AI Research

On this page we intend to highlight some Machine Intelligence research related resources that are relevant for those interested to stay abreast of the latest development in this field. See the following resources as a starting point:

  • Future of Machine Intelligence, Perspectives from leading Practitioners
  • Deep Learning Research Groups – see Deep Learning Research Groups
  • Machine Intelligence Conferences focusing on machine leanring and pattern recognition
  • Machine Intelligence Journals
  • Data Science Journals, Publications and Magazines
  • Leading organizations from an academic publications’ perspective (from a machine intelligence perspective)

If you know of any other research material that we should share or highlight for the rest of the community on the MIIA website or via our real-time messaging platform (MIIA on Slack), please let us know either on Slack or via   

The Future of Machine Intelligence

Perspectives from Leading Practitioners

By David BeyerPublisher: O’ReillyReleased: March 2016

Advances in both theory and practice are throwing the promise of machine learning into sharp relief. The field has the potential to transform a range of industries, from self-driving cars to intelligent business applications. Yet machine learning is so complex and wide-ranging that even its definition can change from one person to the next.

The series of interviews in this exclusive report unpack concepts and innovations that represent the frontiers of ever-smarter machines. You’ll get a rare glimpse into this exciting field through the eyes of some of its leading minds.

In these interviews, these ten practitioners and theoreticians cover the following topics:

  • Anima Anandkumar: high-dimensional problems and non-convex optimization
  • Yoshua Bengio: Natural Language Processing and deep learning
  • Brendan Frey: deep learning meets genomic medicine
  • Risto Miikkulainen: the startling creativity of evolutionary algorithms
  • Ben Recht: a synthesis of machine learning and control theory
  • Daniela Rus: the autonomous car as a driving partner
  • Gurjeet Singh: using topology to uncover the shape of your data
  • Ilya Sutskever: the promise of unsupervised learning and attention models
  • Oriol Vinyals: sequence-to-sequence machine learning
  • Reza Zadeh: the evolution of machine learning and the role of Spark

Deep Learning Research Groups

Some labs and research groups that are actively working on deep learning:

University of Toronto – Machine Learning Group (Geoffrey Hinton, Rich Zemel, Ruslan Salakhutdinov, Brendan Frey, Radford Neal)

Université de Montréal –  MILA Lab (Yoshua Bengio, Pascal Vincent, Aaron Courville, Roland Memisevic)

New York University – Yann LecunRob Fergus, David Sontag and Kyunghyun Cho

Stanford University – Andrew NgChristopher Manning‘s, Fei-fei Li‘s group

University of Oxford – Deep learning group,  Nando de Freitas and Phil Blunsom, Andrew Zisserman

Google Research – Jeff Dean, Geoffrey Hinton, Samy Bengio, Ilya Sutskever, Ian Goodfellow, Oriol Vinyals, Dumitru Erhan, Quoc Le et al

Google DeepMind – Alex Graves, Karol Gregor, Koray Kavukcuoglu, Andriy Mnih, Guillaume Desjardins, Xavier Glorot, Razvan Pascanu, Volodymyr Mnih et al

Facebook AI Research(FAIR) – Yann Lecun, Rob Fergus, Jason Weston, Antoine Bordes, Soumit Chintala, Leon Bouttou, Ronan Collobert, Yann Dauphin et al.

Twitter’s Deep Learning Group – Hugo Larochelle, Ryan Adams, Clement Farabet et al

Microsoft Research – Li Deng et al

SUPSI – IDSIA (Jurgen Schmidhuber‘s group)

