AI and Data, for Good
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A talk, given as part of the FIU CIS invited lecture series, on various and select InferLink Corp R&D and commercialization works in AI and data driven solutions.
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AI and Data, for Good
- 1. AI and Data, for Good Naveen Ashish InferLink Corporation March 28th, 2019 Florida International University (FIU) , Computing & Information Sciences Lecture
- 2. InferLink • Founded 2011 • Post Fetch Technologies • Roots in USC/ISI • R&D, Tools, Solutions, Spin-offs
- 4. Talk Organization R&D Tools Solutions Active Search Complex Information Linkage (for law enforcement) RSX Spin-offs MachineReading AutoScience Evid Science OpenAI AI Resources
- 6. ActiveSearch: Background • ISS Example: Find recent documents mentioning Canada and Islamist Extremist Groups (e.g., Report Desk documents) • AFIA Example: Find Russian aircraft mentioned in Central Africa (e.g., on Jetphotos.com) • Cyber Intelligence example: Find reports of web browsers with cross-site scripting vulnerabilities • ISS TopicBuilder example: Find articles on “Al-Qaeda in the Arabian Peninsula” (“Ansar al-Sharia”) • information retrieval : broad coverage, too general, no notion of entities, relations, events, etc. • information extraction : notion of entities and concepts, but too specific, needs customization, hard failures
- 7. ActiveSearch • A research engine • Not one-size-fits-all (Google) • Take advantage of current natural language technology • Plug and play • Works out-of-the-box • Immediate value, rapid response • Easy to customize to a domain
- 8. ActiveSearch Project Multiple Extractors (Plug and Play) Stanford NER Term extractor Resolvers Entity Res (EntityBase) Concept Res (CP) Indexer Integrated Ontology Documents § NLP + Massive Ontology
- 9. Step 1: Better Keyphrase Search
- 13. Concept completion Generalization / Specialization
- 14. Superfacets Mixed queries Integration with ISS topic builder
- 15. ActiveSearch Use Case: Cytenna • Analysts want to identify patterns in the vulnerabilities and exploits • What type of software is being exploited? • Web servers, browsers, operating systems, etc. • What types of attacks are being committed? • Denial of service, buffer overflow, XSS, etc. • More powerful search technologies are needed to collect the data for pattern analysis “ransomware” as a concept
- 16. DHS Application: Dataset Search
- 17. Complex Information Linkage Missing persons search Human trafficking prevention Preventing unlawful weapon sales
- 18. 1,973 “James Rodriguez” in California People Search
- 19. Find sellers who don’t require paperwork or a federal firearms license
- 21. Profits per Year: $32 Billion Average Age of Entry To Prostitution in the US: 14 PIMP’s Profit Per Victim Per Year: $150,000 Advertising Budget On the Web: $45 Million Human Trafficking in the US Find the locations where a potential victim of human trafficking was advertised
- 22. San Diego, where else?
- 23. Understand Page Content Find the locations where a potential victim of human trafficking was advertised
- 26. Multiple Aspects to Solution
- 28. “YOU don't wanna miss out on ME :) Perfect lil booty Green eyes Long curly black hair Im a Irish,Armenian and Filipino mixed princess :) ❤ Kim ❤ 7○7~7two7~7four77 ❤ HH 80 roses ❤ Hour 120 roses ❤ 15 mins 60 roses” Text Extraction name: Kim eye-color: green hair-color: black phone: 707-727-7477 rate: $60/15min $80/30min $120/60min
- 29. Connect Graphs on Strong Attributes
- 30. Connecting Nodes Using All Attributes
- 31. Connecting Nodes Using All Attributes same victims same Trafficker
- 32. Connecting Nodes Using All Attributes same victims same Trafficker Approach: K-Partite Graph Co-Clustering
- 34. One Index Per Main Class
- 35. Offers As Roots
- 36. Adult Service As Roots
- 37. Deployed to Law Enforcement: Connect the Dots Mary Lucy 222-0000 777-0000 Police Database Bad Guy: 777-0000
- 38. RSX
- 41. PRODUCT 10,000 papers published per day DATA SOURCES: JUST TO KEEP UP, ASSUMING 5 MINUTES/PAPER = 24 SCIENTISTS READING 24 HOURS PER DAY Example Congress Abstracts: Volumes of Data … Per Day
- 42. PRODUCT Guselkumab was also superior (P < .001) to adalimumab for Investigator Global Assessment 0/1 and PASI 90 at week 16 (85.1% vs 65.9% and 73.3% vs 49.7%), week 24 (84.2% vs 61.7% and 80.2% vs 53.0%), and week 48 (80.5% vs 55.4% and 76.3% vs 47.9%). What do these refer to? To our AI, it looks like this… but, instantly (25,000,000 articles per hour) Intervention Outcome Measurment guselkumab Investigator Global Assessment 0/1 at week 48 80.5% adalimumab Investigator Global Assessment 0/1 at week 48 55.4% AI: Automated Reading
- 46. PRODUCT Machine Learning All Around
- 48. ActiveSearch for Medical Entities
- 49. AI for the Community
- 50. AI Community • Journal of Artificial Intelligence Research • https://jair.org • AI Access • AI Resources
- 51. We did not cover :) R&D Tools Solutions Active Search Complex Information Linkage RSX Spin-offs MachineReading AutoScience Evid Science OpenAI AI Resources EntityBase ConnectD OpenWatch CodeFault TBN
- 52. Active Interests in AI & Data Science • Health informatics and Biomedical research • Cybersecurity • Homeland security, emergency and disaster response • Data driven engineering design • Precision agriculture, E-Governance • Transportation safety • ….
- 53. Acknowledgements • Dr. Steven Minton, President and CEO InferLink • Dr. Greg Barish, CTO InferLink & CEO Cytenna • Dr. Matt Michelson, CEO Evid Science • Dr. Pedro Szekely, Research Associate Professor USC/ISI