Transumanismul, viitoarea etapa a civilizatiei umane

de ce copiile sint defecte? esti sigur de ce afirmi?

Eh, nu ... imi dau si eu cu parerea la ghiceala ca multi pe aici.

n-ai prea ghicit, ai fost neinspirat sau n-ai gindit. daca copiile sint tot mai defectuoase de ce respectiva degenerare fizica nu se petrece direct de la nastere, de ce fenomenul incepe doar dupa maturizare?

de ce copiile sint defecte? esti sigur de ce afirmi?

Probabil se refera la link.

Ia fa un copil la 20 de ani si unul la 40 si vezi care sunt sansele ca al doilea sa vorbeasca cu peretii.

Researchers at Michigan Technological University are working on building replacement nerves using 3D bioprinting techniques. Even though still in the early stages, the team has already developed polymer materials that can serve as a scaffold for growing tissues and is working on integrating graphene as the electrical conductor. The combination of the materials can lead to the assembly of functional, high complexity nerve tissue that would then be transplanted into patients.

n-ai prea ghicit, ai fost neinspirat sau n-ai gindit. daca copiile sint tot mai defectuoase de ce respectiva degenerare fizica nu se petrece direct de la nastere, de ce fenomenul incepe doar dupa maturizare?

Researchers at the MicroNano Research Facility (MNRF) have built the one of the world’s first electronic multi-state memory cell which mirrors the brain’s ability to simultaneously process and store multiple strands of information.
Project leader Dr Sharath Sriram, co-leader of the RMIT Functional Materials and Microsystems Research Group, said the ground-breaking development imitates the way the brain uses long-term memory.
“This is the closest we have come to creating a brain-like system with memory that learns and stores analog information and is quick at retrieving this stored information,” Dr Sharath said.
“The human brain is an extremely complex analog computer… its evolution is based on its previous experiences, and up until now this functionality has not been able to be adequately reproduced with digital technology.”
The ability to create highly dense and ultra-fast analog memory cells paves the way for imitating highly sophisticated biological neural networks, he said.

A brain implant that can decode what someone wants to do has allowed a man paralysed from the neck down to control a robotic arm with unprecedented fluidity – and enjoy a beer at his own pace.
Erik Sorto was left unable to move any of his limbs after an accident severed his spinal cord 12 years ago.
People with similar injuries have previously controlled prosthetic limbs using implants placed in their motor cortex – an area of the brain responsible for the mechanics of movement. This is far from ideal because it results in delayed, jerky motions as the person thinks about all the individual aspects of the movement. When reaching for a drink, for example, they would have to think about moving their arm forward, then left, then opening their hand, then closing their hand around the cup and so on.
Richard Andersen at the California Institute of Technology in Pasadena and his colleagues hoped they could achieve a more fluid movement by placing an implant in the posterior parietal cortex – a part of the brain involved in planning motor movements.
"We thought this would allow us to decode brain activity associated with the overall goal of a movement – for example, 'I want to pick up that cup', rather than the individual components," said Anderson at the NeuroGaming Conference in San Francisco, California, where he presented the work this month.

In the latest step towards transplantable bioengineered parts, researchers have built rat forelimb tissue – complete with working blood vessels and muscle fibers – in the lab. After they transplanted the biolimb into a recipient rat, the blood vessels filled with circulating blood, and the muscles even flexed the rat’s wrists and the joints in its paws.
For people who have lost a limb, transplants could help to improve the quality of life. But this also means having to take immunosuppressant drugs so that their bodies don’t attack the donated parts. That’s why a lot research has focused on using the patients’ own stem cells to regenerate their own replacement tissues, but what’s been missing so far is the scaffold (or matrix) to provide shape and support for growing cells as they become the complex tissues that make up a limb.
So, a team led by Massachusetts General Hospital’s Harald Ott tried stripping away cells from an existing rat forelimb and then repopulating the remaining matrix with progenitor cells. This decellularization technique has previously been used to build bioartificial organs like kidneys, livers, hearts, and lungs in animals, but engineering tissues for a bioartifical limb is a different kind of task.

