Lifeboat Foundation

(Phys.org)—A team of researchers with the Pohang University of Science and Technology in Korea has created organic nanowire synaptic transistors that emulate the working principles of biological synapses. As they describe in their paper published in the journal Science Advances, the artificial synapses they have created use much smaller amounts of power than other devices developed thus far and rival that of their biological counterparts.

Scientists are taking multiple paths towards building next generation computers—some are fixated on finding a material to replace silicon, others are working towards building a quantum machine, while still others are busy trying to build something much more like the human mind. A hybrid system of sorts that has organic artificial parts meant to mimic those found in the brain. In this new effort, the team in Korea has reached a new milestone in creating an artificial synapse—one that has very nearly the same power requirements as those inside our skulls.

Up till now, artificial synapses have consumed far more power than human synapses, which researchers have calculated is on the order of 10 femtojoules each time a single one fires. 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.

Continue reading “Researchers create organic nanowire synaptic transistors that emulate the working principles of biological synapses” »

Over 20 years ago, I was interviewed by a group that asked me about the future of technology. I told them due to advancements such as nanotechnology that technology will definitely go beyond laptops, networks, servers, etc.; that we would see even the threads/ fibers in our clothing be digitized. I was then given a look by the interviewers that I must have walked of the planet Mars. However, I was proven correct. And, in the recent 10 years, again I informed others how and where Quantum would change our lives forever. Again, same looks and comments.

And, lately folks have been coming out with articles that they have spoken with or interviewed QC experts. And, they in many cases added their own commentary and cherry picked people comments to discredit the efforts of Google, D-Wave, UNSW, MIT, etc. which is very misleading and negatively impacts QC efforts. When I come across such articles, I often share where and why the authors have misinformed their readers as well as negatively impacted efforts and set folks up for failure who should be trying to plan for QC in their longer term future state strategy so that they can plan for budgets, people can be brought up to date in their understanding of QC because once QC goes live on a larger scale, companies and governments will not have time to catch up because once hackers (foreign government hackers, etc.) have this technology and you’re not QC enabled then you are exposed, and your customers are exposed. The QC revolution will be costly and digital transformation in general across a large company takes years to complete so best to plan and prepare early this time for QC because it is not the same as implementing a new cloud, or ERP, or a new data center, or rationalizing a silo enterprise environment.

The recent misguided view is that we’re 30 or 50 years away from a scalable quantum chip; and that is definitely incorrect. UNSW has proven scalable QC is achievable and Google has been working on making a scalable QC chip. And, lately RMIT researchers have shared with us how they have proven method to be able to trace particles in the deepest layers of entanglement which means that we now can build QC without the need of analog technology and take full advantage of quantum properties in QC which has not been the case.

Continue reading “Google’s quantum computer inches nearer after landmark performance breakthrough” »

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.

Continue reading “Long Promised Artificial Intelligence Is Looming—and It’s Going to Be Amazing” »

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.

Continue reading “Method for detecting quantum entanglement refined” »

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’

Continue reading “Miami’s DiAmante produces synthetic diamonds for high-tech applications” »

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.

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.

Continue reading “Could an implant have saved the life of the toddler attacked by an alligator?” »

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 chip architecture. While other multiple-processor chips have been created, none exceed about 300 processors, 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.

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.