UC Berkeley – Bruno Olshausen‘s group, Trevor Darrell‘s group, Pieter Abbeel

UCLA – Alan Yuille

University of Washington – Pedro Domingos‘ group

IDIAP Research Institute – Ronan Collobert‘s group

University of California Merced – Miguel A. Carreira-Perpinan‘s group

University of Helsinki – Aapo Hyvärinen‘s Neuroinformatics group

Université de Sherbrooke – Hugo Larochelle‘s group

University of Guelph – Graham Taylor‘s group

University of Michigan – Honglak Lee‘s group

Technical University of Berlin – Klaus-Robert Muller‘s group

Baidu – Kai Yu‘s and Andrew Ng’s group

Aalto University – Juha Karhunen and Tapani Raiko group

U. Amsterdam – Max Welling‘s group

CMU – Chris Dyer

U. California Irvine – Pierre Baldi‘s group

Ghent University – Benjamin Shrauwen‘s group

University of Tennessee – Itamar Arel‘s group

IBM Research – Brian Kingsbury et al

University of Bonn – Sven Behnke’s group

Gatsby Unit @ University College London – Maneesh Sahani, Peter Dayan

Computational Cognitive Neuroscience Lab @ University of Colorado Boulder

Machine Intelligence conferences  

NIPS – Neural Information Processing Systems
ICML – International Conference on Machine Learning
UAI – Uncertainty in Artificial Intelligence
IROS – International Conference on Intelligent RObots and Systems – IROS
ICPR – International Conference on Pattern Recognition
ISNN – International Symposium on Neural Networks
COLT – Computational Learning Theory
ECML – The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
ICDAR – International Conference on Document Analysis and Recognition
ICANN – Int. Conference on Artificial Neural Networks
ICA – Independent Component Analysis
DAGM Symposium Symposium for Pattern Recognition
DAS – Document Analysis Systems
ESANN – The European Symposium on Artificial Neural Networks
MCS – Multiple Classifier Systems
IJCNN – International Joint Conference on Neural Networks
ICONIP – International Conference on Neural Information Processing
SSPR – International Workshop on Structural and Syntactic Pattern Recognition
ICGI – International Colloquium on Grammatical Inference
IWANN – International Work-Conference on Artificial and NaturalNeural Networks
ICB – International Conference on Biometrics
EuroCOLT – European Conference on Computational Learning Theory
ICNC – International Conference on Natural Computation
ICMLC – Machine Learning and Cybernetics
ICBA – International Conference on Biometric Authentication
AUTOID – Automatic Identification Advanced Technologies
ICVGIP – Indian Conference on Computer Vision, Graphics & Image Processing
Support Vector Machines
ICCI(ieee) – International Conference on Cognitive Informatics
MLDM – Machine Learning and Data Mining in Pattern Recognition
ICAPR – Advances in Pattern Recognition
GBR – Graph Based Representations in Pattern Recognition
SAGA – Stochastic Algorithms
ICIC – International Conference on Intelligent Computing
Bildverarbeitung fur die Medizin
ICAISC – International Conference on Artificial Intelligence and Soft Computing
SBRN – Brazilian Symposium on Neural Networks
WEC – Enformatika Conferences
Reading and Learning
CIARP – Iberoamerican Congress on Pattern Recognition CIARP
PREMI – Pattern Recognition and Machine Intelligence
Pattern Recognition in Information Systems
CIDM – IEEE Symposium on Computational Intelligence and Data Mining
Summer School on Neural Networks
ML – Workshop on ML
IWCIA – International Workshop on Combinatorial Image Analysis
NC – ICSC Symposium on Neural Computation
ANNPR – Artificial Neural Networks in Pattern Recognition
Emergent Neural Computational Architectures Based on Neuroscience
EURASIP Workshop
Sequence Learning
ROCAI – ROC Analysis in Artificial Intelligence
ICETET – International Conference on Emerging Trends in Engineering & Technology
MLMTA – Machine Learning; Models, Technologies and Applications
Recent Issues in Pattern Analysis and Recognition
SINOBIOMETRICS – Chinese Conference on Biometric Recognition
AFSS – Asian Fuzzy System Society
WAPCV – Workshop on Attention and Performance in Computational Vision
HIP – Human Interactive Proofs
WIRN – Italian Workshop on Neural Neural Nets
ICCTA – International Conference on Computing: Theory and Applications
TAINN – Turkish Symposium on Artificial Intelligence and Neural Networks
IWBRS – Biometric Recognition Systems
MIRRORBOT – MirrorBot Project
DSMML – Deterministic and Statistical Methods in Machine Learning
BVAI – Brain, Vision, and Artificial Intelligence
NCI – Neural Networks and Computational Intelligence
ANNS – Artificial Neural Networks
LKR – Large-Scale Knowledge Resources
Knowledge Representation and Organization in Machine Learning
ESSMAC – European Summer School on Multi-Agent Control
SLSFS – Subspace, Latent Structure and Feature Selection
CORES – Computer Recognition Systems
NOLISP – Nonlinear Analyses and Algorithms for Speech Processing
SSPRA – Signal Processing, Pattern Recognition, and Applications
IWICPAS – International Workshop on Intelligent Computing in Pattern Analysis/Synthesis
ANNA – Analysis of Neural Network Applications
MLSS – Machine Learning Summer School
ASST – Aachener Symposium für Signaltheorie
TbiLLC – Tbilisi Symposium on Logic, Language, and Computation
FWS – Workshop Farbbildverarbeitung
ALART – Automatic Learning and Real-Time
Artificial Neural Neutworks
WNSP – Workshop on Nonlinear Speech Processing
GfKl – Conference of the Gesellschaft für Klassifikation
Mobiles Computing in der Medizin
CCU – Contemporary Computing in Ukraine
Datenverarbeitung im Marketing

