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An often-spouted complaint about public infrastructure projects is how long they take to complete. California High-Speed Rail, a perennial punching bag, is slated to get its initial operating segment running by 2031 at the earliest. A recent project in Japan flipped that notion on its head. The West Japan Railway Company, also known as JR West, replaced an entire station with 3D-printed prefabricated pieces in under three hours last week. The company also claims the construction costs were half that of reinforced concrete.

JR West used this new construction method to replace Hatsushima Station, a small wooden station built in 1949 and served less than 400 passengers per day. The company waited for an overnight lull in the schedule, then quickly sent its workers into action. The new station was pieced together with four hallow 3D-printed mortar pieces, according to the Japan Times. At the work site, the pieces were filled with rebar and concrete to provide the same earthquake resistance as traditionally built stations. Despite the blazing fast construction time, JR West aims to open the new station in July.

This talk by Professor Thomas Polger (Professor of Philosophy at the Department of Philosophy University of Cincinnati) was given on Thursday 24 March 2022 as part of the Dutch Distinguished Lecture Series in Philosophy and Neuroscience (#DDLS).

Title:
Thomas Polger “The Puzzling Resilience of Multiple Realization” (#DDLS).

Caption.

Abstract.

According to the multiple realization argument, mental states or processes can be realized in diverse and heterogeneous physical systems; and that fact implies that mental states or processes can not be identified with any one particular kind of physical state or process. In particular, mental processes can not be identified with of brain processes. Moreover, the argument provides a general model for the autonomy of the “special” sciences. The multiple realization argument is widely influential. But over the last thirty years it has also faced serious objections. Despite those objections, most philosophers regard that fact of multiple realization and the cogency of the multiple realization argument as obviously correct. Why is that? What is it about the multiple realization argument that makes it so resilient? One reason that the multiple realization argument is deeply intertwined with a view that minds are, in some sense, computational. But I argue that the sense in which minds are computational does not support the conclusion that they are obviously multiply realized. I argue that the sense in which brains compute does not imply that brains implement computational processes that are multiply realizable, and it does not provide a general model for the autonomy of the special sciences.

The mind is a lot like a computer — but what if this metaphor was more than just a metaphor? According to the philosopher Andy Clark, human minds aren’t just like computers, human minds are computers! In this video, we’ll get into the consequences of this seemingly radical framework and what it means for cognitive science as a whole.

0:00 — Intro.
1:09 — The conceivability argument.
2:17 — Behaviorism revisited.
5:14 — Identity theory.
7:54 — Functionalism revisited.
8:56 — Computational theory of mind.
12:09 — Formal systems.
13:26 — Games.
15:20 — Language.
17:19 — Wrapping up.
18:55 — Key concepts.

A revolution is underway in gene editing—and at its forefront is David Liu, an American molecular biologist whose pioneering work is rewriting the building blocks of life with unprecedented precision.

A professor at the Broad Institute of MIT and Harvard, Liu was awarded a Breakthrough Prize in Life Sciences on Saturday for developing two transformative technologies: one already improving the lives of patients with severe genetic diseases, the other poised to reshape medicine in the years ahead.

He spoke with AFP ahead of the Los Angeles ceremony for the prestigious Silicon Valley-founded award.

The Gefion AI Supercomputer (GAIS) project, which delivers Denmark’s first artificial intelligence (AI) turbo-charged supercomputer, has positioned Denmark as the most advanced of the Nordic region’s quantum computing investing nations.

It also serves to accelerate the use of AI to drive innovation across Denmark’s business and industrial sectors.

Built on the Nvidia DGX SuperPOD AI supercomputer, GAIS is powered by 1,528 Nvidia H100 Tensor Core graphics processing units (GPUs) and interconnected using Nvidia Quantum-2 InfiniBand networking.