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LEARNING MARKOV EQUIVALENCE CLASSES OF DIRECTED ACYCLIC Learning Markov Equivalence Classes of Directed Acyclic Graphs: an Objective Bayesian Approach Guido Consonni Department of Statistical Sciences Università Cattolica del Sacro Cuore, MilanB-COURSE
Welcome to B-Course. B-Course is a web-based data analysis tool for Bayesian modeling, in particular dependence and classificationmodeling.
ON CAUSAL DISCOVERY FROM TIME SERIES DATA USING FCI On Causal Discovery from Time Series Data using FCI Doris Entner1 and Patrik O. Hoyer1;2 1 HIIT & Dept. of Computer Science, University of Helsinki, Finland 2 CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA Abstract We adapt the Fast Causal Inference (FCI) algorithm of Spirtes et al. (2000) to the problem of ADVANCES IN MINIMUM DESCRIPTION LENGTH: THEORY AND Advances in Minimum Description Length: Theory and Applications edited by Peter D. Grun¨ wald In Jae Myung Mark A. Pitt The MIT Press Cambridge, Massachusetts TRANSACTION MANAGEMENT FOR M-COMMERCE AT A MOBILE TERMINAL Transaction Management for M-Commerce at a Mobile Terminal Jari Veijalainen1, Vagan Terziyan2, Henry Tirri3 1Department of Computer Science and Inf. Systems, Univ. of Jyvaskyla, e-mail: veijalainenj@acm.org 2Department of Mathematical Information Technology, Univ. of Jyvaskyla, e-mail: vagan@it.jyu.fi 3Helsinki Institute for Information Technology and Department of ComputerScience,
HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY 13.5.2021. |. European Learning and Intelligence Systems Excellence (ELISE) has published its Strategic Research Agenda, setting out a roadmap for European leadership in the development of safe and effective AI systems. New algorithm reveals how private privacy-preserving computations really are. . MISSION – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Helsinki Institute for Information Technology HIIT is a joint research institute of Aalto University and the University of Helsinki for basic and applied research on information technology. HIIT's mission is to conduct top-level research, seamlessly moving between fundamental methods and technologies to novel applications and their impact on people and society. HIIT CALLS – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Postdoctoral Researcher and Research Fellow Positions in ICT (Helsinki, Finland) Aalto University and the University of Helsinki are looking for Postdoctoral Researchers and Research Fellows to tackle interesting challenges in multiple areas of ICT.. The deadline for applications was TRANSLATION MODELS MADE IN HELSINKI ARE NOW INTEGRATED IN Translation models made in Helsinki are now integrated in Hugging Face transformers Hugging Face is taking its first steps into machine translation thanks to researchers in Helsinki, who now provide 1008 machine translation models covering 140 different languages. Hugging Face is a company aiming to democratize natural language processing. MULTIDISCIPLINARY PILOT PROJECT EXPLORED SMART TEXTILES Multidisciplinary pilot project explored smart textiles and virtual reality in rehabilitation of stroke patients The mc² – Mobile Cloud Computing group at Aalto University is doing experimental systems research on Virtual Reality (VR) and wearable sensing technologies. In a recent project with Kuopio University Hospital and SavoniaUniversity of
LEARNING MARKOV EQUIVALENCE CLASSES OF DIRECTED ACYCLIC Learning Markov Equivalence Classes of Directed Acyclic Graphs: an Objective Bayesian Approach Guido Consonni Department of Statistical Sciences Università Cattolica del Sacro Cuore, MilanB-COURSE
Welcome to B-Course. B-Course is a web-based data analysis tool for Bayesian modeling, in particular dependence and classificationmodeling.
ON CAUSAL DISCOVERY FROM TIME SERIES DATA USING FCI On Causal Discovery from Time Series Data using FCI Doris Entner1 and Patrik O. Hoyer1;2 1 HIIT & Dept. of Computer Science, University of Helsinki, Finland 2 CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA Abstract We adapt the Fast Causal Inference (FCI) algorithm of Spirtes et al. (2000) to the problem of ADVANCES IN MINIMUM DESCRIPTION LENGTH: THEORY AND Advances in Minimum Description Length: Theory and Applications edited by Peter D. Grun¨ wald In Jae Myung Mark A. Pitt The MIT Press Cambridge, Massachusetts TRANSACTION MANAGEMENT FOR M-COMMERCE AT A MOBILE TERMINAL Transaction Management for M-Commerce at a Mobile Terminal Jari Veijalainen1, Vagan Terziyan2, Henry Tirri3 1Department of Computer Science and Inf. Systems, Univ. of Jyvaskyla, e-mail: veijalainenj@acm.org 2Department of Mathematical Information Technology, Univ. of Jyvaskyla, e-mail: vagan@it.jyu.fi 3Helsinki Institute for Information Technology and Department of ComputerScience,
HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY 13.5.2021. |. European Learning and Intelligence Systems Excellence (ELISE) has published its Strategic Research Agenda, setting out a roadmap for European leadership in the development of safe and effective AI systems. New algorithm reveals how private privacy-preserving computations really are. . MISSION – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Helsinki Institute for Information Technology HIIT is a joint research institute of Aalto University and the University of Helsinki for basic and applied research on information technology.. HIIT’s mission is to conduct top-level research, seamlessly moving between fundamental methods and technologies to novel applications and their impact onpeople and society.
