ANYSCALE LEARNING FOR ALL
Scalable machine learning technology, evolutionary algorithms, and data science frameworks for large-scale knowledge mining, prediction, analytics, and optimization with projects in cyber security, MOOC technology, software analysis, and clinical medicine
Research Themes
| Artificial Adversarial Intelligence | MOOC Data Analytics | Clinical Medicine |
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Applications: Adversarial dynamics modeling, adversarial examples, adversarial hardening, malware detection and classification, automatic program analysis for vulnerabilities, deception, segmentation and peer to peer network defenses against DDOS, lateral stage and scanning attacks; artificial intelligence; MOOCs on computational thinking and programming, MOOC clickstream and activity data analysis with deep learning; Large scale physiological time series, EEG and other vital signals, leveraging deep learning and similarity-based retrieval.
| ALFA's research would not be possible without the past and ongoing support of our industry sponsors |
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| The views, opinions and positions expressed by ALFA Group and on this site are theirs alone, and do not necessarily reflect the views, opinions or positions of their sponsors |
ALFA Group is formerly the Evolutionary Design and Optimization Group
Recent News
2019
January
Artificial Adversarial Intelligence
Una-May O’Reilly
AAAI-19, 33rd AAAI Conference on Artificial Intelligence, Honolulu HI USA
2018
November
Computer Systems Arms Races
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Una-May O’Reilly Dalhousie University, Halifax Canada Keynote Speaker: The ACM Canadian Celebration of Women in Computing, Halifax Canada |
October
*Outstanding Poster Award: Machine Learning and Malware Arms Race
Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O'Reilly
2018 Horizons Colloquium, awarded on behalf of IBM Research
MIT-IBM Watson AI Lab Medium Article: Inaugural AI Research Week Highlights Collaboration and Future of AI
We welcome Carl Im, CEO, Solomon Strategic Consulting Limited, Seoul South Korea visiting to oberserve ALFA research
September
Data-driven bug Hunting - Tales from hunding down bugs in Ethereum's Solidity
Shashank Srikant
Systems That Learn @ CSAIL Annual Meeting, Cambridge MA USA
Towards Robust and Scalable Generative Adversarial Networks
Una-May O’Reilly
Systems That Learn @ CSAIL Annual Meeting, Cambridge MA USA
Computer Systems Arms Races
Una-May O’Reilly
Emtech MENA, Dubai UAE
Abdul Latif Jamell International, Dubai UAE
Parsons, Dubai UAE
We welcome a new group member, Jamal Toutouh, Post-doctoral Fellow from Universidad de Malaga, Spain
August
The Rise of Deep Learning
Una-May O’Reilly
Accenture, Webinar
July
Analyzing Educational Data With MOOC-Learner-Project
Erik Hemberg
Kawasaki Heavy Industries Ltd., Akashi City Japan
ASICS Corporation, Kobe Japan
Toshiba Corporation - Corporate Research & Development Center, Kanagawa Japan
Center for Information Technology (CITE), Hong Kong University, Hong Kong
LearnLab Summer School, Carnegie Mellon University, Pittsburgh PA USA
Proactive Cyber Security
Erik Hemberg
Hitachi Ltd., Yokohama Research Laboratory, Kanagawa Japan
Konica Minolta, Tokyo Japan
We welcome Yanbang Wang and Ignavier Ng, undergrad students from Hong Kong University of Science and Technology under the HKUST-MIT IROP exchange program
We welcome Gili Rusak, undergraduate from Stanford University and Joseph Ortiz, graduate student from Oxford for a summer research internships
June
STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing
Una-May O’Reilly
Fidelity Investments hosted by MIT Media Lab, Cambridge MA USA
Old News...
