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Prof. IRINA RISH — AGI, Complex Systems, Transhumanism #NeurIPS

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Irina Rish is a world-renowned professor of computer science and operations research at the Université de Montréal and a core member of the prestigious Mila organisation. She is a Canada CIFAR AI Chair and the Canadian Excellence Research Chair in Autonomous AI. Irina holds an MSc and PhD in AI from the University of California, Irvine as well as an MSc in Applied Mathematics from the Moscow Gubkin Institute. Her research focuses on machine learning, neural data analysis, and neuroscience-inspired AI. In particular, she is exploring continual lifelong learning, optimization algorithms for deep neural networks, sparse modelling and probabilistic inference, dialog generation, biologically plausible reinforcement learning, and dynamical systems approaches to brain imaging analysis. Prof. Rish holds 64 patents, has published over 80 research papers, several book chapters, three edited books, and a monograph on Sparse Modelling. She has served as a Senior Area Chair for NeurIPS and ICML. Irina’s research is focussed on taking us closer to the holy grail of Artificial General Intelligence. She continues to push the boundaries of machine learning, continually striving to make advancements in neuroscience-inspired AI.

In a conversation about artificial intelligence (AI), Irina and Tim discussed the idea of transhumanism and the potential for AI to improve human flourishing. Irina suggested that instead of looking at AI as something to be controlled and regulated, people should view it as a tool to augment human capabilities. She argued that attempting to create an AI that is smarter than humans is not the best approach, and that a hybrid of human and AI intelligence is much more beneficial. As an example, she mentioned how technology can be used as an extension of the human mind, to track mental states and improve self-understanding. Ultimately, Irina concluded that transhumanism is about having a symbiotic relationship with technology, which can have a positive effect on both parties.

Tim then discussed the contrasting types of intelligence and how this could lead to something interesting emerging from the combination. He brought up the Trolley Problem and how difficult moral quandaries could be programmed into an AI. Irina then referenced The Garden of Forking Paths, a story which explores the idea of how different paths in life can be taken and how decisions from the past can have an effect on the present.

To better understand AI and intelligence, Irina suggested looking at it from multiple perspectives and understanding the importance of complex systems science in programming and understanding dynamical systems. She discussed the work of Michael Levin, who is looking into reprogramming biological computers with chemical interventions, and Tim mentioned Alex Mordvinsev, who is looking into the self-healing and repair of these systems. Ultimately, Irina argued that the key to understanding AI and intelligence is to recognize the complexity of the systems and to create hybrid models of human and AI intelligence.

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Microscopic Animal Brought Back To Life After 24,000 Years Frozen In Siberian Permafrost

Tardigrades have competition in the realm of microscopic and incredibly sturdy beasties. Like tardigrades, Bdelloid rotifers can also survive drying, freezing, starving, and even low-oxygen conditions. Now, scientists report that they revived some of these rotifers after having been frozen in Siberian permafrost for at least 24,000 years.

The incredible observations are reported in the journal Current Biology. The researchers took samples of permafrost about 3.5 meters (11.5 feet) deep and slowly warmed the sample, which led to the resurrection of several microscopic organisms including these tiny little animals.

“Our report is the hardest proof as of today that multicellular animals could withstand tens of thousands of years in cryptobiosis, the state of almost completely arrested metabolism,” co-author Stas Malavin of the Soil Cryology Laboratory at the Institute of Physicochemical and Biological Problems in Soil Science in Pushchino, Russia, said in a statement.

Scientists Uncover a Gut-Brain Connection for Social Development

To learn to socialize, zebrafish need to trust their gut.

Gut microbes encourage specialized cells to prune back extra connections in brain circuits that control social behavior, new University of Oregon research in zebrafish shows. The pruning is essential for the development of normal social behavior.

The researchers also found that these ‘social’ neurons are similar in zebrafish and mice. That suggests the findings might translate between species — and could possibly point the way to treatments for a range of neurodevelopmental conditions.

