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- First experiments in the automatic generation of pseudo-profound pseudo-bullshit image titles
< Back First experiments in the automatic generation of pseudo-profound pseudo-bullshit image titles Link Author(s) S Colton, S Berns, BP Ferrer Abstract More info TBA Link
- Player Research Limited
iGGi Partners We are excited to be collaborating with a number of industry partners. IGGI works with industry in some of the following ways: Student Industry Knowledge Transfer - this can take many forms, from what looks like a traditional placement, to a short term consultancy, to an ongoing relationship between the student and their industry partner. Student Sponsorship - for some of our students, their relationship with their industry partner is reinforced by sponsorship from the company. This is an excellent demonstration of the strength of the commitment and the success of the collaborations. In Kind Contributions - IGGI industry partners can contribute by attending and/or featuring in our annual conference, offering their time to give talks and masterclasses for our students, or even taking part in our annual game jam! There are many ways for our industry partners to work with IGGI. If you are interested in becoming involved, please do contact us so we can discuss what might be suitable for you. Player Research Limited
- Tribes: a new turn-based strategy game for AI research
< Back Tribes: a new turn-based strategy game for AI research Link Author(s) D Perez-Liebana, YJ Hsu, S Emmanouilidis, B Khaleque, R Gaina Abstract More info TBA Link
- Exploring the relationship between video game expertise and fluid intelligence
< Back Exploring the relationship between video game expertise and fluid intelligence Link Author(s) AV Kokkinakis, PI Cowling, A Drachen, AR Wade Abstract More info TBA Link
- Nemisindo
iGGi Partners We are excited to be collaborating with a number of industry partners. IGGI works with industry in some of the following ways: Student Industry Knowledge Transfer - this can take many forms, from what looks like a traditional placement, to a short term consultancy, to an ongoing relationship between the student and their industry partner. Student Sponsorship - for some of our students, their relationship with their industry partner is reinforced by sponsorship from the company. This is an excellent demonstration of the strength of the commitment and the success of the collaborations. In Kind Contributions - IGGI industry partners can contribute by attending and/or featuring in our annual conference, offering their time to give talks and masterclasses for our students, or even taking part in our annual game jam! There are many ways for our industry partners to work with IGGI. If you are interested in becoming involved, please do contact us so we can discuss what might be suitable for you. Nemisindo
- Use of Technology in Brief Interventions
< Back Use of Technology in Brief Interventions Link Author(s) L Gega, MJ Saiger Abstract More info TBA Link
- InteractML: Making machine learning accessible for creative practitioners working with movement interaction in immersive media
< Back InteractML: Making machine learning accessible for creative practitioners working with movement interaction in immersive media Link Author(s) C Hilton, N Plant, C González Díaz, P Perry, R Gibson, B Martelli, ... Abstract More info TBA Link
- Is a robot needed to modify human effort in bimanual tracking?
< Back Is a robot needed to modify human effort in bimanual tracking? Link Author(s) N Pena-Perez, J Eden, E Ivanova, E Burdet, I Farkhatdinov Abstract More info TBA Link
- General win prediction from agent experience
< Back General win prediction from agent experience Link Author(s) RD Gaina, SM Lucas, D Perez-Liebana Abstract More info TBA Link
- Automated motion analysis of adherent cells in monolayer culture
< Back Automated motion analysis of adherent cells in monolayer culture Link Author(s) Z Zhang, M Bedder, SL Smith, D Walker, S Shabir, J Southgate Abstract More info TBA Link
- Practical Game Design Tool: State Explorer
< Back Practical Game Design Tool: State Explorer Link Author(s) R Volkovas, M Fairbank, JR Woodward, S Lucas Abstract More info TBA Link
- Efficient evolutionary methods for game agent optimisation: Model-based is best
< Back Efficient evolutionary methods for game agent optimisation: Model-based is best Link Author(s) SM Lucas, J Liu, I Bravi, RD Gaina, J Woodward, V Volz, D Perez-Liebana Abstract More info TBA Link



