This article discusses how AI has been portrayed in cinema, from early automatons in Metropolis to modern depictions of digital consciousness in Blade Runner and Terminator. It explores themes such as autonomy, intelligence, and responsibility. The films mentioned capture themes that still shape public imagination. Why it matters: Examining AI through the lens of cinema provides insights into societal hopes, fears, and questions about humanity's relationship with intelligent machines, influencing public perception and ethical considerations.
Saudi Arabia is reportedly investing $900 million into WME, a Hollywood talent agency, to develop its AI capabilities. The Saudi Public Investment Fund (PIF) is leading the investment through its SRJ Sports Investments arm. WME plans to build AI tools to better predict audience behavior and streamline film production. Why it matters: The deal provides Saudi Arabia with a stake in the future of entertainment AI, aligning with its broader Vision 2030 goals of diversifying the economy.
Todd Nims, a filmmaker born in Saudi Arabia, premiered his film "Joud" at KAUST's 2018 Winter Enrichment Program. The film, set in Saudi Arabia, explores the cycle of life in reverse and the meaning of "Joud" (generosity in the face of scarcity). Nims describes Saudi Arabia as a "magical place" due to its rich storytelling tradition. Why it matters: The article highlights KAUST's role in showcasing cultural works and supporting Saudi artists, though the AI relevance is limited.
Margaret Livingstone, a neurobiology professor at Harvard Medical School, lectured at KAUST's Winter Enrichment Program 2018 on how art can reveal insights into the human brain. She discussed how artists have long understood the independent roles of color and luminance in visual perception. Livingstone highlighted examples from Picasso, Monet, and Warhol to illustrate how artists manipulate visual cues. Why it matters: This interdisciplinary approach can potentially lead to new understandings of how the brain processes visual information and inform advances in both neuroscience and art.
A new framework for constructing confidence sets for causal orderings within structural equation models (SEMs) is presented. It leverages a residual bootstrap procedure to test the goodness-of-fit of causal orderings, quantifying uncertainty in causal discovery. The method is computationally efficient and suitable for medium-sized problems while maintaining theoretical guarantees as the number of variables increases. Why it matters: This offers a new dimension of uncertainty quantification that enhances the robustness and reliability of causal inference in complex systems, but there is no indication of connection to the Middle East.
The article mentions several KAUST faculty and staff, including Matteo Parsani (Assistant Professor of Applied Mathematics), Teofilo Abrajano (Director of Sponsored Research), and David Keyes (Director of the Extreme Computing Research Center). It also references a talk by NASA Senior Scientist Mark Carpenter at the SIAM CSE 2017 conference. The article includes a photograph of King Abdullah bin Abdulaziz Al Saud. Why it matters: This appears to be general information about KAUST faculty and activities, but lacks specific details on research or AI developments.
Astrophysicist Kip Thorne discussed his role as the lead scientific advisor for the movie "Interstellar" at KAUST's Winter Enrichment Program in 2016. Thorne collaborated with the movie's visual effects team to ensure the depictions of astrophysical objects like black holes and wormholes were scientifically sound. Thorne highlighted his collaboration with director Christopher Nolan and the challenges of blending scientific accuracy with Nolan's artistic vision. Why it matters: The lecture highlights KAUST's commitment to engaging with cutting-edge science and its applications in popular culture.