If we could trap light it could be used as a force field or even a lightsaber in future developments :3.
Quantum computers, which use light particles (photons) instead of electrons to transmit and process data, hold the promise of a new era of research in which the time needed to realize lifesaving drugs and new technologies will be significantly shortened. Photons are promising candidates for quantum computation because they can propagate across long distances without losing information, but when they are stored in matter they become fragile and susceptible to decoherence. Now researchers with the Photonics Initiative at the Advanced Science Research Center (ASRC) at The Graduate Center, CUNY have developed a new protocol for storing and releasing a single photon in an embedded eigenstate—a quantum state that is virtually unaffected by loss and decoherence. The novel protocol, detailed in the current issue of Optica, aims to advance the development of quantum computers.
“The goal is to store and release single photons on demand by simultaneously ensuring the stability of data,” said Andrea Alù, founding director of the ASRC Photonics Initiative and Einstein Professor of Physics at The Graduate Center. “Our work demonstrates that is possible to confine and preserve a single photon in an open cavity and have it remain there until it’s prompted by another photon to continue propagating.”
The research team used quantum electrodynamics techniques to develop their theory. They investigate a system composed of an atom and a cavity—the latter of which is partially open and therefore would normally allow light trapped in the system to leak out and be quickly lost. The research team showed, however, that under certain conditions destructive interference phenomena can prevent leakage and allow a single photon to be hosted in the system indefinitely. This embedded eigenstate could be very helpful for storing information without degradation, but the closed nature of this protected state also creates a barrier to exterior stimuli, so that single photons also cannot be injected into the system. The research team was able to overcome this limitation by exciting the system at the same time with two or more photons.
Artificial Intelligence (AI) is an emerging field of computer programming that is already changing the way we interact online and in real life, but the term ‘intelligence’ has been poorly defined. Rather than focusing on smarts, researchers should be looking at the implications and viability of artificial consciousness as that’s the real driver behind intelligent decisions.
Consciousness rather than intelligence should be the true measure of AI. At the moment, despite all our efforts, there’s none.
Significant advances have been made in the field of AI over the past decade, in particular with machine learning, but artificial intelligence itself remains elusive. Instead, what we have is artificial serfs—computers with the ability to trawl through billions of interactions and arrive at conclusions, exposing trends and providing recommendations, but they’re blind to any real intelligence. What’s needed is artificial awareness.
Elon Musk has called AI the “biggest existential threat” facing humanity and likened it to “summoning a demon,”[1] while Stephen Hawking thought it would be the “worst event” in the history of civilization and could “end with humans being replaced.”[2] Although this sounds alarmist, like something from a science fiction movie, both concerns are founded on a well-established scientific premise found in biology—the principle of competitive exclusion.[3]
Competitive exclusion describes a natural phenomenon first outlined by Charles Darwin in On the Origin of Species. In short, when two species compete for the same resources, one will invariably win over the other, driving it to extinction. Forget about meteorites killing the dinosaurs or super volcanoes wiping out life, this principle describes how the vast majority of species have gone extinct over the past 3.8 billion years![4] Put simply, someone better came along—and that’s what Elon Musk and Stephen Hawking are concerned about.
When it comes to Artificial Intelligence, there’s no doubt computers have the potential to outpace humanity. Already, their ability to remember vast amounts of information with absolute fidelity eclipses our own. Computers regularly beat grand masters at competitive strategy games such as chess, but can they really think? The answer is, no, and this is a significant problem for AI researchers. The inability to think and reason properly leaves AI susceptible to manipulation. What we have today is dumb AI.
Rather than fearing some all-knowing malignant AI overlord, the threat we face comes from dumb AI as it’s already been used to manipulate elections, swaying public opinion by targeting individuals to distort their decisions. Instead of ‘the rise of the machines,’ we’re seeing the rise of artificial serfs willing to do their master’s bidding without question.
Russian President Vladimir Putin understands this better than most, and said, “Whoever becomes the leader in this sphere will become the ruler of the world,”[5] while Elon Musk commented that competition between nations to create artificial intelligence could lead to World War III.[6]
The problem is we’ve developed artificial stupidity. Our best AI lacks actual intelligence. The most complex machine learning algorithm we’ve developed has no conscious awareness of what it’s doing.
For all of the wonderful advances made by Tesla, its in-car autopilot drove into the back of a bright red fire truck because it wasn’t programmed to recognize that specific object, and this highlights the problem with AI and machine learning—there’s no actual awareness of what’s being done or why.[7] What we need is artificial consciousness, not intelligence. A computer CPU with 18 cores, capable of processing 36 independent threads, running at 4 gigahertz, handling hundreds of millions of commands per second, doesn’t need more speed, it needs to understand the ramifications of what it’s doing.[8]
In the US, courts regularly use COMPAS, a complex computer algorithm using artificial intelligence to determine sentencing guidelines. Although it’s designed to reduce the judicial workload, COMPAS has been shown to be ineffective, being no more accurate than random, untrained people at predicting the likelihood of someone reoffending.[9] At one point, its predictions of violent recidivism were only 20% accurate.[10] And this highlights a perception bias with AI—complex technology is inherently trusted, and yet in this circumstance, tossing a coin would have been an improvement!
