Federico Corradi

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Eindhoven University of Technology

Netherlands

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Recent Grants

Grant: Close

Memory technologies with multi-scale time constants for neuromorphic architectures (MeM-Scales)

Open Date: 2020-01-01

Close Date: 2022-12-01

Grant: Close

Framework of key enabling technologies for safe and autonomous drones’ applications (COMP4DRONES)

Open Date: 2019-10-01

Close Date: 2022-09-01

Grant: Close

Efficient Deep Learning

Open Date: 2017-09-01

Close Date: 2021-09-01

Grant: Close

NEUral computing aRchitectures in Advanced Monolithic 3D-VLSI nano-technologies

Open Date: 2016-01-01

Close Date: 2019-06-01

Articles (16)

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2025

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2021

Collaborators (12)

Paul Detterer

Imec the Netherlands

NETHERLANDS

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Maryam Sadeghi

Aarhus University

DENMARK

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Marc Geilen

Dr. at Eindhoven University of Technology

Eindhoven University of Technology

NETHERLANDS

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Bojian Yin

Eindhoven University of Technology

NETHERLANDS

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Anup Das

Assistant Professor

Drexel University

UNITED STATES

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Sander Stuijk

Eindhoven University of Technology

NETHERLANDS

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Geert Langereis

Eindhoven University of Technology

NETHERLANDS

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Manil Dev Gomony

Eindhoven University of Technology

NETHERLANDS

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Denis Kleyko

University of California, Berkeley

UNITED STATES

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Henk Corporaal

Professor Embedded System Architectures

Eindhoven University of Technology

NETHERLANDS

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Barry de Bruin

Eindhoven University of Technology

NETHERLANDS

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Pieter Harpe

Associate Professor

Eindhoven University of Technology

NETHERLANDS

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Federico Corradi

Research Interests

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Contact this professor

Recent Grants

Articles (16)

Hardware/Software Co-Design Optimization for Training Recurrent Neural Networks at the Edge

Synthetic biology meets neuromorphic computing: towards a bio-inspired olfactory perception system

STEMS: Spatial-Temporal Mapping for Spiking Neural Networks

NEXUS: A 28nm 3.3pJ/SOP 16-Core Spiking Neural Network With a Diamond Topology for Real-Time Data Processing

The neurobench framework for benchmarking neuromorphic computing algorithms and systems

Unsupervised Classification of Spike Patterns with the Loihi Neuromorphic Processor

Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time

NeuroBench

Improving the Accuracy of Spiking Neural Networks for Radar Gesture Recognition Through Preprocessing

An Implantable Neuromorphic Sensing System Featuring Near-Sensor Computation and Send-on-Delta Transmission for Wireless Neural Sensing of Peripheral Nerves

CONVOLVE

Nonvolatile Memories in Spiking Neural Network Architectures: Current and Emerging Trends

Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time

Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing

Key technologies for safe and autonomous drones

Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks

Collaborators (12)

Paul Detterer

Maryam Sadeghi

Marc Geilen

Bojian Yin

Anup Das

Sander Stuijk

Geert Langereis

Manil Dev Gomony

Denis Kleyko

Henk Corporaal

Barry de Bruin

Pieter Harpe

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