There’s a lot of hype floating around one specific technology that has the potential to change everything:
Google’s recent mythical achievement does not signal the arrival of quantum computing.
Quantum Computing is still far enough away that attempting to predict when it will occur and what useful tasks it will eventually be used for is a recipe for embarrassment because history teaches us that unforeseen applications will blossom as access to new tools becomes available.
In this very detached and disintegrating world, intelligence systems are learning from the environment they are exposed to and make decisions on biases they are developing.
Once you get the wrong side of an algorithm your life immediately becomes more difficult. Your perceived failures are fed into the algorithm, and your situation degrades even further.
This is why it’s imperative that we begin to take the problem of AI BIAS seriously and take steps to mitigate their effects by making our systems more transparent, explainable, and auditable.
We must shift from automation to augmentation.
They are counting on it to change the world by solving problems that are intractable for today’s classical computers.
At the moment its all in the cloud so any assessment or update of what we know about Quantum Computers is pie in the sky.
However, there are a few thoughts.
They conjure up everything from futuristic cities to talking fridges. Undoubtedly the reality is much less sci-fi.
They are supposed to offer an opportunity to manipulate information in a fundamentally different way. To tackle ever-larger questions that can help us gain a profoundly deeper understanding of the world around us.
While traditional computers operate with bits, quantum computers operate with qubits that allow superposition. Qubits enable this because instead of being constrained to one of two possible values (1 or 0), a qubit can exist as a mixture of both.
A unique quantum physics behaviour that binds the destiny of a quantity of different particles so that what happens to one will affect the others.
“Entanglement.”
This means that a Quantum Computer can manipulate all its qubits simultaneously—in other words, instead of doing a set of calculations one after another, a quantum computer could do them all at the same time.
Okay, putting the theory aside, let’s focus on the real-world applications these quantum computers will have on the world.
Optimization slicing through a mountain of variables without breaking a sweat.
Enabling better Weather and climate modelling. Better Personalized medicine. Better Space data analyzation. Better raw computing power for machine-learning software to teach artificial intelligence more like humans. Encryption will become useless. Real-time language translation will be possible.
Open-air gesture control, with the keyboard and mouse—slowly replaced by the gesture interface.
Amazon Google, virtual assistants will understand the context behind the questions you ask; they will recognize the indirect signals given off by your tone of voice; they will even engage in long-form conversations with you.
Devices you wear or even insert inside your body to help you interact digitally with the world around you. These devices will play a supporting role in how we engage with the digital space; we’ll use them for specific purposes in specific contexts with brain implants.
Integrating all of the technologies mentioned above represents the start of an entirely new mass-market medium virtual reality and augmented reality.
The goal of AR ( augmented reality) is to act as a digital filter on top of your perception of the real world.
Everyone’s idea of Virtual Reality and Augmented Reality is fixated towards science fiction however AR will eventually do away with most of the traditional computer interfaces consumers have grown up with thus far. AR, when it comes in Quantum form, it will too control machines:
Controlling household functions (lighting, curtains, temperature), as well as a range of other devices and vehicles.
Thought itself:
Amputees are now already testing robotic limbs controlled directly by the mind, instead of through sensors attached to the wearer’s stump.
An international team of scientists were able to mimic telepathy by having one person from India think the word “hello,” and through BCI, that word was converted from brain waves to binary code, then emailed to France, where that binary code was converted back into brainwaves, to be perceived by the receiving person. Brain-to-brain communication, people
Useful quantum computers still not insight.
Needless to say, the future is not too far away.
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( Probably one of the most confusing twenty-five -minute to thirty-minute read I have ever written)
The computing power that we have available to us at our fingertips is astonishing but even with the most powerful supercomputers on the planet, some problems are still way beyond our reach and there are still some problems out there that would take longer than the universe has existed to solve.
In the past, we believed all computers fundamentally did the same thing—just maybe one a bit faster than another but when it comes to Quantum Computers do any of us know what we are talking about.
There are loads of attempts to explain Quantum computing in layman terms but the truth is that physicists are themselves in general agreement that no one really understands quantum mechanics which is the basis for a Quantum Computer.
Why?
Because Quantum mechanics can be used to describe many physical systems.
However, there is a common set of core principles that all of these physical systems obey.
So as quantum computers promise to truly transform our world here is another attempt to get quantum computing into an understandable language.
