About

The TEMPO project develops neuromorphic technologies & hardware, inspired by biological neural architectures, to boost local data processing capability in edge AI devices. TEMPO broadens the applicability and strengthens the European ecosystem of integrated neuromorphic hardware.

This project accelerates the edge processing adoption in different application domains through a broad range of reference demonstrators.

These demonstrators validate the benefits and superior characteristics of the integrated neuromorphic technologies developed in the TEMPO project.

Concept and approach

The TEMPO project is based on collaborative research between world-leading research centres, large and small industrial enterprises, and universities.

research team imec

As a strong team, the project focuses on the following topics:

Emerging technologies

  • Define emerging technology platforms
  • Enable development through foundries
  • Infrastructure alignment for wafer exchange

Technology, architecture and design

  • Design enablement
  • Power-performance-area optimization

Algorithms and applications

  • Identification of critical neuromorphic workload
  • Application-driven DNN & SNN optimization
  • Leverage technologies in application demonstrators

Facts & figures

45months


Duration

35million


Budget

18


Partners

5


Countries

2019May


Start

2023January


End

Application areas

Neuromorphic hardware technologies will be applicable in a broad range of use cases and applications. The project’s proof of concepts demonstrate the developed technologies over 4 application areas.

health

Health

digital industry

Digital industry

Automotive

Automotive

Digital life

Digital life

TEMPO brings Europe in pole position to address the neuromorphic market by strengthening the entire value chain in Europe.

Demonstrators

X-Ray image denoising

X-ray image denoising

https://bitcoin.org

Medical X-ray image denoising, increasing OR efficiency with improved imaging

Real-time nutrition assessment

Real-time nutrition assessment

Real-time nutrition assessment to obtain the caloric contents and nutritional values from food plate images

Human movement data analysis

Human movement data analysis

Highly accurate AI-based automated runner footwear recommendation

Keyword spotting

Keyword spotting

Spotting keywords in speech, enabling next-gen voice-controlled virtual assistance

Vibration monitoring

Vibration monitoring

Spiking neural network circuits implemented in hardware with always-on learning mechanisms

Lidar-based object detection

Lidar-based object detection

Surround sensing for automotive, with enhanced energy efficiency, computing speed and smaller footprint

Video-based object detection

Video-based object detection

Object detection through versatile and flexible in-memory processing

Sound event monitoring

Sound event monitoring

Sound localization through versatile and flexible in-memory processing

Radar-based object localization

Radar-based object localization

Improved localization with radar to obtain enhanced angular positioning without increasing the number of antennas

Gesture recognition

Gesture recognition

Gesture recognition at the edge, enabling intuitive & natural human-machine interaction

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You can find the official descriptions and main outcomes of the TEMPO project on CORDIS, the project communication platform of the European Commission.

View TEMPO on CORDIS