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Category: computing

We have been hearing predictions for decades of a takeover of the world by artificial intelligence. In 1957, Herbert A. Simon predicted that within 10 years a digital computer would be the world’s chess champion. That didn’t happen until 1996. And despite Marvin Minsky’s 1970 prediction that “in from three to eight years we will have a machine with the general intelligence of an average human being,” we still consider that a feat of science fiction.

The pioneers of artificial intelligence were surely off on the timing, but they weren’t wrong; AI is coming. It is going to be in our TV sets and driving our cars; it will be our friend and personal assistant; it will take the role of our doctor. There have been more advances in AI over the past three years than there were in the previous three decades.

Even technology leaders such as Apple have been caught off guard by the rapid evolution of machine learning, the technology that powers AI. At its recent Worldwide Developers Conference, Apple opened up its AI systems so that independent developers could help it create technologies that rival what Google and Amazon have already built. Apple is way behind.

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This is huge! They have been able to develop a method to trace high-dimensional entanglement.

Before this point, we had a method that could trace entanglement to limited level among particles; this method allows us to detect high-dimensional entanglement and even enable us to certify whether or not the system has reached the maximum level of entanglement.

So, we are now going to finally see “real” full-scale quantum computing. This changes everything.

RMIT quantum computing researchers have developed and demonstrated a method capable of efficiently detecting high-dimensional entanglement.

Entanglement in quantum physics is the ability of two or more particles to be related to each other in ways which are beyond what is possible in classical physics.

Having information on a particle in an entangled ensemble reveals an “unnatural” amount of information on the other particles.

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Congrats DiAmante! Synthetic Diamond perfection for Quantum Computing and other technologies such as medical technology usage. Synthetic Diamonds (for all you startups or folks looking for something to get into) mass manufacturing is a huge demand area and it is only going to grow in demand with QC and the new medical technologies that are coming over the next 5 to 7 years. I have been researching 3D printers to see what can be done to mimic the process. Suggest HP and Intel to work hard in this space. I did locate one printer so far that is mass producing synthetic diamonds; the quality needs to be improved.

DiAmante makes synthetic diamonds for the semiconductor market.

The founder’s goal: ‘a diamond-based technology revolution’

The tiny company’s competitors include diamond giant DeBeers.

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A walk down memory lane: I thought it would be fun to revisit an article from 1998 about Los Alamos’ announcement about their move to Quantum Computing which we found out later they expanded it to include a Quantum Network which they announced in 2009 their success in that launch. Times certainly have changed.

LOS ALAMOS, N.M., March 17, 1998 — Researchers at the Department of Energy’s Los Alamos National Laboratory have answered several key questions required to construct powerful quantum computers fundamentally different from today’s computers, they announced today at the annual meeting of the American Physical Society.

“Based on these recent experiments and theoretical work, it appears the barriers to constructing a working quantum computer will be technical, rather than fundamental to the laws of physics,” said Richard Hughes of Los Alamos’ Neutron Science and Technology Group.

Hughes also said that a quantum computer like the one Los Alamos is building, in which single ionized atoms act like a computer memory, could be capable of performing small computations within three years.

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A new article considering chip implants:

Among other tragedies in Florida recently gripping America’s attention, a 2-year-old boy was snatched away from its parents by an alligator at Walt Disney World on Wednesday. I have a similar-aged toddler myself, and I followed this heartbreaking story closely. Unfortunately, it ended as horribly as it began, with the recovery of a dead child.

My presidential campaign with the Transhumanist Party is based on advocating for radical science and technology to make the world a better place for humans. As a result, for nearly two years I have been advocating for using chip implants in people to help keep them safer. Chip implants are often just the size of a grain of rice and can be injected by a needle in a nearly pain-free 60-second procedure. The implants can do a multiple array of things depending on the type. And much of the technology has been used in pets for over a decade, so it’s already been shown to be relatively safe.

I have a RFID NFC chip in my hand that is programmed to send a text saying “Win in 2016” to people who have the right type of phone. To get the text, all you have to do is put your phone by my hand. My chip can also start a car with the right software, hand out a business card electronically, or give out my medical information.

But the future of implants—as well as other wearable tech—may end up being most useful for the safety it provides.

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A microchip containing 1,000 independent programmable processors has been designed by a team at the University of California, Davis, Department of Electrical and Computer Engineering. The energy-efficient “KiloCore” chip has a maximum computation rate of 1.78 trillion instructions per second and contains 621 million transistors. The KiloCore was presented at the 2016 Symposium on VLSI Technology and Circuits in Honolulu on June 16.