Just what is a Quantum Computer?
It’s like having a big airport with lots of baggage terminals, and you are looking for a lost suitcase on one of them. You employ the help of some friends to search each of the terminal one by one before you find the suitcase. A Quantum computer will search all the terminals at the same time, and only the terminal on which it is found exists after you look at it.
Weird, Yes, but this is where it gets really complicated.
The goal in quantum computing is to choreograph things so that some paths leading to a wrong answer have positive amplitudes and others have negative amplitudes, so, on the whole, they cancel out and the wrong answer is not observed.
Any the wiser? No!
Here are the dudes that contributed to its discovery, not the suitcase but the quantum Mathematics.
They all puzzles about matter and light. Coming to the conclusion that was solved by postulating that atoms and particles behave differently from macroscopic objects. Eventually, this led to the theory of quantum mechanics, which explains all of those differences, using a small number of basic principles.
One has to think of quantum mechanics as a generalization of probability theory in which probabilities can be negative.
The idea of quantum computing, however, is to use physics to do the math. For example, to devise quantum algorithms such that all the possible ways to get to the wrong answer interfere with themselves and cancel each other out, while leaving only the possibility of getting to the right answer.
Still none the wiser.
I would love to ask them why should Nature have been quantum-mechanical?
In computers, we can stuff the laws of nature into it mathematically and create the world. Other words if a computer has a sequence of thirty 0s and 1s, it has about one billion of possible values.
However, a classical computer can only be in one of these one billion states at the same time. A quantum computer can be in a quantum combination of all of those states, called superposition. This allows it to perform one billion or more copies of computation at the same time.
But how do we access these billion results?
Experiments in quantum physics are now creating artificial physical systems that obey the laws of quantum mechanics but do not exist in nature under normal conditions.
In order to fully understand the quantum world, you have to develop a new realm of mathematics.
We have little daily experience dealing with elementary particles.
The bizarre world of quantum theory — where things can seem to be in two places at the same time and are subject to the laws of probability — not only represents a more fundamental description of nature than what preceded it, it also provides a rich context for modern mathematics.
If all mathematics disappeared today, physics would be set back exactly one week,” to which a mathematician had the clever riposte: “This was the week that God created the world.”
In the quantum world, everything that can happen does happen and all are considering everything at once.
Every quantum particle, such as an electron, can be considered both as a particle and as a wave offering different perspectives on the same physical phenomenon that underlies quantum theory and, ultimately, reality.
Another words you can look at the world with a mathematical eye or with a complementary physical eye, but don’t dare to open both because the world, is not as certain as our everyday experience of has us believe.
And of course, there is no need for me to tell you that nobody has ever directly seen a single particle in several places at once.
Somehow, measurement causes reality to “snap”. Reality splits into different branches at the point of measurement. In each branch an observer sees one of the possible outcomes. One can never, ever measure both the position and the momentum of a quantum object.
Time and energy are another pair that can’t be measured simultaneously so in real life, we cannot measure states.
No I am not making this up. So don’t doubt. Just carry on reading.
A quantum computer encodes information into quantum states and computes by performing quantum operations on it. It is using trapped ions. An ion is an atom that has lost one or more of its electrons. An ion trap is a system consisting of electric and magnetic fields, which can capture ions and keep them at locations. Using an ion trap, one can arrange several ions in a line, at regular intervals the more trapped ions the better.
The computation is then performed by using light to manipulate the states of ions.
This is known as quantum parallelism. The result of this process is a quantum state.
It is not a classical state (A “state”, in general, is the collection of numbers needed to completely describe the physics you are interested in) in the sense that we could ever observe the switch in the “on and off” state, it is a quantumstate that exists in an abstract space called Hilbert space. (A space with more than three dimensions.)
Still in a state of confusion. Don’t blame you. It’s wholly abstract.
How about a particle in some state that may interact with another particle in some state…
Now imagine you can make a bit (the smallest unit of data in a computer) that can be in the zero and the one state at the same time. That’s called a quantum bit or qubit.
The simplest example in nature would be just a single electron. It has a magnetic dipole called spin, which is like the needle of a compass but because it’s a quantum needle, it can be pointing up and down at the same time.
By this time your brain might be in a vat. Mine is.
They a bit or qubit. must have some form of existence because the Quantum theory is a theory about real objects in nature, what else should a physical theory be about?
