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SIAM SIGNED

Scaling Up Innovation through Analogy Mining

Total Cost €

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EC-Contrib. €

0

Partnership

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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.

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

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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