Embedded Files
Blade Runner (1982)
Blade Runner (1982)
Director: Ridley Scott
Country of origin: United Satates
Rick Deckard (Harrison Ford) is a retired cop in Los Angeles in 2019. L.A. has become a pan-cultural dystopia of corporate advertising, pollution and flying automobiles, as well as replicants, human-like androids with short life spans built by the Tyrell Corporation for use in dangerous off-world colonization. Deckard's former job in the police department was as a talented blade runner, a euphemism for detectives that hunt down and assassinate rogue replicants. Called before his one-time superior (M. Emmett Walsh), Deckard is forced back into active duty. A quartet of replicants led by Roy Batty (Rutger Hauer) has escaped and headed to Earth, killing several humans in the process.
Rick Deckard (Harrison Ford) is a retired cop in Los Angeles in 2019. L.A. has become a pan-cultural dystopia of corporate advertising, pollution and flying automobiles, as well as replicants, human-like androids with short life spans built by the Tyrell Corporation for use in dangerous off-world colonization. Deckard's former job in the police department was as a talented blade runner, a euphemism for detectives that hunt down and assassinate rogue replicants. Called before his one-time superior (M. Emmett Walsh), Deckard is forced back into active duty. A quartet of replicants led by Roy Batty (Rutger Hauer) has escaped and headed to Earth, killing several humans in the process.
Heidi Boisvert
Heidi Boisvert
University of Florida
Embodied Intelligence & the Future of the Performance
Dr. Heidi Boisvert will discuss current empirical research methods and insights emerging from the Limbic Lab, which employs biometrics, machine learning and predictive models to isolate effective narrative ingredients across various mediums of expression. Boisvert will share how this research informs the creation of bio-adaptive, networked dance and mixed reality theatre performances that interrogate how our bodies carry intergenerational trauma, are surveilled, controlled, and spun out of balance by our dependence upon technology and speculate on future bodies.
Brett Stalbaum
Brett Stalbaum
University of California San Diego
Function Approximations and Allucinations: We don't know how the AI gaze does what it does
Neural networks, for example LLMs and GANs, are a triumph of applied mathematics that evade full theoretical understanding of their function. We know how to make them, but we don't really know how they do what they do. Demonstrating this with a well known AI training example, I briefly explore a few examples from the art world wherein artists are exploring this question.
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