CALLS – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Postdoctoral Researcher and Research Fellow Positions in ICT (Helsinki, Finland) Aalto University and the University of Helsinki are looking for Postdoctoral Researchers and Research Fellows to tackle interesting challenges in multiple areas of ICT.. The deadline for applications was OVERVIEW – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Overview Helsinki Institute for Information Technology HIIT was established twenty years ago, in 1999, when Helsinki University of Technology and the University of Helsinki signed a contract for establishing a joint research institute for information technology research. The contract was later renewed in 2015 with the recently established Aalto University, and the two SUPPORT FOR RESEARCHERS Doctoral education. We are supporting recruitment of new doctoral students candidates via the joint calls organised twice a year by HICT, the Helsinki Doctoral Education Network in ICT.HICT also supports various cross-department and cross-university events for students, and organises additional training for students willing to enhance for example their pitching and presentation skills.DOCTORAL EDUCATION
HICT is a joint initiative by Aalto University and the University of Helsinki. The network involves at present over 60 professors and over 200 doctoral students, and the participating units graduate altogether more than 40 new doctors each year. The quality of research and education in both HICT universities is world-class, but the educationis
COMPUTERS CAN PREDICT OUR PREFERENCES DIRECTLY FROM OUR Computers can predict our preferences directly from our brain A research team from the University of Helsinki and University of Copenhagen demonstrates it is possible to predict individual preferences based on how a person’s brain responses match up to others. This could potentially be used to provide individually-tailored STRATEGIC RESEARCH AGENDA FOR THE DEVELOPMENT OF European Network of AI Excellence Centres publishes strategic research agenda for the development of trustworthy AI in Europe European Learning and Intelligence Systems Excellence (ELISE) has published its Strategic Research Agenda, setting out a roadmap for Europeanleadership in the
CS S4 SCIENTIFIC SYMPOSIUM BY STUDENTS FOR STUDENTS Doctoral Student! Are you interested in learning about the impact your research can have in society? Do you want to discover new dimensions of your research while listening to our keynote speakers and fellow doctoral students speak about AI and its relevance in society? Or perhaps you just want to meet and mingle with fellow IPEC 2018, HELSINKI, FINLAND The 13th International Symposium on Parameterized and Exact Computation (IPEC 2018) covers research in all aspects of parameterized and exact algorithms and complexity. IPEC 2018 will be held on 22–24 August 2018 in Helsinki, Finland. IPEC 2018 will be part of ALGO 2018, which also hosts ALGOCLOUD, ALGOSENSORS, ATMOS, ESA, WABI, and WAOA. HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY 13.5.2021. |. European Learning and Intelligence Systems Excellence (ELISE) has published its Strategic Research Agenda, setting out a roadmap for European leadership in the development of safe and effective AI systems. New algorithm reveals how private privacy-preserving computations really are. . MISSION – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Helsinki Institute for Information Technology HIIT is a joint research institute of Aalto University and the University of Helsinki for basic and applied research on information technology. HIIT's mission is to conduct top-level research, seamlessly moving between fundamental methods and technologies to novel applications and their impact on people and society. HIIT AI IN MATERIALS SCIENCE WORKSHOP The Finnish Center for Artificial Intelligence (FCAI) hosts the AI in Materials Science workshop on 28 January 2020 at 9 am – 12 pm.The workshop explores the possibilities of AI-assisted materials science and design and welcomes new researchers from Aalto University, University of Helsinki, and VTT to join the FCAI research community. LEARNING MARKOV EQUIVALENCE CLASSES OF DIRECTED ACYCLIC Learning Markov Equivalence Classes of Directed Acyclic Graphs: an Objective Bayesian Approach Guido Consonni Department of Statistical Sciences Università Cattolica del Sacro Cuore, MilanB-COURSE
Welcome to B-Course. B-Course is a web-based data analysis tool for Bayesian modeling, in particular dependence and classificationmodeling.