“To the best of our knowledge, it is the world’s first 1,000-processor chip and it is the highest clock-rate processor ever designed in a university,” said Bevan Baas, professor of electrical and computer engineering, who led the team that designed the . While other multiple-processor chips have been created, none exceed about 300 , according to an analysis by Baas’ team. Most were created for research purposes and few are sold commercially. The KiloCore chip was fabricated by IBM using their 32 nm CMOS technology.

Each processor core can run its own small program independently of the others, which is a fundamentally more flexible approach than so-called Single-Instruction-Multiple-Data approaches utilized by processors such as GPUs; the idea is to break an application up into many small pieces, each of which can run in parallel on different processors, enabling high throughput with lower energy use, Baas said.

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RMIT quantum computing researchers have developed and demonstrated a method capable of efficiently detecting high-dimensional entanglement.

Entanglement in is the ability of two or more particles to be related to each other in ways which are beyond what is possible in classical physics.

Having information on a particle in an entangled ensemble reveals an “unnatural” amount of information on the other particles.

Read more

All is promising for Biometrics and biometric informatics; however, the technologies to date leveraged in IoT and other environments for parsing, analysis (especially predictive analysis), as well as better presented needs to be improved to be of value. We have seen great progress in the collection of the information and for some basic identification capabilities it looks good; however, to truly be effective and of value we need a lot more work done in this space especially when you look at today’s landscape of collecting information in areas of IoT and processing/ analysis with big data.

The global biometrics market is projected to cross US $ 24.8 billion by 2021. Fingerprint recognition biometric systems are the most preferred type of biometric systems used across the globe, owing to their ease of use, low cost, high speed and accurate results.

Biometric systems are used across various public as well as private offices for enhancing the security of data and information, as these systems provide an accurate validation as compared to traditional methods such as ID cards, PINs, passwords, etc. Increasing use of biometrics in e-commerce and cloud computing solutions, coupled with initiatives taken by the government of various countries across the world to adopt biometrics systems for identification and verification purposes are some of the major factors driving demand for biometric solutions, globally.

Moreover, introduction of e-passports and e-visas, use of biometrics in criminal identification, increasing demand for smartphones integrated with biometric technologies and implementation of biometric technology in election administration are anticipated to drive the global biometrics market over the next five years.

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Agree. So as a tech engineer, futurist, innovator, leader you have 3 key tracks to remain relevant in the future: bio/ living technology, quantum, and a hybrid of living/ bio meets quantum computing.

Editor €™s Note: Richard van Hooijdonk is a futurist and international keynote speaker on future technologies and disruption and how these technologies change our everyday lives. Van Hooijdonk and his international team research €˜mega trends €™ on digital health, robotic surgery, drones, the internet-of-things, 3D/4D printing, Big Data and other how new technologies affects many industries.

With people living increasingly longer lives, medical care from surgeons, physicians, pharmacists and dentists will increase as well. And since the future of healthcare will look very different from what it is today, the medical field may just be the right industry for you, even if being a doctor or nurse is not your calling. Many new technologies will be incorporated into the healthcare industry and we will see things like robotic surgeries and 3D-printed organ implants, to name a few. This means we will be seeing a whole new host of career opportunities, even for jobs that don €™t actually exist yet.

1. Healthcare Navigator €“ Guides patients through the complex medical system of the future

Being sick can be extremely stressful €“ to yourself, the doctors and nursing staff. But your family and loved ones also have a lot to deal with when you are ill. Technology will make healthcare more and more complex to navigate in the future. We €™ll be introduced to bio-printers, electronic pills, 3D-printed medication, surgical robots and DNA manipulation. To make sense of all these new technologies and treatments, and guide the patient as well as family members, healthcare navigators will become indispensible.

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Over the next 3 to 5 years you will see more and more in tech (medical/ bio, chip/ semiconductors, software, AI, services, platform, etc.) adopting QC in their nextgen products and services. We’re (as in Vern B. — D-Wave co-founder and CEO terms) in the Era of Quantum Computing. I highly urge techies to learn about QC so that you remain relevant.

Google is being driven by need to prevent the NSA from breaking into its system to access confidential personal data of its millions of users. On the other hand, the NSA is bent on cracking the tough encryption systems Google and other tech firms use to shield their information from them. Quantum computers will attain this aim for both Google and the NSA.

Google recently said it’s gotten closer to building a universal quantum computer. A team of Google researchers in California and Spain has built an experimental prototype of a quantum computer that can solve a wide range of problems and has the potential to be scaled up to larger systems.

The Google prototype combines the two main approaches to quantum computing. One approach constructs the computer’s digital circuits using quantum bits or qubits in specific arrangements geared to solve a specific problem. The other approach is called adiabatic quantum computing (AQC).

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