Running Efficiently CNNs on the Edge Thanks to Hybrid SRAM-RRAM In-Memory Computing

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Running Efficiently CNNs on the Edge Thanks to Hybrid SRAM-RRAM In-Memory Computing

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Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Osmosis-driven stiffening of structured hydrogels

Monitoring an Emergent Pathogen at Low Incidence in Wastewater Using qPCR: Mpox in Switzerland

Random matrix methods for high-dimensional machine learning models

Verification of the Fourier-enhanced 3D finite element Poisson solver of the gyrokinetic full-f code PICLS

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Secure Interface Design Leveraging Hardware/Software Support

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

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Aggregating Spatial and Photometric Context for Photometric Stereo

Safe Deep Neural Networks

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Deep Learning Theory Through the Lens of Diagonal Linear Networks

EdgeAI-Aware Design of In-Memory Computing Architectures

Residual-based attention in physics-informed neural networks

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

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

On the number of regions of piecewise linear neural networks