Intelligent RF System for Ultra Low Power Spectrum Sensing with Machine Learning

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Intelligent RF System for Ultra Low Power Spectrum Sensing with Machine Learning

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Preface: Advancing deep learning for remote sensing time series data analysis

Split weight distribution learning for binary neural networks exploiting nano-memristive graphene/sumanene/graphene devices

A gentle introduction to gradient-based optimization and variational inequalities for machine learning

What can be learnt with wide convolutional neural networks?

Integrated Wireless Power, Data Communication, and Thermal Sensing System for Autonomous Multisite Brain Implants

Collective relational inference for learning heterogeneous interactions

SzCORE: Seizure Community Open-Source Research Evaluation framework for the validation of electroencephalography-based automated seizure detection algorithms

A modular multiple frequency inductive link to wirelessly power multiple miniaturized implants

Highly Parallel RTL Simulation

Scalable constrained optimization

The 2024 Magnonics Roadmap

Emulating Multimemristive Behavior of Silicon Nanowire-Based Biosensors by Using CMOS-Based Implementations

Is the powersave governor really saving power?

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Contemporary Logic Synthesis: with an Application to AQFP Circuit Optimization

Exploring brain-inspired multi-core heterogeneous hardware templates for low-power biomedical embedded systems

Building Chips Faster: Hardware-Compiler Co-Design for Accelerated RTL Simulation

Three-wave-mixing quantum-limited kinetic inductance parametric amplifier operating at 6 T near 1 K

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning

Graph generative deep learning models with an application to circuit topologies