The quantum state appears to be something intrinsically holistic ie emphasizing the importance of the whole rather than analysis or separation into parts.
Every state of a system is represented by a ray (or vector) in Quantum entanglement is a physical phenomenon that occurs when pairs or groups of particles are generated or interact in ways such that the quantumstate of each particle cannot be described independently of the others, even when the particles are separated by a large distance-instead, a quantumstate must be described for the system as a whole.
If we measured a quantum state, we would get just one of the results. All of the other 999,999,999 results would disappear.
So Quantum computing takes advantage of the strange ability of subatomic particles to exist in more than one state at any time.
The goal of quantum mechanics was to understand the laws of nature according to how quantum systems function.
The new goal is to manipulate and control quantum systems so that they behave in a prescribed way.
For a parallel computer, we need to have one billion different processors. In a quantum computer, all one billion computations will be running on the same hardware.
But in order to know anything about anything, some detection scheme needs to happen.
To solve this problem, one uses the second effect, quantum interference. Quantum interference is used to combine the results into something that is both meaningful and can be measured according to the laws of quantum mechanics.
Sorry, we back to Quantum Mechanics which is based on numbers called amplitudes, which can be positive or negative or even complex numbers. In quantum mechanics, the wave function is complex-valued, and the square of the absolute value yields a probability.
All of these achievements of quantum computing are based on the same effects of quantum mechanics. On a high level, these are known as quantum parallelism and quantum interference.
I have no idea what it means for a probability to be an amplitude.
Amplitudes alone are not enough to fully describe a system.
Can someone give me some kind of intuitive explanation of this concept?
Why does probability have to act like a probability?
Why should amplitudes have complex numbers?
Surely a wave is a defined frequency and phase.
Anyway, we are left with the question why do we need it?
We know that they will be faster for many computational tasks, from modelling nature to searching large amounts of data.
With a quantum computer, it is hoped to find a more efficient way to produce artificial fertilizer, having a direct impact on food production around the world, and it is hoped to help with combating global warming by learning how to efficiently extract carbon dioxide from the environment.
They will be used to conduct virtual experiments. For example, quantum chemistry re molecular simulation.
As far as it is possible to know they could be the final step in intertwining us with AI.
(The current record distance for measuring entangled particles is 1,200 kilometres or about 745.6 miles. Entanglement means that the whole quantum system is greater than the sum of its parts.) Entanglement is a fascinating property of quantum mechanics that’s completely counter-intuitive.
I think there are many more applications and, perhaps, the most important ones are still waiting to be discovered.
But there is a line that must not be crossed and that is there use intentionally or accidentally to kill us, i.e. a Quantum magical drone armed with AI and an electro-magnetic pulse would have the potency to annihilate us all.
Now that your brain is fried I leave you with this thought.
Our own system is barley understood to this day.
This thing on our shoulders is constantly working out problems even as we work on making breakfast. You are creating a program that thinks and is separate from you, within you. You are a Quantum Computer.
We know that our brains receive their signals in symbolic form. The method of transmission and the network of transmission are a mix of electrochemical reactions that are harmonic to our network.
Quantum computing will potentially mark one of the tech world’s biggest revolutions, harnessing the quirks of quantum mechanics to speed up machine computation exponentially but as computers, they have a long ways to go to catch up with human thought and common sense. Considerably more work is needed before we can reach the long-dreamt-of moment when machine intelligence matches the human variety.
This is the huge problem on the horizon, endowing AI programs with common sense.
Even little kids has it, but no deep learning program does. It will take more than a hybrid computer to show that humankind of understanding.
Quantum or not it will still have a capacity for things the human mind can do easily, like abstraction or inference that make it possible for us to “understand” from very little information, or instantly apply insight to another set of circumstances.
A “quantum leap”
The day may come when intelligible sentences combining quantum mathematics with brain function/consciousness/mental functions can be crafted, till that day our free will still come from quantum indeterminacy, not complex hybrid quantum algorithm yet to be devised.
The expectation is that one day when the computer technology industry achieves so-called “quantum superiority” and deliver real commercial benefits we will be best to let the idiot be an idiot.
Finally, it has just been reported by the financial times that Google’s quantum computer was able to solve a calculation – proving the randomness of numbers produced by a random number generator- in 3 minutes and 20 seconds that would take the worlds fastest traditional supercomputer around 10,000 years.
