Mounting evidence suggests that humans may have the biological hardware to benefit from some aspects of hibernation. Switching on these mechanisms could treat cardiac arrest, boost longevity and help people travel further into space.
Category: biological – Page 111
Between 1928 and 1991, the Soviet Union operated the largest biological weapons program in history. What does it look like today?
Michael Levin is a developmental and synthetic biologist at Tufts University, where he is the Vannevar Bush Distinguished Professor of biology. He is a director of the Allen Discovery Center, director at the Tufts Center for Regenerative and Developmental Biology, and principal investigator at the Levin Lab.
0:00 intro.
1:38 bioelectricity and developmental biology.
7:56 memory and conditioning in GRNs.
11:50 is there a privileged cognitive substrate?
13:55 Godel type limits.
15:45 multi-scale competency architecture.
25:12 intelligence.
27:00 conceptual framework for cognition.
29:45 does cognition bottom out somewhere?
36:47 synthetic cognition.
39:23 sci-fi that captures this well.
45:16 consciousness, hard problem, and the consciousness of development.
51:09 where does the self come from?
54:06 how do different emergent levels interact.
56:50 top-down causality.
1:02:28 where do goals come from?
1:07:06 balancing conceptual and empirical work.
Michael Levin’s Website:
https://ase.tufts.edu/biology/labs/levin/
Podcast.
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A paradigm shift in how we think about the functions of the human brain. A long-awaited genetic sequence of Rafflesia arnoldii, the strangest flower in the world. A revelation in sleep science. These are some of the year’s biggest discoveries in neuroscience and other areas of biology. Read the articles in full at Quanta: https://www.quantamagazine.org/the-year-in-biology-20211221/
Quanta Magazine is an editorially independent publication supported by the Simons Foundation.
face_with_colon_three circa 2021.
Think about where our energy comes from: drilling rigs and smokestacks, windmills and solar panels. Lithium-ion battery packs might even come to mind.
We probably don’t think about the farms that comprise over one-third of Earth’s total land area. But farms can also be an energy source. Barcelona-based battery company Bioo is generating electricity from the organic matter in soil and creating biological batteries that can power agricultural sensors, a growing 1.36 billion dollar global market.
Bioo’s tech eliminates the need for single-use chemical batteries, which have to be replaced frequently. The company will work with large players such as Bayer Crop Science to pilot its sensor tech on farms, while also experimenting with using bio-batteries to power lighting installations. Eventually, Bioo envisions a future where biology may even help power our largest cities.
What we know about Venus so far has been gathered from several past probes.
With a slightly smaller diameter than Earth, Venus orbits closer to the Sun. This means that any water on the surface would have evaporated shortly after its formation, starting its greenhouse effect. Early and sustained volcanic eruptions created lava plains and increased the carbon dioxide in the atmosphere — starting the runaway greenhouse effect, which increased the temperature from just a little higher than Earth’s to its current high value of 475°C.
While Venus’s year is shorter than ours (225 days), its rotation is very slow (243 days) and “retrograde” — the other way round to Earth. The slow rotation is related to a lack of magnetic field, resulting in a continuing loss of atmosphere. Venus’ atmosphere “super-rotates” faster than the planet itself. Images from many missions show V-shaped patterns of clouds composed of sulphuric acid droplets.
Despite the harsh conditions, some scientists have speculated that Venus’ clouds might, at some altitudes, harbor habitable conditions. Recent measurements showing phosphine — a potential sign of life as it is continuously produced by microbes on Earth — in Venus’ clouds have been strongly debated. We need more measurements and exploration to work out where it comes from.
Researchers have reported a nano-sized neuromorphic memory device that emulates neurons and synapses simultaneously in a unit cell, another step toward completing the goal of neuromorphic computing designed to rigorously mimic the human brain with semiconductor devices.
Neuromorphic computing aims to realize artificial intelligence (AI) by mimicking the mechanisms of neurons and synapses that make up the human brain. Inspired by the cognitive functions of the human brain that current computers cannot provide, neuromorphic devices have been widely investigated. However, current Complementary Metal-Oxide Semiconductor (CMOS)-based neuromorphic circuits simply connect artificial neurons and synapses without synergistic interactions, and the concomitant implementation of neurons and synapses still remains a challenge. To address these issues, a research team led by Professor Keon Jae Lee from the Department of Materials Science and Engineering implemented the biological working mechanisms of humans by introducing the neuron-synapse interactions in a single memory cell, rather than the conventional approach of electrically connecting artificial neuronal and synaptic devices.
Similar to commercial graphics cards, the artificial synaptic devices previously studied often used to accelerate parallel computations, which shows clear differences from the operational mechanisms of the human brain. The research team implemented the synergistic interactions between neurons and synapses in the neuromorphic memory device, emulating the mechanisms of the biological neural network. In addition, the developed neuromorphic device can replace complex CMOS neuron circuits with a single device, providing high scalability and cost efficiency.
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Free Video Series: Open Questions in AI and Neuroscience:
Show notes: https://braininspired.co/podcast/103/
Randal, Ken, and I discuss a host of topics around the future goal of uploading our minds into non-brain systems, to continue our mental lives and expand our range of experiences. The basic requirement for such a subtrate-independent mind is to implement whole brain emulation. We discuss two basic approaches to whole brain emulation. The “scan and copy” approach proposes we somehow scan the entire structure of our brains (at whatever scale is necessary) and store that scan until some future date when we have figured out how to us that information to build a substrate that can house your mind. The “gradual replacement” approach proposes we slowly replace parts of the brain with functioning alternative machines, eventually replacing the entire brain with non-biological material and yet retaining a functioning mind.
Randal and Ken are neuroscientists who understand the magnitude and challenges of a massive project like mind uploading, who also understand what we can do right now, with current technology, to advance toward that lofty goal, and who are thoughtful about what steps we need to take to enable further advancements.
Timestamps.
0:00 — Intro.
6:14 — What Ken wants.
11:22 — What Randal wants.
22:29 — Brain preservation.
27:18 — Aldehyde stabilized cryopreservation.
31:51 — Scan and copy vs. gradual replacement.
38:25 — Building a roadmap.
49:45 — Limits of current experimental paradigms.
53:51 — Our evolved brains.
1:06:58 — Counterarguments.
1:10:31 — Animal models for whole brain emulation.
1:15:01 — Understanding vs. emulating brains.
1:22:37 — Current challenges.
The oldest three-dimensional green algae fossil ever found dates back more than half a billion years and may reveal that plants are older than believed.
The future of neural network computing could be a little soggier than we were expecting.
A team of physicists has successfully developed an ionic circuit – a processor based on the movements of charged atoms and molecules in an aqueous solution, rather than electrons in a solid semiconductor.
Since this is closer to the way the brain transports information, they say, their device could be the next step forward in brain-like computing.