Trillions of tiny, self-replicating satellites could unlock interstellar travel

Alpha Centauri, here we come.


However, while technology has indeed advanced a long way since the 1940s, it still seems like we are still a long way from having a fully functional von Neumann machine. That is unless you turn to biology. Even simple biological systems can perform absolutely mind-blowing feats of chemical synthesis. And there are few people in the world today who know that better than George Church. The geneticist from Harvard has been at the forefront of a revolution in the biological sciences over the last 30 years. Now, he’s published a new paper in Astrobiology musing about how biology could aid in creating a pico-scale system that could potentially explore other star systems at next to no cost.

“Pico-scale” in this context means weighing on the order of one pico-gram. Since the smallest operational satellite ever created so far weighed a mere 33 grams, scaling that down to 10–12 times that size might sound ambitious. But that’s precisely what biological systems could potentially do.

A typical bacteria weighs right around one pico-gram. And with sufficiently advanced genetic modification, bacteria can do anything from processing toxic waste to emitting light. Therefore, Dr. Church thinks they might make an excellent interstellar exploration tool.

New research reveals how the brain holds information in mind

MIT neuroscientists have published a key new insight on how working memory functions, in a study published in PLOS Computational Biology.

The researchers at The Picower Institute for Learning and Memory compared measurements of brain cell activity in an animal performing a working memory task with the output of various computer models representing two theories on the underlying mechanism for holding information in mind.

The results favored the newer theory that a network of neurons stores information by making short-lived changes in the connections, or synapses, between them, rather than the traditional theory that memory is maintained by neurons remaining persistently active.

Inside the $3bn mission to reverse signs of ageing

At first, Professor Wolf Reik couldn’t quite believe the data. The experiment had involved an attempt to “rejuvenate” skin cells taken from a 53-year-old volunteer.

The results were better than anybody had expected: having been bathed in a cocktail of proteins, the cells now looked and behaved like those from somebody in their early twenties.

As different measurements of “biological age” confirmed the findings, the molecular biologist’s scepticism gave way to excitement. “I was falling off my chair three times over,” Reik said.

Decoding nature’s masterful engineering using math

Logic gates in biology can be set up to lead to timing important biological events. How is this done?

Edit: at 4:00, not all pathways make use of this motif. This is just one way timing can happen in biology.

Created by Prompt Suathim (2nd year undergrad, Integrated Science, UBC)

Uri Alon’s Book:

Music:
City Life – Artificial. Music (No Copyright Music)
Link: https://www.youtube.com/watch?v=caT3j… ure Water by Meydän Link: https://youtu.be/BU85yzb0nMU Forever Sunrise — by Jonny Easton Link: https://youtu.be/9Xndx7nhGAs Softwares used: Manim CE Keynote Blender Molecular Nodes by @BradyJohnston Chapters: 0:00 Intro 1:00 A few issues to address 2:51 Nodes in Biology 3:23 Feed Forward Loop 4:11 Logic gates in biology 5:27 The math behind delays 9:15 How is flagella production controlled 11:06 Outtro.
Pure Water by Meydän.
Link: https://youtu.be/BU85yzb0nMU
Forever Sunrise — by Jonny Easton.
Link: https://youtu.be/9Xndx7nhGAs.

Softwares used:

Holly Moeller Finds Keys to Ecology in Cells That Steal

Nature, red in tooth and claw, is rife with organisms that eat their neighbors to get ahead. But in the systems studied by the theoretical ecologist Holly Moeller, an assistant professor of ecology, evolution and marine biology at the University of California, Santa Barbara, the consumed become part of the consumer in surprising ways.

Moeller primarily studies protists, a broad category of unicellular microorganisms like amoebas and paramecia that don’t fit within the familiar macroscopic categories of animals, plants and fungi. What most fascinates her is the ability of some protists to co-opt parts of the cells they prey upon. Armed with these still-functioning pieces of their prey, the protists can expand into new habitats and survive where they couldn’t before.

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