YOU CAN’T TELL WHETHER AN ONLINE RESTAURANT REVIEW IS FAKE You can't tell whether an online restaurant review is fake - but this AI can Researchers find AI-generated reviews and comments pose a significant threat to consumers, but machine learning can help detect the fakes. Sites like TripAdvisor, Yelp and Amazon display userreviews of
ON CAUSAL DISCOVERY FROM TIME SERIES DATA USING FCI On Causal Discovery from Time Series Data using FCI Doris Entner1 and Patrik O. Hoyer1;2 1 HIIT & Dept. of Computer Science, University of Helsinki, Finland 2 CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA Abstract We adapt the Fast Causal Inference (FCI) algorithm of Spirtes et al. (2000) to the problem of CHALLENGES IN DISTRIBUTED SHORTEST PATHS ALGORITHMS Challenges in Distributed Shortest Paths Algorithms 1 Danupon Nanongkai KTH Royal Institute of Technology, Sweden SIROCCO 2016 ADVANCES IN MINIMUM DESCRIPTION LENGTH: THEORY AND Advances in Minimum Description Length: Theory and Applications edited by Peter D. Grun¨ wald In Jae Myung Mark A. Pitt The MIT Press Cambridge, Massachusetts ROBUST (BAYESIAN) INFERENCE1 Preamble The term ‘assumptions’ is somewhat vague, but for our purposes it will su ce to cover statements and issues such as, I Normality I Independence and identically distributed (i.i.d.) I Linearity I Stationarity I Parametric form of likelihood I Prior (for Bayesian models) I Data ascertainment and stability of training data to real-world application environment HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY 13.5.2021. |. European Learning and Intelligence Systems Excellence (ELISE) has published its Strategic Research Agenda, setting out a roadmap for European leadership in the development of safe and effective AI systems. New algorithm reveals how private privacy-preserving computations really are. . MISSION – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Helsinki Institute for Information Technology HIIT is a joint research institute of Aalto University and the University of Helsinki for basic and applied research on information technology. HIIT's mission is to conduct top-level research, seamlessly moving between fundamental methods and technologies to novel applications and their impact on people and society. HIIT AI IN MATERIALS SCIENCE WORKSHOP The Finnish Center for Artificial Intelligence (FCAI) hosts the AI in Materials Science workshop on 28 January 2020 at 9 am – 12 pm.The workshop explores the possibilities of AI-assisted materials science and design and welcomes new researchers from Aalto University, University of Helsinki, and VTT to join the FCAI research community. LEARNING MARKOV EQUIVALENCE CLASSES OF DIRECTED ACYCLIC Learning Markov Equivalence Classes of Directed Acyclic Graphs: an Objective Bayesian Approach Guido Consonni Department of Statistical Sciences Università Cattolica del Sacro Cuore, MilanB-COURSE
Welcome to B-Course. B-Course is a web-based data analysis tool for Bayesian modeling, in particular dependence and classificationmodeling.
YOU CAN’T TELL WHETHER AN ONLINE RESTAURANT REVIEW IS FAKE You can't tell whether an online restaurant review is fake - but this AI can Researchers find AI-generated reviews and comments pose a significant threat to consumers, but machine learning can help detect the fakes. Sites like TripAdvisor, Yelp and Amazon display userreviews of
ON CAUSAL DISCOVERY FROM TIME SERIES DATA USING FCI On Causal Discovery from Time Series Data using FCI Doris Entner1 and Patrik O. Hoyer1;2 1 HIIT & Dept. of Computer Science, University of Helsinki, Finland 2 CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA Abstract We adapt the Fast Causal Inference (FCI) algorithm of Spirtes et al. (2000) to the problem of CHALLENGES IN DISTRIBUTED SHORTEST PATHS ALGORITHMS Challenges in Distributed Shortest Paths Algorithms 1 Danupon Nanongkai KTH Royal Institute of Technology, Sweden SIROCCO 2016 ADVANCES IN MINIMUM DESCRIPTION LENGTH: THEORY AND Advances in Minimum Description Length: Theory and Applications edited by Peter D. Grun¨ wald In Jae Myung Mark A. Pitt The MIT Press Cambridge, Massachusetts ROBUST (BAYESIAN) INFERENCE1 Preamble The term ‘assumptions’ is somewhat vague, but for our purposes it will su ce to cover statements and issues such as, I Normality I Independence and identically distributed (i.i.d.) I Linearity I Stationarity I Parametric form of likelihood I Prior (for Bayesian models) I Data ascertainment and stability of training data to real-world application environment MISSION – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Helsinki Institute for Information Technology HIIT is a joint research institute of Aalto University and the University of Helsinki for basic and applied research on information technology.. HIIT’s mission is to conduct top-level research, seamlessly moving between fundamental methods and technologies to novel applications and their impact onpeople and society.