The new synapse created by the team requires just 1.23 femtojoules per event—far lower than anything achieved thus far, and on par with their natural rival. Though it might seem the artificial creations are using less power, they do not perform the same functions just yet, so natural biology is still ahead. Plus there is the issue of transferring information from one neuron to another. The "wires" used by the human body are still much thinner than the metal kind still being used by scientists—still, researchers are gaining.
As part of this latest effort, the team placed 144 of their artificial synapses on a 4 inch wafer and connected them together in a two dimensional mesh with wires that were just 200 to 300 nanometers on average. The idea was to test the possibility of causing the synapses to fire (open or close) based on information coming from a wire, or being sent from other artificial neurons. Each synapse mimicked the natural kind in shape as well—they were long and thin and were made of two types of organic material that allowed for holding or releasing ions.
The new artificial synapses are one more step on the road towards a computer that works in ways very similar to the human brain, and most believe if we ever get there, the machines we create will be far more powerful than anything nature has ever produced.

...fara sa faca defapt copii fidele...
Doar entaglementul cuantic poate sa ne rezolve mutarea fara copiere.

Ha? Tu nu vezi ca te contrazici singur? Tocmai ca entaglementul cuantic face copii si nu vad cum poate functiona intr-un sistem complex precum creierul uman cand abia reusim sa il reproducem in conditii de izolare extrema. Chiar daca ar fi posibil, o sa ai un sistem `original` si o copie perfecta. Acum, pe care o pastrezi pentru ca ambele sunt perfect identice? Originalul se simte el ca fiind el insusi, adica Popescu, iar copia se simte ca fiind el insusi Popescu. Care dintre ele este cel adevarat" si cum stabilesti ale cui drepturi sunt superioare celuilalt?
Solutia este sa reproducem procesul natural prin tranzitionare treptata de pe un suport pe altul compatibil cu primul, integrand unul in altul, exact ceea ce se intampla cu fiintele umane in timpul vietii, doar ca este vorba de celule inlocuind alte celule biologice.
Nici o copie ... nici un risc de a pierde informatie ... nici o problema legala sau morala.

Pai eu stiam ca deobicei neuronii si cam tot ce tine de creier nu prea se schimba, nu sunt inlocuiti de alti neuroni noi dealungul vietii, altfel am fi toti niste clone ambulante, dar cel mai grav ar fi ca ceilalti nu si-ar da seama, desi la inlocuirea neuronilor ar trebui sa apara efecte vizibile

Inspired by the way the biological brain functions, scientists have theorized for decades that it should be possible to imitate the versatile computational capabilities of large populations of neurons. However, doing so at densities and with a power budget that would be comparable to those seen in biology has been a significant challenge, until now.
"We have been researching phase-change materials for memory applications for over a decade, and our progress in the past 24 months has been remarkable," said IBM Fellow Evangelos Eleftheriou. "In this period, we have discovered and published new memory techniques, including projected memory, stored 3 bits per cell in phase-change memory for the first time, and now are demonstrating the powerful capabilities of phase-change-based artificial neurons, which can perform various computational primitives such as data-correlation detection and unsupervised learning at high speeds using very little energy."
The artificial neurons designed by IBM scientists in Zurich consist of phase-change materials, including germanium antimony telluride, which exhibit two stable states, an amorphous one (without a clearly defined structure) and a crystalline one (with structure). These materials are the basis of re-writable Blu-ray discs. However, the artificial neurons do not store digital information; they are analog, just like the synapses and neurons in our biological brain.
IBM scientists have organized hundreds of artificial neurons into populations and used them to represent fast and complex signals. Moreover, the artificial neurons have been shown to sustain billions of switching cycles, which would correspond to multiple years of operation at an update frequency of 100 Hz. The energy required for each neuron update was less than five picojoule and the average power less than 120 microwatts—for comparison, 60 million microwatts power a 60 watt lightbulb.