Software-Defined Number Formats: Bridging the Gap between Performance, Accuracy, and Security

Project description

Driving specialisation of computing devices with software-defined number formats

The Internet of things (IoT) presents a proliferation of computing devices with a wide variety of functionalities: data sensing, data analytics and inference of machine-learned models. These devices implement agreed-upon rules to encode numbers in hardware. However, the dramatic shift of applications fuelled by IoT poses rapidly changing requirements on number formats. The EU-funded SoftNum project will explore how to make number formats software-defined, enabling a multitude of novel applications. This will make it possible to design a data-sensing device that pre-processes data streams at the minimal precision possible to minimise energy consumption, embed a watermark to prove ownership and origin of the data, and achieve the required application-level accuracy.

Fields of science

• natural sciences › computer and information sciences › internet › internet of things
• natural sciences › computer and information sciences › software › software applications › system software
• natural sciences › mathematics › pure mathematics › arithmetics
• social sciences › law

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2020 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2020

See other projects for this call

Funding Scheme

MSCA-IF-EF-ST - Standard EF

Coordinator

THE QUEEN'S UNIVERSITY OF BELFAST

Net EU contribution

€ 224 933,76

Address

University Road Lanyon Building
BT7 1NN Belfast
United Kingdom

Region

Northern Ireland › Northern Ireland › Belfast

Activity type

Higher or Secondary Education Establishments

Links

Other funding

€ 0,00