CALLS – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Postdoctoral Researcher and Research Fellow Positions in ICT (Helsinki, Finland) Aalto University and the University of Helsinki are looking for Postdoctoral Researchers and Research Fellows to tackle interesting challenges in multiple areas of ICT.. The deadline for applications was OVERVIEW – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Overview Helsinki Institute for Information Technology HIIT was established twenty years ago, in 1999, when Helsinki University of Technology and the University of Helsinki signed a contract for establishing a joint research institute for information technology research. The contract was later renewed in 2015 with the recently established Aalto University, and the two COMPUTERS CAN PREDICT OUR PREFERENCES DIRECTLY FROM OUR Computers can predict our preferences directly from our brain A research team from the University of Helsinki and University of Copenhagen demonstrates it is possible to predict individual preferences based on how a person’s brain responses match up to others. This could potentially be used to provide individually-tailored NEW ALGORITHM REVEALS HOW PRIVATE PRIVACY-PRESERVING New algorithm reveals how private privacy-preserving computations really are The new algorithm is already being taken into use in a dedicated open source library released by Google and to an open source library developed by FCAI researchers. Finnish Center for Artificial Intelligence FCAI MULTIDISCIPLINARY PILOT PROJECT EXPLORED SMART TEXTILES Multidisciplinary pilot project explored smart textiles and virtual reality in rehabilitation of stroke patients The mc² – Mobile Cloud Computing group at Aalto University is doing experimental systems research on Virtual Reality (VR) and wearable sensing technologies. In a recent project with Kuopio University Hospital and SavoniaUniversity of
B-COURSE
Welcome to B-Course. B-Course is a web-based data analysis tool for Bayesian modeling, in particular dependence and classificationmodeling.
YOU CAN’T TELL WHETHER AN ONLINE RESTAURANT REVIEW IS FAKE You can't tell whether an online restaurant review is fake - but this AI can Researchers find AI-generated reviews and comments pose a significant threat to consumers, but machine learning can help detect the fakes. Sites like TripAdvisor, Yelp and Amazon display userreviews of
ADVANCES IN MINIMUM DESCRIPTION LENGTH: THEORY AND Advances in Minimum Description Length: Theory and Applications edited by Peter D. Grun¨ wald In Jae Myung Mark A. Pitt The MIT Press Cambridge, Massachusetts AUTHOR'S PERSONAL COPY Author's personal copy State space models of individual animal movement Toby A. Patterson1,2, Len Thomas3, Chris Wilcox1, Otso Ovaskainen4 and Jason Matthiopoulos5,3 1 Commonwealth Industrial and ScientiÞc Research Association (CSIRO) Marine and Atmospheric Research, GPO Box 1538, Hobart, Tasmania 7001, Australia 2 Antarctic Wildlife Research Unit, School of Zoology, University of Tasmania HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY 13.5.2021. |. European Learning and Intelligence Systems Excellence (ELISE) has published its Strategic Research Agenda, setting out a roadmap for European leadership in the development of safe and effective AI systems. New algorithm reveals how private privacy-preserving computations really are. . MISSION – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Helsinki Institute for Information Technology HIIT is a joint research institute of Aalto University and the University of Helsinki for basic and applied research on information technology. HIIT's mission is to conduct top-level research, seamlessly moving between fundamental methods and technologies to novel applications and their impact on people and society. HIIT AI IN MATERIALS SCIENCE WORKSHOP The Finnish Center for Artificial Intelligence (FCAI) hosts the AI in Materials Science workshop on 28 January 2020 at 9 am – 12 pm.The workshop explores the possibilities of AI-assisted materials science and design and welcomes new researchers from Aalto University, University of Helsinki, and VTT to join the FCAI research community. LEARNING MARKOV EQUIVALENCE CLASSES OF DIRECTED ACYCLIC Learning Markov Equivalence Classes of Directed Acyclic Graphs: an Objective Bayesian Approach Guido Consonni Department of Statistical Sciences Università Cattolica del Sacro Cuore, MilanB-COURSE
Welcome to B-Course. B-Course is a web-based data analysis tool for Bayesian modeling, in particular dependence and classificationmodeling.
