Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference

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Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference

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EdgeAI-Aware Design of In-Memory Computing Architectures

Machine learning-enabled estimation of cardiac output from peripheral waveforms is independent of blood pressure measurement location in an in silico population

Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures

Highly Parallel RTL Simulation

Diffusion Stochastic Optimization for Min-Max Problems

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

Edge-Cloud Collaborated Object Detection via Bandwidth Adaptive Difficult-Case Discriminator

Secure Interface Design Leveraging Hardware/Software Support

Application of Deep Learning and Geospatial Analysis in Soil Loss Risk in the Moulouya Watershed, Morocco

High-Throughput and Flexible Belief Propagation List Decoder for Polar Codes

Retrieval of Surface Solar Radiation through Implicit Albedo Recovery from Temporal Context

Swift : a modern highly parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications

Adapting Fine-Grained Cross-View Localization to Areas Without Fine Ground Truth

Neural Garment Modeling

X-Attack 2.0: The Risk of Power Wasters and Satisfiability Don’t-Care Hardware Trojans to Shared Cloud FPGAs

Machine Learning Applications to Conditional Asset Pricing: Attention, CNNs, and Neural Tangent Kernels

A Study on Quantum Graph Neural Networks Applied to Molecular Physics

Towards Scalable Electronics: Synthetic 2D Materials for Large-Area 2D Circuit Integration

Optimal Byzantine Agreement with Little Cryptography

The time-domain Cartesian multipole expansion of electromagnetic fields