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Applied Research in AI and Machine LearningDeclan McKibben, @mckibben23
Head of Design & Innovation, ADAPT Centre at Trinity College Dublin
ADAPT Centre for Digital Content Technology Research
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• SFI funded Research Centre from Jan 2015,
• SFI and industry funding of €49M over 6 years
• 29 academics across TCD, DCU, DIT, UCD
• Wholly or part funded industry‐collaborative research
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ADAPT Vision
Our vision is to be a world‐renowned centre for research in digital content technology:
a hub of expertise that supports collaborative innovation to
unlock the potential of all digital content,
empower and enhance engagement online between people,
and promote creativity, competitiveness, and entrepreneurship for Ireland.
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ADAPT Platform Research
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Platform: Core research under 5 Themes
Staff: 71 FTE, 87 headcount (47 PhD)
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ADAPT Collaborative Research
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Spokes: Targeted Project under 5 Spokes
Staff: 36 FTE, 40 headcount (2 PhDs)
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Global Content Drives the Digital Economy
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ADAPT Value Proposition
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Design & Innovation
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18 Targeted Projects
with 15 Industry Partners in 2017
16 Team Members
Research Engineers, Designers, Program
managers, architect & system admin
Agile S/W Dev MethodsDeutsche Bank 12 weeks project
Program Management
Definition and execution of TPs.
A bit about AI
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Popular Conceptions of AI
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Overview of Data‐Driven AI
• Modern AI research focuses on using large datasets and machine learning to get the computer to learn the appropriate rules for a domain.
• The field of deep learning is very much at the core of this type of data driven/machine learning AI.
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Machine Learning
• Fundamentals of Machine Learning for Predictive Data Analytics
• Prof John Kelleher
• http://machinelearningbook.com/
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Data‐Driven Decisions
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• Using machine learning to induce a prediction model from a training set
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• Using the prediction model to make predictions for unseen queries
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Insurance
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Prerequisites
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Car insurance
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Life insurance
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CRISP‐DM
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Machine Learning to Deep Learning
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Neuron to Deep Learning
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Trends
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Trends
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http://mattturck.com/bigdata2018/
• AI Adoption• Data Breaches, Privacy, GDPR, “Citizen Score”, Cyber terrorism
• Computational biology, drug discovery, healthcare• Cloud and AI: Amazon, Google, Microsoft, IBM• Advances in speech recognition, language analysis and machine translation, image and action analysis
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• Autonomous Vehicles• Navigation, computer vision• Data centres and new processors• Increased AI spend (governments and
organisations)• Rapid inference on IOT (edge
computing: google, intel)• AI impact on society, governance,
surveillance, geopolitics and technological unemployment
• Health: diagnosis support• Retail
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Where to start. Tools & Languages
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kdnuggets.com
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ELECTION SENTIMENT ANALYSIS
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GENERATION OF PERSONALISED PRESENTATIONS
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Brite:Bill – Reducing customer churn
• Data driven and personalisedcustomer interaction
• Customer retention in first 90 days for telcos
• Machine learning successful modes, channels and timing for customer interactions
• Using Case Based Reasoning
• Handles concept drift
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Multi‐modal machine translation
• Online eCommerce platform
• Machine Translation of product
titles is essential
• Can images help MT models translate product titles better
• Can we exploit large, text only MT corpora and deliver state of the art
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Multilingual SEO
• Improving global discoverability through better website keywords
• Deep learning for word‐embedding and topic clustering
• For keyword planning and for authoring in the target language
• Words of a feature flock together
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Multilingual Customer Feedback Analysis
• Analysis of high scale multilingual customer
feedback for improvement of products and
services
• An automatic system that categorises customer
feedback into actionable insight
• A benchmark task for multilingual customer
feedback classification systems
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Next generation recommendation
• Resistant to extreme cold‐start contexts.
• Exploits all the data that is available about users.
• Generates personalised recommendations for hotel booking
• Gets better with more data
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System to detect and replace Ads in Videos
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Fintech
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ADAPT Fintech Spoke
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ADAPT Fintech Spoke launch partners
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Supporting Community Interest in AI
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ML Dublin Benefits
Meetup events are bottom‐up, informal, community forums
• Novel channels for university research outputs dissemination
• Opportunities for networking
• Knowledge sharing
• Knowledge and expertise development
• Commercial and collaboration opportunities
• Recruitment opportunities
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Machine Learning Dublin Meetup
• Meetup started in January 2016
• Monthly event
• Normally sponsored/hosted
• Very popular, almost viral
• Huge engagement from industry for attendance and presenting.
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4,600members
30+events
3,000attendees
40 industry45 university
presenters
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Machine Learning Dublin Meetup
Industry Engagement• Support readily available• Hosting, speakers• Recruitment, positioning
Topics• Health, genomics
• Text, Language, Translation
• Tools, techniques, practice
• Fintech, fraud analytics
• Computer vision
• Speech
• Digital Humanities
• Recommender systems
• Data visualisation
• Ethics
• Search
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Thank you
Get in touch:
www.adaptcentre.ie
@mckibben23
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