YOU CAN’T TELL WHETHER AN ONLINE RESTAURANT REVIEW IS FAKE You can't tell whether an online restaurant review is fake - but this AI can Researchers find AI-generated reviews and comments pose a significant threat to consumers, but machine learning can help detect the fakes. Sites like TripAdvisor, Yelp and Amazon display userreviews of
ON CAUSAL DISCOVERY FROM TIME SERIES DATA USING FCI On Causal Discovery from Time Series Data using FCI Doris Entner1 and Patrik O. Hoyer1;2 1 HIIT & Dept. of Computer Science, University of Helsinki, Finland 2 CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA Abstract We adapt the Fast Causal Inference (FCI) algorithm of Spirtes et al. (2000) to the problem of CHALLENGES IN DISTRIBUTED SHORTEST PATHS ALGORITHMS Challenges in Distributed Shortest Paths Algorithms 1 Danupon Nanongkai KTH Royal Institute of Technology, Sweden SIROCCO 2016 ADVANCES IN MINIMUM DESCRIPTION LENGTH: THEORY AND Advances in Minimum Description Length: Theory and Applications edited by Peter D. Grun¨ wald In Jae Myung Mark A. Pitt The MIT Press Cambridge, Massachusetts ROBUST (BAYESIAN) INFERENCE1 Preamble The term ‘assumptions’ is somewhat vague, but for our purposes it will su ce to cover statements and issues such as, I Normality I Independence and identically distributed (i.i.d.) I Linearity I Stationarity I Parametric form of likelihood I Prior (for Bayesian models) I Data ascertainment and stability of training data to real-world application environment HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY 13.5.2021. |. European Learning and Intelligence Systems Excellence (ELISE) has published its Strategic Research Agenda, setting out a roadmap for European leadership in the development of safe and effective AI systems. New algorithm reveals how private privacy-preserving computations really are. . MISSION – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Helsinki Institute for Information Technology HIIT is a joint research institute of Aalto University and the University of Helsinki for basic and applied research on information technology. HIIT's mission is to conduct top-level research, seamlessly moving between fundamental methods and technologies to novel applications and their impact on people and society. HIIT AI IN MATERIALS SCIENCE WORKSHOP The Finnish Center for Artificial Intelligence (FCAI) hosts the AI in Materials Science workshop on 28 January 2020 at 9 am – 12 pm.The workshop explores the possibilities of AI-assisted materials science and design and welcomes new researchers from Aalto University, University of Helsinki, and VTT to join the FCAI research community. LEARNING MARKOV EQUIVALENCE CLASSES OF DIRECTED ACYCLIC Learning Markov Equivalence Classes of Directed Acyclic Graphs: an Objective Bayesian Approach Guido Consonni Department of Statistical Sciences Università Cattolica del Sacro Cuore, MilanB-COURSE
Welcome to B-Course. B-Course is a web-based data analysis tool for Bayesian modeling, in particular dependence and classificationmodeling.
YOU CAN’T TELL WHETHER AN ONLINE RESTAURANT REVIEW IS FAKE You can't tell whether an online restaurant review is fake - but this AI can Researchers find AI-generated reviews and comments pose a significant threat to consumers, but machine learning can help detect the fakes. Sites like TripAdvisor, Yelp and Amazon display userreviews of
ON CAUSAL DISCOVERY FROM TIME SERIES DATA USING FCI On Causal Discovery from Time Series Data using FCI Doris Entner1 and Patrik O. Hoyer1;2 1 HIIT & Dept. of Computer Science, University of Helsinki, Finland 2 CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA Abstract We adapt the Fast Causal Inference (FCI) algorithm of Spirtes et al. (2000) to the problem of CHALLENGES IN DISTRIBUTED SHORTEST PATHS ALGORITHMS Challenges in Distributed Shortest Paths Algorithms 1 Danupon Nanongkai KTH Royal Institute of Technology, Sweden SIROCCO 2016 ADVANCES IN MINIMUM DESCRIPTION LENGTH: THEORY AND Advances in Minimum Description Length: Theory and Applications edited by Peter D. Grun¨ wald In Jae Myung Mark A. Pitt The MIT Press Cambridge, Massachusetts ROBUST (BAYESIAN) INFERENCE1 Preamble The term ‘assumptions’ is somewhat vague, but for our purposes it will su ce to cover statements and issues such as, I Normality I Independence and identically distributed (i.i.d.) I Linearity I Stationarity I Parametric form of likelihood I Prior (for Bayesian models) I Data ascertainment and stability of training data to real-world application environment MISSION – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Helsinki Institute for Information Technology HIIT is a joint research institute of Aalto University and the University of Helsinki for basic and applied research on information technology.. HIIT’s mission is to conduct top-level research, seamlessly moving between fundamental methods and technologies to novel applications and their impact onpeople and society.