Sleep tight.
AS ALBERT EINSTEIN SAID
“As far as the laws of mathematics refer to reality, they are not certain; and as far as they are certain, they do not refer to reality.”
All human comments appreciated. All like clicks and abuse chucked in the bin.
QUITE RECENTLY THE BEADY ASKS: DOES ANYONE REALLY KNOW WHAT QUANTUM CHIPS WILL DO.
It was read by more than a few punters around the world. However, to date, it seems that no one knows.
Even trying to define what we mean by “reality” is fraught with difficulty.“
Just so you know I am no Physics scientist, nor do I live in a loony bin and probably like you if I kick a rock it is real but leaving aside the question of whether your senses can be trusted, what are you actually kicking?
When it boils down to it, not a lot.
Science needs remarkably few ingredients to account for a rock: a handful of different particles, the forces that govern their interactions, plus some rules laid down by quantum mechanics.
This seems like a solid take on reality, but it quickly starts to feel insubstantial. If you take a rock apart, you’ll find that its basic constituent is atoms – Atoms, of course, are composed of smaller subatomic particles, namely protons and neutrons – themselves built of quarks – and electrons.
Otherwise, though, atoms (and hence rocks) are mostly empty space.
If an atom were scaled up so that its nucleus was the size of the Earth, the distance to its closest electrons would be 2.5 times the distance between the Earth and the sun. In between is nothing at all.
If so much of reality is built on emptiness, then what gives rocks and other objects their form and bulk?
Physics has no problem answering this question: electrons.
Quantum rules dictate that no two electrons can occupy the same quantum state. The upshot of this is that, no matter how hard you try, you cannot think of the world as made up of particles held together by forces, but quantum theory tells us that these are just a mess of fields we can only properly describe by invoking the mathematics of quantum physics.
The story of our recent technological development has been one of ever-increasing computational power. At some future time, we are unlikely to be content with constructing tightly circumscribed game worlds. We will surely begin to simulate everything, including the evolutionary history that led to where we are.
Flicking the switch on such a world simulation could have fundamental ramifications for our concept of reality. If we can do it, that makes it likely it has been done before. In fact, given the amount of computing power advanced civilizations are likely to have at their fingertips, it will probably have been done a vast number of times.
So switching on our own simulation will tell us that we are almost undoubtedly in someone else’s already. We would have to think we are one of the simulated people, rather than one of the rare, exceptional non-simulated people.
Probably, anyway. There has to be a basement level of reality somewhere, in which the “master” simulation exists. It is possible that we live in that reality. Depending on its laws of physics, the basement’s computing resources are likely to be finite.
When you woke up this morning, you found the world largely as you left it. You were still you; the room in which you awoke was the same one you went to sleep in. The outside world had not been rearranged. History was unchanged and the future remained unknowable.
In other words, you woke up to reality. But what is the reality? The more we probe it, the harder it becomes to comprehend.
IT IS DIFFICULT TO REFUTE THE IDEA THAT CONSCIOUSNESS IS ALL THERE IS.
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( Twelve minute read for all programmers, code writers.)
I think most people are worrying about the wrong things when they worry about Robots and AI.
However with AI and robotics positioned to impact all areas of society, we are remiss not to set things in motion now to prepare for a very different world in the future.
The danger is not AI itself but rather what people do with the AI. The repercussions of AI technology is going to be profound, limited by biological evolution we will be unable to keep up.
So we were all making a very basic mistake when it comes to ARTIFICIAL INTELLIGENCE.
Like every advance in technology AI has the potential to do amazing things, on the other hand it also has the potential to do dangerous things and there is little that can be done to stop or rectify it once it’s unleashed. For example its use in weaponizing.
(Recently I read where it is now almost possible to physically create a computer made of DNA using DNA molecules. A computer that can be programmed to compute anything any other device can process.
Electronic computers are a form of UTM, but no quantum UTM has yet been built, if built it will outperform all standard computers on significant practical problems. This ‘magical’ property is possible because the computer’s processors are made of DNA rather than silicon chips. All electronic computers have a fixed number of chips.
So what?
As DNA molecules are very small a desktop computer could potentially utilize more processors than all the electronic computers in the world combined – and therefore outperform the world’s current fastest supercomputer, while consuming a tiny fraction of its energy.
It will definitely bring about moral and philosophical issues that we should be concerned about right now.)
