First “decadal survey” into biological physics says further advances can only emerge in the subject with additional investment.
Category: biological – Page 113
Techniques from computer science may help explain the tendency in biology for structures to repeat themselves.
Artificial intelligence could help humanity solve many of the global issues in a positive way. See more about what AI-powered algorithms can do when influenced by human abuse.
Research On Humans Adapting, Living & Working In Space — Colonel (ret) Dr. Samantha Weeks, Ph.D., Polaris Dawn, Science & Research Director
Colonel (ret) Dr. Samantha “Combo” Weeks, Ph.D. is the Science & Research Director, of the Polaris Dawn Program (https://polarisprogram.com/dawn/), a planned private human spaceflight mission, operated by SpaceX on behalf of Shift4 Payments CEO Jared Isaacman, planned to launch using the Crew Dragon capsule.
Polaris Dawn is the first of three planned missions in the Polaris Program (https://polarisprogram.com/), which endeavors to rapidly advance human spaceflight capabilities by demonstrating new technologies and conducting extensive scientific research to expand our knowledge of humans adapting, living and working in space. Much of this research also has purpose and applicability to improve life here on Earth.
This disparity gets at the difference between one’s chronological age — how old they are in years — and their biological age, which is how their body has aged naturally and in response to its environment. The two can diverge in ways that are either blessings or curses. Hence why those who grow up under extreme stress or in polluted environments may look much older than they actually are.
And yellow-bellied marmots can tell us something about these two ages.
Yellow-bellied marmots (Marmota flaviventer) are no burrow-dwelling meteorologists like the groundhog. They may sound craven, but these quirky critters, also known as whistle pigs, make for fascinating subjects: the cat-sized rodents have a longer lifespan than expected for a mammal of their size. On average, marmots live 15 years.
An is an external information processing system that augments the brain’s biological high-level cognitive processes.
An individual’s would be comprised of external memory modules 0, processors 0, IO devices and software systems that would interact with, and augment, a person’s biological brain. Typically this interaction is described as being conducted through a direct brain-computer interface 0, making these extensions functionally part of the individual’s mind.
Individuals with significant exocortices can be classified as transhuman beings.
This video covers the world in 2,300 and its future technologies. Watch this next video about the world in 2200: https://bit.ly/3htaWEr.
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SOURCES:
• https://www.futuretimeline.net.
• The Future of Humanity (Michio Kaku): https://amzn.to/3Gz8ffA
• The Singularity Is Near: When Humans Transcend Biology (Ray Kurzweil): https://amzn.to/3ftOhXI
• Physics of the Future (Michio Kaku): https://amzn.to/33NP7f7
• https://science.howstuffworks.com/science-vs-myth/everyday-m…tation.htm.
Patreon Page: https://www.patreon.com/futurebusinesstech.
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💡 On this channel, I explain the following concepts:
Multifunctional and diverse artificial neural systems can incorporate multimodal plasticity, memory and supervised learning functions to assist neuromorphic computation. In a new report, Jinran Yu and a research team in nanoenergy, nanoscience and materials science in China and the US., presented a bioinspired mechano-photonic artificial synapse with synergistic mechanical and optical plasticity. The team used an optoelectronic transistor made of graphene/molybdenum disulphide (MoS2) heterostructure and an integrated triboelectric nanogenerator to compose the artificial synapse. They controlled the charge transfer/exchange in the heterostructure with triboelectric potential and modulated the optoelectronic synapse behaviors readily, including postsynaptic photocurrents, photosensitivity and photoconductivity. The mechano-photonic artificial synapse is a promising implementation to mimic the complex biological nervous system and promote the development of interactive artificial intelligence. The work is now published on Science Advances.
Brain-inspired neural networks.
The human brain can integrate cognition, learning and memory tasks via auditory, visual, olfactory and somatosensory interactions. This process is difficult to be mimicked using conventional von Neumann architectures that require additional sophisticated functions. Brain-inspired neural networks are made of various synaptic devices to transmit information and process using the synaptic weight. Emerging photonic synapse combine the optical and electric neuromorphic modulation and computation to offer a favorable option with high bandwidth, fast speed and low cross-talk to significantly reduce power consumption. Biomechanical motions including touch, eye blinking and arm waving are other ubiquitous triggers or interactive signals to operate electronics during artificial synapse plasticization. In this work, Yu et al. presented a mechano-photonic artificial synapse with synergistic mechanical and optical plasticity.
The human brain, fed on just the calorie input of a modest diet, easily outperforms state-of-the-art supercomputers powered by full-scale station energy inputs. The difference stems from the multiple states of brain processes versus the two binary states of digital processors, as well as the ability to store information without power consumption—non-volatile memory. These inefficiencies in today’s conventional computers have prompted great interest in developing synthetic synapses for use in computers that can mimic the way the brain works. Now, researchers at King’s College London, UK, report in ACS Nano Letters an array of nanorod devices that mimic the brain more closely than ever before. The devices may find applications in artificial neural networks.
Efforts to emulate biological synapses have revolved around types of memristors with different resistance states that act like memory. However, unlike the brain the devices reported so far have all needed a reverse polarity electrical voltage to reset them to the initial state. “In the brain a change in the chemical environment changes the output,” explains Anatoly Zayats, a professor at King’s College London who led the team behind the recent results. The King’s College London researchers have now been able to demonstrate this brain-like behavior in their synaptic synapses as well.
Zayats and team build an array of gold nanorods topped with a polymer junction (poly-L-histidine, PLH) to a metal contact. Either light or an electrical voltage can excite plasmons—collective oscillations of electrons. The plasmons release hot electrons into the PLH, gradually changing the chemistry of the polymer, and hence changing it to have different levels of conductivity or light emissivity. How the polymer changes depends on whether oxygen or hydrogen surrounds it. A chemically inert nitrogen chemical environment will preserve the state without any energy input required so that it acts as non-volatile memory.
