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Sally, an introverted 15 year old girl, lives and bears with her wolf-father in the city of New York where Wolf is slipping more and more into his world of wilderness. Sally still remembers the man he used to be; a brilliant and talented jazz trumpeter. Where did her father go? And can he still be found somewhere within the Wolf? Want to know more about The Animation Workshop? Facebook: Tumblr: Website: UNTAMED was made by a team of 3rd year Character Animation & CG Art students at The Ani-mation Workshop in Viborg, Denmark. Check out the individual student’s blogs at the links below to learn more about the talent behind the film! CREDITS Juliette Viger Director/Storyboard/Editing/Animation – Maja-Lisa Kehlet Art Director/Visual Development/CG Generalist – Tautvydas Kazlauskas CG Generalist/Visual Development/Production Manager – Anna Ewa Nowakowska Animation Lead/Story Development – Andreea Serban-Chira CG Generalist/Visual Development - Simon Dilling Hansen CG Generalist/Visual Development - William Mackenzie Animator – Karina Venneberg Sørensen Animator – Additional Work by: Marylou Mao Animation Sara Jespersen Holm Animation Nikolaj Themothæussen Animation Parental Guidance Suggested
WINNER 25th McLaren Award, BEST BRITISH ANIMATION, EDINBURGH INT. FILM FESTIVAL 2014 Little Sofía loves her grumpy granny: even though she is always hungry and eats what little food they can buy. Her pension is the only thing keeping her and her father alive. To what extremes will they go to once granny is no more? Official website: Based on a story by Nina Kouletakis Directed by Effie Pappa Produced by Miranda Ballesteros Voice Narration: Effie Pappa Story adaptation by Effie Pappa, Miranda Ballesteros, Melissa Iqbal Voice over written by Katerina Giannakou Production Designer: Thomas Antony Lowthion Director of Photography: Tristan Chenais Editor: Sibila Estruch Composer: David Pearce Sound Editor: Marton Kristof VFX Supervisor - Online Editor - Colourist: Ram K. Tripathi Samaveda CG Supervisor: Daniel Neeson National Film & TV School 2014 AWARDS: BEST BRITISH ANIMATION AWARD (25th McLaren Award), Edinburgh Int. Film Festival BEST INT. STUDENT AWARD Montreal World film Festival. Canada BEST INT. STUDENT AWARD ANIMASYROS. Greece BEST GREEK ANIMATION AWARD BE THERE, CORFU INT. FILM FESTIVAL BEST INTERNATIONAL SHORT FILM Festival Internacional de Cine Gastronómico Ciudad de La Laguna BEST PRODUCTION DESIGN Watersprite Film Festival BEST SHORT ANIMATED FILM London Independent Film Festival JURY’S SPECIAL AWARD Tokyo Anime Awards BEST SHORT FLM (Lumen Award 2015) Corto Creativo UDCI BEST SHORT FILM SCHLINGEL Int. Film Festival BEST STUDENTS SHOWCASE Hamptons International Film Festival BEST SHORT FILM Circolo del Cinema "Sogni - Antonio Ricci" SPECIAL MENTION Cyprus Int. Film Festival
Bio-inspire A/V Dome Performance IAIA | Institute of American Indian Arts in New Mexico, USA, 2015 Fiske Planetarium - University of Colorado Boulder in Colorado, USA, 2015 BioInspire is an A/V dome performance which has screened in the Institute of American Indian Arts(New Mexico, USA) and Fiske Planetarium - University of Colorado Boulder(Colorado, USA). Artificial neural networks(ANNs), a largely used method in machine learning and cognitive science, are inspired by the biological neural networks, namely the neural system of the animals. The ANNs are composed of several nodes, layers and connections which simulate to some extent the message exchange and processing through a biological neural network. In fact, ANNs tries to find an approximate functions that evaluate all the inputs in order to give a meaningful output concerning the data. Each function is specific to the learned data according to which the form of the ANN is shaped. So, ANN adapt itself to learn from the data, to mine it; it then turns into a generic processing model that evaluates, classify, categorize the inputs, likewise our brain, neurons and synapses. As the quantity of layers, nodes and connections in an artificial neural network increase, the structure gets more complex. Getting the inspiration from the structure of an ANN, our aim is to redefine the complexity of a neural network using abstract objects and sound referring to it's natural form. Direction & Animation: Void Director: Yusuf Emre Kucur, Bahadır Dağdelen Concept Development: Şerife Seda Kucur Project Manager: Evren Erbaşol A/V Artists: Yusuf Emre Kucur, Bahadır Dağdelen Documentation: Cüneyt Korkut Keleşoglu Sound Design: Selçuk Can Güven, Erhan Kabakci Special Thanks: Selay Karasu, Tuğçe Akkoç, Rob Chapman, Barış Serdar, Ali Ata Kavame, Can Bilgin