2. Link to Paper
2-5 person card game
Collaborative Solitaire
Develop collaboration and intuition for AIs
Challenge:
- Learning to infer actions based on
someone’s behavior
- Establishing ‘conventions’ on the go
Research at the intersection of:
- Reinforcement Learning
- Game theory
- Emergent communication
- Theory of mind
4. Link to Paper
‘The burden of knowledge’
- Ben Jones - Northwestern University Economist
‘The low hanging fruits of innovation have been picked’
- Robert Gordon - Northwestern University Economist
5.
6.
7. - R&D is becoming increasingly complex
- R&D is becoming more and more expensive
- Researchers are becoming more specialised
- It takes researchers longer to reach their peak productivity
- Longer R&D cycles
- Less investments (VC cycles)
- Slows progress
8. - R&D is becoming increasingly complex
- R&D is becoming more and more expensive
- Researchers are becoming more specialised
- It takes researchers longer to reach their peak productivity
- Longer R&D cycles
- Less investments (VC cycles)
- Slows progress
- No investment in developing new materials
11. Design of the natural language processing
information extraction model.
The LSTM model then generated the structured
records in a query–answer format.
This schematic illustrates the process using the
free-text ‘lesion in the upper left lobe of patient’s
lung’ as an example.
Learn more about LSTM models
12.
13. FOCUS:
Precision:
Answers the question: Of all of the patients labeled as
“ill”, how many actually were “ill”
Recall:
Answers the question: Of all the patients that were “ill”,
how many did we label as such
F1-Score
Weighted average of Precision and Recall
14. Link to article
- Implemented in 30 counties and cities
- 1% of total administrative area
- Identified 8,721 corruption cases
- System can access more than 150
protected databases for cross-reference
Detect unsual
increases in
bank savings
If suspicion raised:
calculates the
chances of the
action being
corrupt
Alert
authorities
15. “It has started understanding
the meanings of and the
usages of abstraction,”
“For example, it will put an
arrow when it wants to show,
let’s say, a state change. If
the phrase is ‘ice melting,’ it
will show ice with an arrow
and water — which is a state
change.”
16. Implemented by the Allen
Institute for Artificial
Intelligence
Objective: Learning from new
interactions rather than
becoming the best at the
game
Teaching Common Sense AI
Link to article Play the game!
17. 4 Trends which show a need for novel hardware
● High power for large machine learning systems
● Training already designed models
● Running neural nets in data servers (rank search, rank newsfeed)
● Embedded devices / IoT: Low power - Low cost
Novel uses: Sparse Activation
High compute power but low power consumption: mimic the brain
Takeaway:
The type of hardware influences the type of research we do
Link to article + full video interview
18. Link to paper Link to article
Potential Future Applications:
Unsupervised translation between languages
Better speech recognition systems
AI writing assistants
Zero-shot capabilities for
- Summarisation
- Reading Comprehension (CoQa)
- Translation
- Question Answering
Malicious intent:
Automate the production of phishing/spam
Generate misleading news articles
2 major achievements:
A new more efficient data set
(better than Common Crawl)
22. - collecting data from November 13th to December 19th, 2018, in French, from all over the world. Public data analyzed include
11,510,953 results from 1,053,427 authors that created 538,269 different conversations across social and digital media
platforms such as Twitter, Facebook, YouTube, Instagram, blogs, forums, and other digital communities
Link to Research
23.
24. Link to article
Adam Millard Ball
Environmental Studies Department
University of California, Santa Cruz
Link to video