Why hasn't the Singularity gone mainstream (yet?) (controller, power, infrared)

[Josseppie]

I have been asked about how tiny robots will move insiude us. Well there is a article that talks about how they are doing that now in 2014 so I decidded to post it. As I have posted by 2030 computers the size of blood cells willl have thousands of times more processing capability then all of NASA in the 1960's.

This is from Science Daily:

Jan. 17, 2014 — The alien world of aquatic micro-organisms just got new residents: synthetic self-propelled swimming bio-bots.A team of engineers has developed a class of tiny bio-hybrid machines that swim like sperm, the first synthetic structures that can traverse the viscous fluids of biological environments on their own. Led by Taher Saif, the University of Illinois Gutgsell Professor of mechanical science and engineering, the team published its work in the journal Nature Communications. "Micro-organisms have a whole world that we only glimpse through the microscope," Saif said. "This is the first time that an engineered system has reached this underworld."

The link: Tiny swimming bio-bots boldly go where no bot has swum before

[Josseppie]

The definition of the singularity is when humans merge with computers enough to change life dramatically. Well there are already examples of humans merging with computers today becoming "cyborgs". Not enough to call this the singularity or even the pre-singularity but this is only 2014 so as computers advance exponentially it will happen in the next 10-15 years.

Here is yet another example of how it is changing life today.

This is from BBC:

Listen: What does red or green sound like? In the clip above from BBC Radio 4’s Hack My Hearing, Frank Swain meets an artist who created a unique device allowing him to hear colours.

Last year I became a cyborg. At the time it didn’t seem like an auspicious occasion, more a humbling and disorientating experience. But I’ve become excited about being part-robot.

The link: BBC - Future - Technology - Beyond human: How I became a cyborg

[Josseppie]

Here is another example of computers merging with humans.


Prosthetic limbs that users control with their minds aren’t yet widely available, but several have been shown to work. Soldiers returning from the wars in Iraq and Afghanistan have made amputeeism a much more prevalent disability, and one with enough funding to drive innovative solutions.

Those who are paralyzed have remained more difficult to help because human nerves and muscles require more intricate forms of control than the simplified prosthetic devices.

A video:



The link: Wireless Brain Implant Aims To Give Paralyzed Power Over Their Limbs | Singularity Hub

[Josseppie]

Here is a article that basically describes what will happen in the next 40 years. It, also, goes into what will happen by the 2030's which is why I argue the singularity will start by 2030. Overall this is a nice read because its short and gets to the point.

This is from IEET:

Building machines that process information the same way a brain does has been a dream for over 50 years. Artificial intelligence, fuzzy logic, and neural networks have all experienced some degrees of success, but machines still cannot recognize pictures or understand language as well as humans can.

Despite the many false starts though, recent advances in making computers work like the human brain have pointed the way to a new era in artificial intelligence. Breakthroughs in deep learning, a process that imitates the brain with digital neural networks that gather information and react to it independently, have prompted the world's high-tech leaders to invest billions in this latest AI technology.

The link: Creating sentient machines with ‘deep learning’ AI technology

[Josseppie]

I will watch the video tonight but this is exactly what I talk about as technology gets smaller and smaller towards the singularity.

This is from World Science Festival:

Pills the size of molecules to seek and destroy tumors. Miniscule robots performing surgery inside patients with a precision never before achieved. Nanobots, a billionth of a meter across, fixing mutations in DNA, or repairing neurons in your brain. Such are the possibilities as medicine enters the nano-era. Join leading researchers who are pushing these frontiers, to learn of new cures in the coming nano-revolution and possible risks of the molecular E.R.

This program was part of “The Big, the Small, and the Complex,” a series exploring the latest developments in Astrophysics, Nanoscience, and Neuroscience—fields recognized by The Kavli Prize. Sponsored by The Kavli Foundation, the Norwegian Academy of Science and Letters, and the Royal Norwegian Consulate General.

The link: Cellular Surgeons:* The New Era of Nanomedicine | World Science Festival

[Josseppie]

More insights on what we will see in the next 20-30 years.

If nanotechnology continues to advance as experts expect, within 30 years it could give us ‘superhuman’ abilities. For example, we could survive for hours without needing to breathe.

We are already seeing the effects of Phase 1 of the Nanotechnology Revolution. It is supplying new super strong materials such as Graphene, it is providing next-gen waterproofing, super efficient water purification, and advanced battery power.

The link: Nanotechnology will create Superhumans within 30 years

[Josseppie]

I have posted that we will have reverse aging by the mid 2020's and here is more proof that it is closer then many people realize.

This is from Science Daily:

Researchers have pinpointed why normal aging is accompanied by a diminished ability to regain strength and mobility after muscle injury: over time, stem cells within muscle tissues dedicated to repairing damage become less able to generate new muscle fibers and struggle to self-renew. Scientists identified for the first time a process by which the older muscle stem cell populations can be rejuvenated to function like younger cells.

The link: Researchers rejuvenate stem cell population from elderly mice, enabling muscle recovery -- ScienceDaily

[Josseppie]

As robots become more mainstream and advanced they are already talking about the rules we will need to have.


This is from PBS:

As technology speeds forward, humans are beginning to imagine the day when robots will fill the roles promised to us in science fiction. But what should we be thinking about TODAY, as robots like military and delivery drones become a real part of our society? How should robots be programmed to interact with us? How should we treat robots? And who is responsible for a robot's actions? As we look at the unexpected impact of new technologies, we are obligated as a society to consider the moral and ethical implications of robotics.

[Josseppie]

There are now 7 billion smart phones in the world and this shows how are are using new technology faster and faster.

The adoption of new technologies is accelerating, and nowhere is the trend more obvious than in mobile computing. It took telephones some 45 years to enter mainstream use in the US. Mobile phones took seven years. Smartphones just four.

Today, according to Cisco’s 2013 global mobile data forecast, there are almost as many mobile devices (7 billion) as there are humans on the planet, and the mobile data network in 2013 was 18 times greater than the entire Internet in 2000. In North America, monthly data usage doubled to 1.38 gigabytes.

The link: There Are 7 Billion Mobile Devices On Earth, Almost One For Each Person | Singularity Hub

[Josseppie]

One of the definitions of the singularity is when computes outperform unaided humans. Well here is another example of it happening today.

This is from Iso9:

Good news! A computer has solved the longstanding Erdős discrepancy problem! Trouble is, we have no idea what it's talking about — because the solution, which is as long as all of Wikipedia's pages combined, is far too voluminous for us puny humans to confirm.

A few years ago, the mathematician Steven Strogatz predicted that it wouldn't be too much longer before computer-assisted solutions to math problems will be beyond human comprehension. Well, we're pretty much there. In this case, it's an answer produced by a computer that was hammering away at the Erdős discrepancy problem.

The link: Computers are providing solutions to math problems that we can't check