Back to today:
It’s no longer what or when Artificial Intelligence will change our lives, but how or what and who is going to be help responsible.
We are at a crossroads. We need to make decisions. We must re-invent our future.
It is the role of AI in future, truly hybrid societies, or socio-cognitive-technical systems, that will be the real game changer.
The real potential of AI includes not only the development of intelligent machines and learning robots, but also how these systems influence our social and even biological habits, leading to new forms of organization, perception and interaction.
In other words, AI will extend and therefore change our minds.
Robots are things we build, and so we can pick their goals and behaviours. Both buyers and builders ought to pick those goals sensibly, but people who will use and buy AI should know what the risks really are.
Understanding human behaviour may be the greatest benefit of artificial intelligence if it helps us find ways to reduce conflict and live sustainably.
However, knowing fully well what an individual person is likely to do in a particular situation is obviously a very, very great power. Bad applications of this power include the deliberate addiction of customers to a product or service, skewing vote outcomes through disenfranchising some classes of voters by convincing them their votes don’t matter, and even just old-fashioned stalking.
Machines might learn to predict our every move or purchase, or governments might try to put the blame robots for their own unethical policy decisions.
It’s pretty easy to guess when someone will be somewhere these days.
Robots, Artificial Intelligence programs, machine learning, you name it, all seem to be responsible for themselves.
However increasingly our control of machines and devices is delegated, not direct. That fact needs to be at least sufficiently transparent that we can handle the cases when components of systems our lives depend on go wrong.
In fact, robots belong to us. People, governments and companies build, own and program robots. Whoever owns and operates a robot should be responsible for what it does.AI systems must do what we want them to do.
In humans consciousness and ethics are associated with our morality, but that is because of our evolutionary and cultural history. In artefacts, moral obligation is not tied by either logical or mechanical necessity to awareness or feelings. This is one of the reasons we shouldn’t make AI responsible: we can’t punish it in a meaningful way, because good AI systems are designed to be modular, so the “pain” of punishment could always be excised, unlike in nature.
We must get over our over-identification with AI systems and start demanding that all Technologies that is not designed for the betterment of humanity and the world we live in be verify AI safe andcompanies need to make the AI they are inserting in their products visible.
We need a world Organisation that is totally transparent and accountable to VET all technology to ensure that :
To minimise social disruption and maximise social utility.
Robots should notbe designed as weapons, except for national security reasons.
Robots should be designed and operated to comply with existing law, including privacy.
Robots are products: as with other products, they should be designed to be safe and secure.
Robots are manufactured artefacts: the illusion of emotions and intent should not be used to exploit vulnerable users.
It should be possible to find out who is responsible for any robot.
Robots should not be human-like because they will necessarily be owned.
Robots do not need to have a gender. We should consider how our technology reflects our expectations of gender. Who are the users, and who gets used?
Weshould not creating a legal status for robots that will dub them as “electronic persons,” implying that machines will have legal rights and obligations to fulfill. This means that robots will have to take responsibility for decisions they make, especially if they have autonomy.
We should insist on a kill switch for all robots that would shut down all functions if necessary.
We should have restrictions on robots to ensure they obey all commands unless those commands would force them to physically do harm to humans or themselves through action or inaction.
We should not use robots to reason about what it means to be human, calling them “human” dehumanize real people. Worse, it gives people the excuse to blame robots for their actions, when really anything a robot does is entirely our own responsibility.
There are also ethical issues with AI, but they are all the same issues we have with other artifacts we build and value or rely on, such as fine art or sewage plants.
Yesterday, the European Parliament’s legal affairs committee voted to pass a report urging the drafting of a set of regulations to govern the use and creation of robots and AI.
legal liability may need to be proportionate to its level of autonomy and “education,” with the owners of robots with longer training periods held more responsible for those robots’ actions.
A big part of the responsibility also rests on the designers behind these sophisticated machines, with the report suggesting more careful monitoring and transparency. This can be done by providing access to source codes and registration of machines. The forming an ethics committee, where creators might be required to present their designs before they build them.
We should have to have a league of programmers dedicated to opposing the misuse of AI technology to exploit people’s natural emotional empathy.
As AI gets better, these issues have gotten more serious.
So to wrap up this blog :
First, here are many reasons not to be worry. However it is not enough for experts to understand the role of AI in society it is also imperative to communicate this understanding to non-experts.
