Opendata, web and dolomites

SIAM SIGNED

Scaling Up Innovation through Analogy Mining

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 SIAM project word cloud

Explore the words cloud of the SIAM project. It provides you a very rough idea of what is the project "SIAM" about.

suggest    philosopher    intelligence    principled    online    speculate    components    little    tackle    opportunity    techniques    phenomenon    scientists    papers    describes    grail    discovering    keywords    unstructured    imbuing    unprecedented    status    pipeline    aircraft    revolutionize    ai    core    analogs    cardboard    breakthroughs    chrysippus    ideas    coupled    automating    metrics    transfer    accelerate    data    points    maintained    artificial    indicate    analogical    patents    holy    settings    head    made    changing    science    original    structural    brothers    inventors    enabled    variety    steerable    creates    innovation    algorithms    multiple    machine    starting    analogies    crowdsourcing    wright    analogy    feasibility    scientific    wave    roles    preliminary    despite    abstraction    datasets    retrieve    tools    play    natural    language    deep    learning    commonsense    domain    automatically    serve    box    sound    discovered    demonstrates    led    representations    world    longstanding    allowed    progress    explosion    observing    discovery    content    explores    twisting    greek    guiding    similarity    water   

Project "SIAM" data sheet

The following table provides information about the project.

Coordinator
THE HEBREW UNIVERSITY OF JERUSALEM 

Organization address
address: EDMOND J SAFRA CAMPUS GIVAT RAM
city: JERUSALEM
postcode: 91904
website: www.huji.ac.il

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Israel [IL]
 Total cost 1˙373˙057 €
 EC max contribution 1˙373˙057 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-STG
 Funding Scheme ERC-STG
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2024-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE HEBREW UNIVERSITY OF JERUSALEM IL (JERUSALEM) coordinator 1˙373˙057.00

Map

 Project objective

'Many world-changing breakthroughs in science and technology were enabled by analogical transfer, as ideas from one domain were used to solve a problem in another. Observing water led the Greek philosopher Chrysippus to speculate that sound was a wave phenomenon; an analogy to twisting a cardboard box allowed the Wright brothers to design a steerable aircraft. Despite its value for innovation, very little progress has been made towards automating the process of analogy-finding in real-world settings, and the problem has maintained a longstanding status as a 'holy grail' in artificial intelligence (AI).

The goal of this proposal is to tackle head-on this important problem and develop principled tools for automatically discovering analogies in large, unstructured, natural-language datasets such as patents and scientific papers. Such tools could revolutionize a variety of fields, allowing scientists and inventors to retrieve useful content based on deep structural similarity rather than simple keywords. The explosion of data available online, coupled with novel machine learning and crowdsourcing techniques, creates an unprecedented opportunity to develop novel methods to accelerate innovation and discovery.

My approach explores the multiple roles AI and machine learning can play in the analogical innovation pipeline. This research will focus on the three core components of the pipeline -- (1) developing representations and similarity metrics to facilitate comparison between potential analogs, (2) imbuing the algorithms with commonsense knowledge and abstraction capabilities, and (3) guiding the adaptation of the discovered analogies to solve the original problem. For each component, the proposal demonstrates how recent advances suggest effective approaches, and describes our concrete preliminary results and ideas to serve as starting points and indicate the feasibility of this challenging project.'

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The information about "SIAM" are provided by the European Opendata Portal: CORDIS opendata.

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