CALLS – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Postdoctoral Researcher and Research Fellow Positions in ICT (Helsinki, Finland) Aalto University and the University of Helsinki are looking for Postdoctoral Researchers and Research Fellows to tackle interesting challenges in multiple areas of ICT.. The deadline for applications was SUPPORT FOR RESEARCHERS Doctoral education. We are supporting recruitment of new doctoral students candidates via the joint calls organised twice a year by HICT, the Helsinki Doctoral Education Network in ICT.HICT also supports various cross-department and cross-university events for students, and organises additional training for students willing to enhance for example their pitching and presentation skills.DOCTORAL EDUCATION
HICT is a joint initiative by Aalto University and the University of Helsinki. The network involves at present over 60 professors and over 200 doctoral students, and the participating units graduate altogether more than 40 new doctors each year. The quality of research and education in both HICT universities is world-class, but the educationis
COMPUTERS CAN PREDICT OUR PREFERENCES DIRECTLY FROM OUR Computers can predict our preferences directly from our brain A research team from the University of Helsinki and University of Copenhagen demonstrates it is possible to predict individual preferences based on how a person’s brain responses match up to others. This could potentially be used to provide individually-tailored NEW ALGORITHM REVEALS HOW PRIVATE PRIVACY-PRESERVING New algorithm reveals how private privacy-preserving computations really are The new algorithm is already being taken into use in a dedicated open source library released by Google and to an open source library developed by FCAI researchers. Finnish Center for Artificial Intelligence FCAI MULTIDISCIPLINARY PILOT PROJECT EXPLORED SMART TEXTILES Multidisciplinary pilot project explored smart textiles and virtual reality in rehabilitation of stroke patients The mc² – Mobile Cloud Computing group at Aalto University is doing experimental systems research on Virtual Reality (VR) and wearable sensing technologies. In a recent project with Kuopio University Hospital and SavoniaUniversity of
B-COURSE
B-Course Service is hosted by Complex Systems Computation Group CoSCo, Helsinki Institute for Information Technology datasets analyzed since the First of November, 2002 A total of . candidate models evaluated YOU CAN’T TELL WHETHER AN ONLINE RESTAURANT REVIEW IS FAKE You can't tell whether an online restaurant review is fake - but this AI can Researchers find AI-generated reviews and comments pose a significant threat to consumers, but machine learning can help detect the fakes. Sites like TripAdvisor, Yelp and Amazon display userreviews of
AUTHOR'S PERSONAL COPY Author's personal copy State space models of individual animal movement Toby A. Patterson1,2, Len Thomas3, Chris Wilcox1, Otso Ovaskainen4 and Jason Matthiopoulos5,3 1 Commonwealth Industrial and ScientiÞc Research Association (CSIRO) Marine and Atmospheric Research, GPO Box 1538, Hobart, Tasmania 7001, Australia 2 Antarctic Wildlife Research Unit, School of Zoology, University of Tasmania HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY A new computational model precisely replicates the eye and finger movements of touchscreen users - could lead to better auto-correct and keyboard usability for unique needs. MISSION – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Helsinki Institute for Information Technology HIIT is a joint research institute of Aalto University and the University of Helsinki for basic and applied research on information technology. HIIT's mission is to conduct top-level research, seamlessly moving between fundamental methods and technologies to novel applications and their impact on people and society. HIIT CALLS – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Postdoctoral Researcher and Research Fellow Positions in ICT (Helsinki, Finland) Aalto University and the University of Helsinki are looking for Postdoctoral Researchers and Research Fellows to tackle interesting challenges in multiple areas of ICT.. The deadline for applications was AI IN MATERIALS SCIENCE WORKSHOP The Finnish Center for Artificial Intelligence (FCAI) hosts the AI in Materials Science workshop on 28 January 2020 at 9 am – 12 pm.The workshop explores the possibilities of AI-assisted materials science and design and welcomes new researchers from Aalto University, University of Helsinki, and VTT to join the FCAI research community. MULTIDISCIPLINARY PILOT PROJECT EXPLORED SMART TEXTILES Multidisciplinary pilot project explored smart textiles and virtual reality in rehabilitation of stroke patients The mc² – Mobile Cloud Computing group at Aalto University is doing experimental systems research on Virtual Reality (VR) and wearable sensing technologies. In a recent project with Kuopio University Hospital and SavoniaUniversity of
REAL-TIME MONITORING OF AIR QUALITY DEVELOPED IN HELSINKI Real-time monitoring of air quality developed in Helsinki The European Union has conferred 4.7 Million euros to fund the production of real-time and detailed air-quality information using a 5G network. Some of the members in the HOPE project are particle scientists andcomputer scientists
LEARNING MARKOV EQUIVALENCE CLASSES OF DIRECTED ACYCLIC Learning Markov Equivalence Classes of Directed Acyclic Graphs: an Objective Bayesian Approach Guido Consonni Department of Statistical Sciences Università Cattolica del Sacro Cuore, MilanB-COURSE
Welcome to B-Course. B-Course is a web-based data analysis tool for Bayesian modeling, in particular dependence and classificationmodeling.
