Preceded by Science on Screen® presentation, “Synthetic Dreams and Ghost Machines,” by Dr. Steven Skiena exploring the rapidly evolving worlds of artificial intelligence and robotics.
Caleb Smith (Domhnall Gleeson), a programmer at a huge Internet company, wins a contest that enables him to spend a week at the private estate of Nathan Bateman (Oscar Isaac), his firm’s brilliant CEO. When he arrives, Caleb learns that he has been chosen to be the human component in a Turing test to determine the capabilities and consciousness of Ava (Alicia Vikander), a beautiful robot. However, it soon becomes evident that Ava is far more self-aware and deceptive than either man imagined.
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Dr. Steven Skiena will join the Cinema for a presentation exploring the rapidly evolving worlds of artificial intelligence and robotics.
Dr. Skiena is Distinguished Teaching Professor of Computer Science and Associate Director of the AI Innovation Institute at Stony Brook University. A leading researcher in data science and algorithms, he is the author of several influential books on AI and computation, including The Algorithm Design Manual and The Data Science Design Manual.
The presentation will be followed by a screening of Ex Machina, Alex Garland’s provocative science-fiction thriller exploring the seductive and unsettling boundaries between human consciousness and artificial intelligence.
Dr. Steven Skiena is Distinguished Teaching Professor of Computer Science and Associate Director of the AI Innovation Institute at Stony Brook University. His research interests include data science, bioinformatics, and algorithms. He is the author of six books, including “The Algorithm Design Manual”, “The Data Science Design Manual”, and “Who’s Bigger: Where Historical Figures Really Rank”, and over 200 technical papers.
Skiena received his B.S. in Computer Science from the University of Virginia and his Ph.D. in Computer Science from the University of Illinois under Herbert Edelsbrunner in 1988. He is a Fellow of the American Association for the Advancement of Science (AAAS), a current and former Fulbright scholar, and recipient of the University of Virginia Engineering Distinguished Alumni Award (WahooWa!), the ONR Young Investigator Award and the IEEE Computer Science and Engineer Teaching Award. His paper on the DeepWalk approach to graph representation learning received the ten year Test of Time Award at KDD 2024.

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