Deep Time Machine Learning

DTML discovers geospeculative histories of the digital, through the octagonal 'mirror staging' of an intelligent robots genealogy. It locates the ongoing troubled relationships between obsolete human societies within an archeo-computational axis that has failed to produce justice, health or equality in the inflated and precarious 21st century's breakdown. "With a view to developments in robotics and artificial intelligence, the Committee on Legal Affairs deemed it time for the European Union to take action in respect of the legal and ethical issues raised by these new technologies". [ europarl.europa.eu/RegData/etudes/STUD/2016/571379/IPOL_STU%282016%29571379_EN.pdf ] DTML's approach is neuroethological. Its a developmental psychology of superficially intelligent machines. Incorporating various resolutions through a wide array of image producing technologies, (including LIDAR which captures spaces rather than 2 dimensional image-surfaces), tools, law, logic, and visuality coalesce in (hyper) media historialities and new structuralist film techniques for the age of machine vision. In the video, a human-sensing robot arm investigates a 200,000 year old stone hand axe and an 18th century mechanical calculator (the first fully functional four stage computation device), each placed on an octogonal mirror. The robotic arm passes through interfaces of geology, archaeology, mechanics and computation and intimately explores its own coming into being as a product of human engineering. Deep Time Machine Learning is crucially punctuated with excerpts from the EU Commission to Civil Law Rules on Robotics, 2017 (which is available in every European language)[2] and was developed in spring of 2017 at the BOSCH Gmbh Campus for Research and Advanced Engineering with the support of Akademie Schloss Solitude's 'Art, Science, and Business' program, and as a 'Wimmelforschung' residency project.

Year

2018

Director

Jol Thoms

Duration

9 min

Country

Germany

Language

English