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Category: biological – Page 144

Universal Consciousness | Part IV of Consciousness: Evolution of the Mind (2021) Documentary

There’s only one Universal Consciousness, we individualize our conscious awareness through the filter of our nervous system, our “local” mind, our very inner subjectivity, but consciousness itself, the Self in a greater sense, our “core” self is universal, and knowing it through experience has been called enlightenment, illumination, awakening, or transcendence, through the ages.

Here’s Consciousness: Evolution of the Mind (2021), Part IV: UNIVERSAL CONSCIOUSNESS

*Subscribe to our channel to catch premiering further installments of the documentary on YouTube! This film is to be released on YouTube in parts.

OR, watch the documentary in its entirety on Vimeo on demand: https://vimeo.com/ondemand/339083

And on TUBI — free (with ads): https://tubitv.com/movies/613341/consciousness-evolution-of-the-mind.

IMDb-accredited film, rated TV-PG Director: Alex Vikoulov Narrator: Forrest Hansen Copyright 2021 Ecstadelic Media Group, Burlingame, California, USA

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Artificial neurons connect to biological ones to control living plants

Nature is a never-ending source of inspiration for scientists, but our artificial devices usually don’t communicate well with the real thing. Now, researchers at Linköping University have created artificial organic neurons and synapses that can integrate with natural biological systems, and demonstrated this by making a Venus flytrap close on demand.

The new artificial neurons build on the team’s earlier versions, which were organic electrochemical circuits printed onto thin plastic film. Since they’re made out of polymers that can conduct either positive or negative ions, these circuits form the basis of transistors. In the new study, the team optimized these transistors and used them to build artificial neurons and synapses, and connect them to biological systems.

When the transistors detect concentrations of ions with certain charges, they switch, producing a signal that can then be picked up by other neurons. Importantly, biological neurons operate on these same ion signals, meaning artificial and natural nerve cells can be connected.

Scientists successfully connect ‘artificial neuron’ to biological cells in major step

🚨 A major breakthrough.

Scientists have successfully implanted an artificial neuron into a Venus Flytrap, in what could be a major breakthrough in the merging of living things and computers.

The neuron was able to control the plant, making its lobes close, the scientists report.

That in turn could be a major step towards the development of brain-machine interfaces as well as intelligent robots, they suggest. Such technology will require computers and living things to combine – but that has so far proven difficult.

Biotracking, Age Reversal & Other Advanced Health Technologies | Lifespan with Dr. David Sinclair #8

No he does not respond to the resveratrol challenges. Important here are the chapters concerning Resetting the Ageing Clock and Repeatable Ageing Reversal.

In the final episode of this season, Dr. David Sinclair and Matthew LaPlante focus on current and near-future technologies relevant to health and aging. In addition to discussing the utility of wearable sensors and biological age measurements, they highlight innovative research aimed at reversing biological age. The societal effects of therapies that successfully extend healthspan and/or lifespan are also considered.

#DavidSinclair #Longevity #Aging.

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Researchers use magnetic systems to artificially reproduce the learning and forgetting functions of the brain

With the advent of Big Data, current computational architectures are proving to be insufficient. Difficulties in decreasing transistors’ size, large power consumption and limited operating speeds make neuromorphic computing a promising alternative.

Neuromorphic computing, a new brain-inspired computation paradigm, reproduces the activity of biological synapses by using artificial neural networks. Such devices work as a system of switches, so that the ON position corresponds to the information retention or “learning,” while the OFF position corresponds to the information deletion or “forgetting.”

In a recent publication, scientists from the Universitat Autònoma de Barcelona (UAB), the CNR-SPIN (Italy), the Catalan Institute of Nanoscience and Nanotechnology (ICN2), the Institute of Micro and Nanotechnology (IMN-CNM-CSIC) and the ALBA Synchrotron have explored the emulation of artificial synapses using new advanced material devices. The project was led by Serra Húnter Fellow Enric Menéndez and ICREA researcher Jordi Sort, both at the Department of Physics of the UAB, and is part of Sofia Martins Ph.D. thesis.

“Self-Destruct” Switches Engineered Into GM Microbes

Tae Seok Moon, associate professor of energy, environmental and chemical engineering at the McKelvey School of Engineering at Washington University in St. Louis, has taken a big step forward in his quest to design a modular, genetically engineered kill switch that integrates into any genetically engineered microbe, causing it to self-destruct under certain defined conditions.

His research was published Feb. 3 in the journal Nature Communications.

Moon’s lab understands microbes in a way that only engineers would, as systems made up of sensors, circuits and actuators. These are the components that allow microbes to sense the world around them, interpret it and then act on the interpretation.

New catalysts steer hydrogen fuel cells into mainstream

Cornell chemists have discovered a class of nonprecious metal derivatives that can catalyze fuel cell reactions about as well as platinum, at a fraction of the cost.

This finding brings closer a future where fuel cells efficiently power cars, generators and even spacecraft with minimal greenhouse gas emissions.

“These less expensive metals will enable wider deployment of hydrogen fuel cells,” said Héctor D. Abruña, the Émile M. Chamot Professor in the Department of Chemistry and Chemical Biology in the College of Arts and Sciences. “They will push us away from and toward .”

Using algorithms to discover new mathematics

Fundamental constants like e and π are ubiquitous in diverse fields of science, including physics, biology, chemistry, geometry, and abstract mathematics. Nevertheless, for centuries new mathematical formulas relating fundamental constants are scarce and are usually discovered sporadically by mathematical intuition or ingenuity.

Our algorithms search for new mathematical formulas. The community can suggest proofs for the conjectures or even propose or develop new algorithms. Any new conjecture, proof, or algorithm suggested will be named after you.