ON CAUSAL DISCOVERY FROM TIME SERIES DATA USING FCI On Causal Discovery from Time Series Data using FCI Doris Entner1 and Patrik O. Hoyer1;2 1 HIIT & Dept. of Computer Science, University of Helsinki, Finland 2 CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA Abstract We adapt the Fast Causal Inference (FCI) algorithm of Spirtes et al. (2000) to the problem of IPEC 2018, HELSINKI, FINLAND IPEC 2018. 13th International Symposium on Parameterized and Exact Computation. News. IPEC 2018 proceedings published in the LIPIcs open access series!; Important dates. EATCS-IPEC Nerode Prize nomination deadline: 1 March 2018; PACE challenge submission deadline: 1 May 2018; Title and short abstract registration deadline: 14 May 2018,23:59 AoE
HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY A new computational model precisely replicates the eye and finger movements of touchscreen users - could lead to better auto-correct and keyboard usability for unique needs. MISSION – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Helsinki Institute for Information Technology HIIT is a joint research institute of Aalto University and the University of Helsinki for basic and applied research on information technology. HIIT's mission is to conduct top-level research, seamlessly moving between fundamental methods and technologies to novel applications and their impact on people and society. HIIT CALLS – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Postdoctoral Researcher and Research Fellow Positions in ICT (Helsinki, Finland) Aalto University and the University of Helsinki are looking for Postdoctoral Researchers and Research Fellows to tackle interesting challenges in multiple areas of ICT.. The deadline for applications was AI IN MATERIALS SCIENCE WORKSHOP The Finnish Center for Artificial Intelligence (FCAI) hosts the AI in Materials Science workshop on 28 January 2020 at 9 am – 12 pm.The workshop explores the possibilities of AI-assisted materials science and design and welcomes new researchers from Aalto University, University of Helsinki, and VTT to join the FCAI research community. MULTIDISCIPLINARY PILOT PROJECT EXPLORED SMART TEXTILES Multidisciplinary pilot project explored smart textiles and virtual reality in rehabilitation of stroke patients The mc² – Mobile Cloud Computing group at Aalto University is doing experimental systems research on Virtual Reality (VR) and wearable sensing technologies. In a recent project with Kuopio University Hospital and SavoniaUniversity of
REAL-TIME MONITORING OF AIR QUALITY DEVELOPED IN HELSINKI Real-time monitoring of air quality developed in Helsinki The European Union has conferred 4.7 Million euros to fund the production of real-time and detailed air-quality information using a 5G network. Some of the members in the HOPE project are particle scientists andcomputer scientists
LEARNING MARKOV EQUIVALENCE CLASSES OF DIRECTED ACYCLIC Learning Markov Equivalence Classes of Directed Acyclic Graphs: an Objective Bayesian Approach Guido Consonni Department of Statistical Sciences Università Cattolica del Sacro Cuore, MilanB-COURSE
Welcome to B-Course. B-Course is a web-based data analysis tool for Bayesian modeling, in particular dependence and classificationmodeling.
ON CAUSAL DISCOVERY FROM TIME SERIES DATA USING FCI On Causal Discovery from Time Series Data using FCI Doris Entner1 and Patrik O. Hoyer1;2 1 HIIT & Dept. of Computer Science, University of Helsinki, Finland 2 CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA Abstract We adapt the Fast Causal Inference (FCI) algorithm of Spirtes et al. (2000) to the problem of IPEC 2018, HELSINKI, FINLAND IPEC 2018. 13th International Symposium on Parameterized and Exact Computation. News. IPEC 2018 proceedings published in the LIPIcs open access series!; Important dates. EATCS-IPEC Nerode Prize nomination deadline: 1 March 2018; PACE challenge submission deadline: 1 May 2018; Title and short abstract registration deadline: 14 May 2018,23:59 AoE
MISSION – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Helsinki Institute for Information Technology HIIT is a joint research institute of Aalto University and the University of Helsinki for basic and applied research on information technology.. HIIT’s mission is to conduct top-level research, seamlessly moving between fundamental methods and technologies to novel applications and their impact onpeople and society.
CALLS – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Postdoctoral Researcher and Research Fellow Positions in ICT (Helsinki, Finland) Aalto University and the University of Helsinki are looking for Postdoctoral Researchers and Research Fellows to tackle interesting challenges in multiple areas of ICT.. The deadline for applications was FOCUS AREAS OF RESEARCH HIIT Focus Areas The mission of HIIT is enhance the quality, collaboration activities, impact and visibility of research on information technologies. We have selected a number of strategic focus areas of research, where we believe the impact potential of our research community is particularly high. InCONTACT INFORMATION
Helsinki Institute for Information Technology HIIT Tietotekniikan tutkimuslaitos HIIT (in Finnish) Forskningsinstitutet för Informationsteknologi HIIT (in Swedish) hiit-info@hiit.fi www.hiit.fi Otaniemi Site Postal address at Computer Science Building: Helsinki Institute for Information Technology HIIT PO Box 15400, FI-00076 Aalto, Finland Street address: Computer Science Building SECURE SYSTEMS DEMO DAY 2021 Every year we organize a Demo Day to showcase our current research in information security and to seek valuable inputs from external visitors. The event is intended to bring local academia and industry together and give them an overview of information security research going on in Finland’s capital area. Secure Systems annual Demo Daysare public
SUPPORT FOR RESEARCHERS Doctoral education. We are supporting recruitment of new doctoral students candidates via the joint calls organised twice a year by HICT, the Helsinki Doctoral Education Network in ICT.HICT also supports various cross-department and cross-university events for students, and organises additional training for students willing to enhance for example their pitching and presentation skills.DOCTORAL EDUCATION
Doctoral education in ICT in Aalto University and University of Helsinki is coordinated by the following doctoral programmes: Aalto Doctoral Programme in Science Aalto Doctoral Programme in Electrical Engineering University of Helsinki Doctoral Programme in Computer Science (DoCS) If you are interested in a doctoral student position in the Helsinki Metropolitan area, you can either MIIKKA – HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY Multidisciplinary pilot project explored smart textiles and virtual reality in rehabilitation of stroke patients Miikka 2021-05-11T11:13:56+03:00 FOLLOWING E-CIGARETTE CONVERSATIONS ON TWITTER USING Following e-cigarette conversations on Twitter using artificial intelligence Machine learning methods help researchers follow social media promotions of addictive products to teenagers and young people. The advertising of nicotine products is highly restricted, but socialmedia allows a
HIIT OPEN 2019 PROGRAMMING CONTEST HIIT Open 2019 Programming Contest, Saturday, 25 May 2019, Otaniemi,Espoo, Finland.
