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The July issue of Scientific American magazine has a terrific review of the Voyager space mission that details the trips Voyagers 1 and 2 have made through the Solar System. The article is titled “Record-Breaking Voyager Spacecraft Begin to Power Down.” Both spacecraft have now entered interstellar space and are the first human artifacts to do so. Tim Folger wrote the article for Scientific American. Towards the end of the article, Folger points out that Voyagers 1 and 2 were designed before the advent of the microprocessor and that the mission has lasted 44 years, so far, which is about 40 years longer than the planned design life for the spacecraft.

The article then quotes Stamatios Krimigis, a PhD physicist and space scientist who’s spent more than half a century at the Johns Hopkins Applied Physics Laboratory. Krimigis says, “The amount of software on these instruments is slim to none. On the whole, I think the mission lasted so long because almost everything was hardwired. Today’s engineers don’t know how to do this. I don’t know if it’s even possible to build such a simple spacecraft [now]. Voyager is the last of its kind.”

Now hold on there.

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This week our guest academic philosopher, Susan Schneider, who is the founding director for the Center for the Future Mind at Florida Atlantic University, as well as the author of the 2019 book, Artificial You: AI and the Future of Your Mind. In this episode we focus heavily on Susan’s thoughts, hopes, and concerns surrounding the current conversations regarding artificial intelligence. This includes, but is certainly not limited to, the philosophical and ethical questions that AI presents in general, the feasibility of mind uploading and machine consciousness, the ways we may end up outsourcing our decision making to machines, how we might merge with machines, and how these potential tech futures might impact identity and sense of self. You can learn more about Susan at schneiderwebsite.com, and find out how to get involved with her work at fau.edu/future-mind ** Host: Steven Parton — LinkedIn / Twitter Music by: Amine el Filali.

41 MINS

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To grow a building at jerusalem design week 2022 For Jerusalem Design Week 2022, the 11th edition of Israel’s foremost annual design event, a group of designers took to Hansen House to present ‘To Grow a Building’, an outdoor performative lab that imagined the possibility of a world in which


Jerusalem design week 2022 presents ‘to grow a building’, a performative lab that imagines a 3D printed organic architecture.

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Molecular computing is a promising area of study aimed at using biological molecules to create programmable devices. This idea was first introduced in the mid-1990s and has since been realized by several computer scientists and physicists worldwide.

Researchers at East China Normal University and Shanghai Jiao Tong University have recently developed molecular convolutional (CNNs) based on synthetic DNA regulatory circuits. Their approach, introduced in a paper published in Nature Machine Intelligence, overcomes some of the challenges typically encountered when creating efficient artificial neural networks based on molecular components.

“The intersection of computer science and is a fertile ground for new and exciting science, especially the design of intelligent systems is a longstanding goal for scientists,” Hao Pei, one of the researchers who carried out the study, told TechXplore. “Compared to the brain, the scale and computing power of developed DNA neural networks are severely limited, due to the size limitations. The primary objective of our work was to scale up the computing power of DNA circuits by introducing a suitable model for DNA molecular systems.”

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