Machine Intelligence Journals

PAMI – IEEE Transactions on Pattern Analysis and Machine Intelligence
NECO – Neural Computation
ML – Machine Learning
IEEE Transactions on Neural Networks
PR – Pattern Recognition
JMLR – Journal of Machine Learning Research
PRL – Pattern Recognition Letters
JASSS – The Journal of Artificial Societies and Social Simulation
IJPRAI – International Journal of Pattern Recognition and Artificial Intelligence
IR – Information Research
Advanced Robotics
ISF – Information Systems Frontiers
PAA – Pattern Analysis and Applications
IJDAR – International Journal on Document Analysis and Recognition
NCA – Neural Computing and Applications
EJIS – European Journal of Information Systems
Internet Mathematics
Transactions on Rough Sets
IMPACT CSE – Impact of Computing in Science and Engineering
Cognition, Technology & Work
IJITDM – International Journal of Information Technology and Decision Making
IJKL – International Journal of Knowledge and Learning
IJWGS – International Journal of Web and Grid Services
Machine Intelligence and Pattern Recognition
IEEE Transactions on Aerospace and Navigational Electronics
MLDM – Transactions on Machine Learning and Data Mining
Information Sciences 

Data Science Journals, Publications and Magazines*


Leading Organizations from an academic publications’ perspective

Massachusetts Institute of Technology
University of California Berkeley
Carnegie Mellon University
Stanford University
University of California San Diego
Michigan State University
Google Inc.
Hebrew University of Jerusalem
University College London
Princeton University
University of Maryland
University of Illinois Urbana Champaign
University of Cambridge
University of Toronto
AT&T Labs Research
University of Texas Austin
University of Southern California
University of Pennsylvania
Aalto University
University of Washington
Max Planck Gesellschaft
New York University
Columbia University
Cornell University
University of Massachusetts
Brown University
California Institute of Technology
Yale University
University of Edinburgh
University of Wisconsin Madison
The French National Institute for Research in Computer Science and Control
Purdue University
Boston University
University of California Irvine
University of California Los Angeles
Technion Israel Institute of Technology
University of Michigan
National Aeronautics and Space Administration, United States
École Polytechnique Fédérale de Lausanne
Johns Hopkins University
University of Oxford
University of Surrey
University of California Santa Cruz
Nanyang Technological University
Swiss Federal Institute of Technology Zurich
Harvard University
Chinese Academy of Sciences
Georgia Institute of Technology
University of Alberta
Rutgers, The State University of New Jersey
Tel Aviv University
University of British Columbia
Salk Institute for Biological Studies
National University of Singapore
Technical University of Berlin
McGill University
Pennsylvania State University
Australian National University
Université de Montreal
Delft University of Technology
Ohio State University
University of Bristol
City University of New York
University of Tokyo
Rensselaer Polytechnic Institute
National Taiwan University
Yahoo Research Labs
SRI International
Imperial College London
Indian Statistical Institute Kolkata
University of Minnesota
University of California Santa Barbara
University of London Computer Centre
RIKEN Brain Science Institute
George Mason University
University of Pittsburgh
National Institute of Advanced Industrial Science & Technology, Japan
Hong Kong Polytechnic University
University of Florida
University of Fribourg
Duke University
University of Waterloo
University of Southampton
Concordia University
Oregon State University
Chinese University of Hong Kong
National Chiao Tung University, Taiwan
University of Tübingen
Universität Bern
University of Chicago
Royal Holloway University of London
Weizmann Institute of Science
City University of Hong Kong
University of Helsinki
École Normale Supérieure Paris
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