDEs) on computers for scientific and engineering discovery. Applying the FEM to larger and mor... » read more

Thermal-Mechanical Optimization of 2.5D Flip-Chip Packages With Glass and Silicon Interposers (Univ. of Ottawa)


A new technical paper titled "Thermo-mechanical co-design of 2.5D flip-chip packages with silicon and glass interposers via finite element analysis and machine learning" was published by researchers at University of Ottawa. Abstract "Advanced 2.5D flip-chip packages with silicon/glass interposers may pose tightly coupled thermo-mechanical trade-offs. This work presents a simulation-driven, ... » read more

← Older posts Newer posts →