Secondly, we shouldn’t ever be seen as selling our own data, just leasing it for a particular purpose.
This is the model software companies already use for their products; we should just apply the same legal reasoning to we humans. Then if we have any reason to suspect our data has been used in a way we didn’t approve, we should be able to prosecute. That is, the applications of our data should be subject to regulations that protect ordinary citizens from the intrusions of governments, corporations and even friends.
These problems are so hard, they might actually be impossible to solve.
But building and using AI is one way we might figure out some answers. If we have tools to help us think, they might make us smarter. And if we have tools that help us understand how we think, that might help us find ways to be happier.
The idea that robots, being authored by us, will always be owned—is completely bonkers. It is the duty of all of us to make AI researchers ensure that the future impact is beneficial, not making robots into others, but accepting them as part of ourselves – as artefacts of our culture rather than as members of our in group.
Unfortunately, it’s easier to get famous and sell robots if you go around pretending that your robot really needs to be loved, or otherwise really is human – or superhuman!
Just because they are shaped like a human and they’d watched Star Wars, passers-by thought it deserved more ethical consideration than they gave homeless people, who were actually people.
Because we build and own robots, we shouldn’t ever want them to be persons.
I can hear you saying that our society faces many hard problems far more pressing than the advance of Artificial intelligence. AI is here now, and even without AI, our hyperconnected socio-technical culture already creates radically new dynamics and challenges for both human society and our environment.
AI and computer science, particularly machine learning but also HCI, are increasingly able to help out research in the social sciences. Fields that are benefiting include political science, economics, psychology, anthropology and business / marketing. All true but automation causes economic inequality.
Blaming robots is insane, and taxing the robots themselves is insane.
This is insane because no robot comes spontaneously into being. Robots are all constructed, and the ones that have impact on the economy are constructed by the rich which is creating a fundamental shift in the power and availability of artificial intelligence, and its impact on everyday lives. It creates a moral hazard to dump responsibility into a pit that you cannot sue or punish.
Some people really expected AI to replace humans. These people don’t have enough direct, personal experience of AI to really understand whether or not it was human in the first place.
There is no going back on this, but that isn’t to say society is doomed.
The word “robot” is derived from the Czech word for “slave.”
Lets keep it that way: I am all for Technological self-reproduction – Slaves.
Unless we can re calibrate our tendency to exploit each other, the question may not be whether the human race can survive the machine age – but whether it deserves to.
Sitting in front of the TV a leading Comedy Actress looked into the camera and said ” I wish to thank all my new-found friends for watching. I love you.”
I thought to myself how sick. Where is all of this technology going to end up.
Making predictions about technology can be a tricky business.
Take for instance the Star Wars Beam me up Scottie. Who to-day would have thought is possible. Not many. However the other day the quantum state (the direction it was spinning) of a light particle instantly traveled 15.5 miles (25 kilometers) across an optical fiber, becoming the farthest successful quantum teleportation feat yet.
So lets look at the current state and progress of different technologies used in fields such as 3D printing, big data and analytics, open intellectual property movement, massively online open courses, security cross-cutting issues, universal memory, 3D integrated circuits, photonics, cloud computing, computational biology and bioinformatics, device and nanotechnology, sustainability, high-performance computing, the Internet of Things, life sciences, machine learning and intelligent systems, natural user interfaces, networking and inter-connectivity, quantum computing, software-defined networks, multicore, and robotics for medical care.
The drawbacks and Pluses of technologies.
Security Cross-Cutting Issues.
The growth of large data repositories and emergence of data analytics have combined with intrusions by bad actors, governments, and corporations to open a Pandora’s box of issues. How can we balance security and privacy in this environment?
Open Intellectual Property Movement.
From open source software and standards to open-access publishing, the open IP movement is upon us.
Sustainability.
Can electronic cars, LED lighting, new types of batteries and chips, and increasing use of renewables combat rising energy use and an explosion in the uptake of computing?
Massively Online Open Courses.
MOOCs have the potential to transform the higher-education landscape, siphoning students from traditional universities and altering faculty and student roles. How significant will their impact be?
Quantum Computing.
Constrained only by the laws of physics, quantum computing will potential extend Moore’s Law into the next decade. As commercial quantum computing comes within reach, new breakthroughs are occurring at an accelerating pace.
Device and Nanotechnology.