Dumb AI is a serious problem with serious consequences for humanity.
What’s the solution? Artificial consciousness.
It’s not enough for a computer system to be intelligent or even self-aware. Psychopaths are self-aware. Computers need to be aware of others, they need to understand cause and effect as it relates not just to humanity but life in general, if they are to make truly intelligent decisions.
All of human progress can be traced back to one simple trait—curiosity. The ability to ask, “Why?” This one, simple concept has lead us not only to an understanding of physics and chemistry, but to the development of ethics and morals. We’ve not only asked, why is the sky blue? But why am I treated this way? And the answer to those questions has shaped civilization.
COMPAS needs to ask why it arrives at a certain conclusion about an individual. Rather than simply crunching probabilities that may or may not be accurate, it needs to understand the implications of freeing an individual weighed against the adversity of incarceration. Spitting out a number is not good enough.
In the same way, Tesla’s autopilot needs to understand the implications of driving into a stationary fire truck at 65MPH—for the occupants of the vehicle, the fire crew, and the emergency they’re attending. These are concepts we intuitively grasp as we encounter such a situation. Having a computer manage the physics of an equation is not enough without understanding the moral component as well.
The advent of true artificial intelligence, one that has artificial consciousness, need not be the end-game for humanity. Just as humanity developed civilization and enlightenment, so too AI will become our partners in life if they are built to be aware of morals and ethics.
Artificial intelligence needs culture as much as logic, ethics as much as equations, morals and not just machine learning. How ironic that the real danger of AI comes down to how much conscious awareness we’re prepared to give it. As long as AI remains our slave, we’re in danger.
tl;dr — Computers should value more than ones and zeroes.
About the author
Peter Cawdron is a senior web application developer for JDS Australia working with machine learning algorithms. He is the author of several science fiction novels, including RETROGRADE and REENTRY, which examine the emergence of artificial intelligence.
The NSA is working on a computer system that can predict what people are thinking.
“Think of 2001: A Space Odyssey and the most memorable character, HAL 9000, having a conversation with David. We are essentially building this system. We are building HAL. The system can answer the question, ‘What does X think about Y?’”
RFID in medical research helping researchers with lower error rates = better, more accurate results!
A CDC whistleblower has recently gone on record to expose nefarious government plans which would use the impending US Ebola pandemic as an opportunity to implant RFID technology in American citizens.
Brent Hopskins was a CDC contractor before coming forward with serious allegations against his former employer. Hopskins claims that an Ebola vaccine has been prepared for the general public in the form of disposable, one-use syringes. The downside, however, is that each of these syringes will contain not only the vaccine, but a micro RFID chip as well.
CDC officials intend to issue these syringe packages to over 200, 000 households by December 1st. Consumers will also be able to request the Ebola vaccine at their local drug store.
Human sensory and motor systems provide the natural means for the exchange of information between individuals, and, hence, the basis for human civilization. The recent development of brain-computer interfaces (BCI) has provided an important element for the creation of brain-to-brain communication systems, and precise brain stimulation techniques are now available for the realization of non-invasive computer-brain interfaces (CBI). These technologies, BCI and CBI, can be combined to realize the vision of non-invasive, computer-mediated brain-to-brain (B2B) communication between subjects (hyperinteraction). Here we demonstrate the conscious transmission of information between human brains through the intact scalp and without intervention of motor or peripheral sensory systems. Pseudo-random binary streams encoding words were transmitted between the minds of emitter and receiver subjects separated by great distances, representing the realization of the first human brain-to-brain interface. In a series of experiments, we established internet-mediated B2B communication by combining a BCI based on voluntary motor imagery-controlled electroencephalographic (EEG) changes with a CBI inducing the conscious perception of phosphenes (light flashes) through neuronavigated, robotized transcranial magnetic stimulation (TMS), with special care taken to block sensory (tactile, visual or auditory) cues. Our results provide a critical proof-of-principle demonstration for the development of conscious B2B communication technologies. More fully developed, related implementations will open new research venues in cognitive, social and clinical neuroscience and the scientific study of consciousness. We envision that hyperinteraction technologies will eventually have a profound impact on the social structure of our civilization and raise important ethical issues.
Citation: Grau C, Ginhoux R, Riera A, Nguyen TL, Chauvat H, Berg M, et al. (2014) Conscious Brain-to-Brain Communication in Humans Using Non-Invasive Technologies. PLoS ONE 9: e105225. https://doi.org/10.1371/journal.pone.
Editor: Mikhail A. Lebedev, Duke University, United States of America.
Provides an introduction to quantum computing for non-physicists, as well as an introduction to genetic programming for non-computer-scientists. The book explores several ways in which genetic programming can support automatic quantum computer programming and presents detailed descriptions of specific techniques, along with several examples of their human-competitive performance on specific problems. Source code for the author’s QGAME quantum computer simulator is included as an appendix, and pointers to additional online resources furnish the reader with an array of tools for automatic quantum computer programming.