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BASIC AND STRATEGIC RESEARCH IN INFORMATION TECHNOLOGY STRATEGIC PARTNERSHIP OF AALTO UNIVERSITY AND UNIVERSITY OF HELSINKI FOR ENHANCING THE QUALITY, VISIBILITY AND IMPACT OF FINNISH ITRESEARCH.
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Homeristo
2021-04-23T09:59:49+03:00HIGHLIGHTS
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Following e-cigarette conversations on Twitter using artificialintelligence
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FOLLOWING E-CIGARETTE CONVERSATIONS ON TWITTER USING ARTIFICIALINTELLIGENCE
Mia Paju
2021-06-04T14:44:49+03:004.6.2021| Machine learning methods help researchers follow social media promotions of addictive products to teenagers and young people.*
AI learns to type on a phone like humans*
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AI LEARNS TO TYPE ON A PHONE LIKE HUMANSMia Paju
2021-05-17T09:31:24+03:0017.5.2021| A new computational model precisely replicates the eye and finger movements of touchscreen users - could lead to better auto-correct and keyboard usability for unique needs.*
Strategic research agenda for the development of trustworthy AI inEurope
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STRATEGIC RESEARCH AGENDA FOR THE DEVELOPMENT OF TRUSTWORTHY AI INEUROPE
Mia Paju
2021-05-13T13:41:39+03:0013.5.2021| European Learning and Intelligence Systems Excellence (ELISE) has published its Strategic Research Agenda, setting out a roadmap for European leadership in the development of safe and effective AIsystems.
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New algorithm reveals how private privacy-preserving computations really are*
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NEW ALGORITHM REVEALS HOW PRIVATE PRIVACY-PRESERVING COMPUTATIONS REALLY AREMia Paju
2021-05-06T13:10:00+03:006.5.2021| The new algorithm is already being taken into use in a dedicated open source library released by Google and to an open source library developed by FCAI researchers.*
Researchers develop better way to determine safe drug doses forchildren
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RESEARCHERS DEVELOP BETTER WAY TO DETERMINE SAFE DRUG DOSES FORCHILDREN
Mia Paju
2021-05-06T12:56:04+03:006.5.2021| Researchers develop better way to determine safe drug doses for children. New research on organ maturation models could lead to improvements in drug development.*
AI technique captures complexity of human faces to help create realistic photo edits*
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AI TECHNIQUE CAPTURES COMPLEXITY OF HUMAN FACES TO HELP CREATE REALISTIC PHOTO EDITSMia Paju
2021-03-26T14:30:28+02:0026.3.2021| The ability to distil images to their most essential components and anticipate new scenes is what could drive computer vision and roboticsforward.
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SECURE SYSTEMS DEMO DAY 2021 15.6.2021 @ 15:00 - 20:00 CS S4 SCIENTIFIC SYMPOSIUM BY STUDENTS FOR STUDENTS 10.6.2021 @ 12:00 - 17:00 MARCO CONGEDO & PEDRO L.C. RODRIGUEZ: USING RIEMANNIAN GEOMETRY FOR BRAIN-COMPUTER INTERFACES 8.6.2021 @ 10:00 - 11:30 COLOR OF SCIENCE PUBLIC LECTURES 26.5.2021 @ 16:30 - 18:00 INDUSTRY AND SOCIETY WEBINAR: AI FOR SUSTAINABILITY – SMART MOBILITY 20.5.2021 @ 13:00 - 15:00MORE EVENTS
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In memoriam: Jorma Rissanen, inventor of arithmetic coding and celebrated information theorist27.5.2020
Multidisciplinary pilot project explored smart textiles and virtual reality in rehabilitation of stroke patients26.5.2020
FCAI supports the Finnish Government’s new expert group on AI anddigitalization
17.2.2020
Siamese neural networks applied to algorithm selection in recommendersystems
18.11.2019
Foundations of animal-computer interaction explored with monkeys ofthe Helsinki Zoo
16.11.2019
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ARTIFICIAL INTELLIGENCE – A KEY TO SUSTAINABLE SMART CITIES ANDMOBILITY
28.5.2021
Artificial intelligence – a key to sustainable smart cities and …*
JANNE LINDQVIST AS A GUEST IN THE PODCAST ‘RATKAISUJEN TARPEESSA’21.5.2021
Janne Lindqvist and Miapetra Kumpula-Natri's discussion on thesecurity in …
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MORE CERTAINTY FOR DEEP LEARNING14.5.2021
More certainty for deep learning With the support of Saab, …MORE NEWS
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