It is clear that MEMS devices, nanoparticles, and their use in applications are here to stay. Nanotechnology has already been useful in manufacturing sunscreen, tires, and medical devices that can be swallowed.
3D Integrated Circuits.
The transition from printed circuit boards to 3D-ICs is already underway in the mobile arena, and will eventually spread across the entire spectrum of IT products
.Universal Memory.
Universal memory replacements for DRAM will cause a tectonic shift in architectures and software.
Multicore.
By 2022, multicore will be everywhere, from wearable systems and smartphones to cameras, games, automobiles, cloud servers, and exa-scale supercomputers.
Photonics.
Silicon photonics will be a fundamental technology to address the bandwidth, latency, and energy challenges in the fabric of high-end systems.
Networking and Interconnectivity.
Developments at all levels of the network stack will continue to drive research and the Internet economy.
Software-defined Networks.
OpenFlow and SDN will make networks more secure, transparent, flexible, and functional.
High-performance Computing.
While some governments are focused on reaching exascale, some researchers are intent on moving HPC to the cloud.
Cloud Computing.
By 2022, cloud will be more entrenched and more computing workloads run on the cloud.
The Internet of Things.
From clothes that monitor our movements to smart homes and cities, the Internet of Things knows no bounds, except for our concerns about ensuring privacy amid such convenience.
Natural User Interfaces.
The long-held dreams of computers that can interface with us through touch, gesture, and speech are finally coming true, with more radical interfaces on the horizon.
3D Printing.
3D printing promises a revolution in fabrication, with many opportunities to produce designs that would have been prohibitively expensive.
Big Data and Analytics.
The growing availability of data and demand for its insights holds great potential to improve many data-driven decisions.
Machine Learning and Intelligent Systems.
Machine learning plays an increasingly important role in our lives, whether it’s ranking search results, recommending products, or building better models of the environment.
Computer Vision and Pattern Recognition.
Unlocking information in pictures and videos has had a major impact on consumers and more significant advances are in the pipeline.
Life Sciences.
Technology has been pivotal in improving human and animal health and addressing threats to the environment.
Computational Biology and Bioinformatics.
Vast amounts of data are enabling the improvement of human health and unraveling of the mysteries of life.
Medical Robotics.
From autonomous delivery of hospital supplies to telemedicine and advanced prostheses, medical robotics has led to many life-saving innovation
Global Internet traffic has increased five fold over the past five years, and will increase threefold over the next five years. Overall, Internet traffic will grow at a compound annual growth rate of 21 percent from now to 2018. Apple is thought to have sold some 38.2 million iPhones in the third quarter of 2014.
For me the big questions is: Will the merger of devices that augment the brain and physical capabilities generate a new species, or create an even larger digital divide among humans.
Will we have supercomputers, which draw megawatts, as powerful and efficient as the 30-watt human brain? What changes could such processors bring?”
It predicts that more than 23 million smart wristbands alone will be sold.
Wearables are expected to include contact lenses with sensors that measure glucose levels in people with diabetes and electronic “tattoos” that monitor how well a wound is healing. Wearable technology includes smart wristbands and pedometers to measure things such as a person’s daily steps, calories burned, and how many times they wake during the night. There’s even a wearable for maintaining good posture.
IN FIVE YEARS, I DON’T THINK THERE WILL BE A REASON TO HAVE A TABLET ANYMORE… Based on each patient’s genome, a simple pill will no longer be a product but a service that involves remote monitoring, essential if you’re the first to take that pill. What will this mean for medical research when it comes to designing mass clinical trials. Who is going to be able afford Health Care when it is in the hands Profit.
Manufacturing will become more decentralized, with robots communicating with one another remotely, or whether robots will be used in the home to produce small custom parts. a mix of locally and centrally produced energy sources could radically change the economics of the industry.
Vehicle technology will have to have mind-controlled games to keep us occupied while we travel. Will these be created by cellphones or a patchwork of independently deployed networks like the AA, making travel its self a selling exercise.
There is one thing that is going to happen for certain. Those outside the technologies are going to become poorer, more extreme, and live longer.
If we are to manage all this Change we the one with SmartPhones and I Pads must demand that any life changing Technology should be available and accessible to all, especially Education if we are to avoid being ruled by the ignorant. Now is the time to open the doors of opportunity to all
AI systems must do what we want them to do.
bobdillon33blog 