A dozen years ago, an auto accident left Nathan Copeland paralyzed, without any feeling in his fingers. Now that feeling is back, thanks to a robotic hand wired up to a brain implant.
“I can feel just about every finger – it’s a really weird sensation,” the 28-year-old Pennsylvanian told doctors a month after his surgery.
If there is any organization on the planet that has had a closer view of the coming demise of Moore’s Law, it is the Institute of Electrical and Electronics Engineers (IEEE). Since its inception in the 1960s, the wide range of industry professionals have been able to trace a steady trajectory for semiconductors, but given the limitations ahead, it is time to look to a new path—or several forks, to be more accurate.
This realization about the state of computing for the next decade and beyond has spurred action from a subgroup, led by Georgia Tech professor Tom Conte and superconducting electronics researcher, Elie Track called “Rebooting Computing,” which produces reports based on invite-only deep dives on a wide range of post-Moore’s Law technologies, many of which were cited here this week via Europe’s effort to pinpoint future post-exascale architectures. The Rebooting Computing effort is opening its doors next week for a wider-reaching, open forum in San Diego to bring together new ideas in novel architectures and modes of computing as well as on the applications and algorithm development fronts.
According to co-chair of the Rebooting Computing effort, Elie Track, a former Yale physicist who has turned his superconducting circuits work toward high efficiency solar cells in his role at startup Nvizix, Moore’s Law is unquestionably dead. “There is no known technology that can keep packing more density and features into a given space and further, the real issue is power dissipation. We just cannot keep reducing things further; a fresh perspective is needed.” The problem with gaining that view, however, is that for now it means taking a broad, sweeping look across many emerging areas; from quantum and neuromorphic devices, approximate computing, and a wide range of other technologies. “It might seem frustrating that this is general, but there is no clear way forward yet. What we all agree on is that we need exponential growth in computing engines.”
Continue reading “IEEE Reboots, Scans for Future Architectures” »
My guess is there is some QC help in this picture.
Artificial neural networks — systems patterned after the arrangement and operation of neurons in the human brain — excel at tasks that require pattern recognition, but are woefully limited when it comes to carrying out instructions that require basic logic and reasoning. This is a problem for scientists working toward the creation of Artificial Intelligence (AI) systems capable of performing complex tasks with minimal human supervision.
Could this finally help suppress and maybe even eliminate MS, Dystonia, Parkinson and other central nervous system disfunctions?
Last year, a team of Harvard University researchers revealed that they created a wire mesh doctors can inject into the brain to help treat Parkinson’s and other neurological diseases. They already successfully tested it on live mice, but now that technology is ready for the next stage: human testing. The mesh made of gold and polymers is so thin, it can coil inside a syringe’s needle and doesn’t need extensive surgery to insert. Once it’s inside your head, it merges with your brain, since the mesh has spaces where neurons can pass through.
A part of it needs to stick out through a small hole in your skull so it can be connected a computer. That connection is necessary to be able to monitor your brain activity and to deliver targeted electric jolts that can prevent neurons from dying off. By preventing the death of neurons, which triggers spasms and tremors, the device can be used to combat Parkinson’s and similar diseases. Eventually, the wire mesh could come with an implantable power supply and controls, eliminating the need to be linked to a computer.
Continue reading “Brain-fixing injectable wires will soon be tested on humans” »
Another article on the QC advancement; however, as I told folks synthetic diamonds are key plus the crystalized formation are proven to be very useful not only in QC processing; but also for the light-based (Quantum) networking. I see this only the beginning (as we have seen with Synthetic DNA data storage) for synthetic gem crystalize formations in their usage in technology. Hoping folks are checking out the 3D Printers creating these synthetics because we truly are on the path of seeing our world transform to new levels never imagined.
Abstract: By forcefully embedding two silicon atoms in a diamond matrix, Sandia researchers have demonstrated for the first time on a single chip all the components needed to create a quantum bridge to link quantum computers together.
“People have already built small quantum computers,” says Sandia researcher Ryan Camacho. “Maybe the first useful one won’t be a single giant quantum computer but a connected cluster of small ones.”
China’s latest work on QC.
If early mechanical computers were never introduced to expand people’s computing ability, the invention of the atomic bomb would have gone out the window, and human history would have been rewritten.
This highlights the significance of computer simulation in scientists’ exploration of the physical world, which also explains their strong motivation in continuously pursuing higher computing power.
Continue reading “Chinese scientists achieve high-power quantum computing” »
The DeepMind artificial intelligence (AI) being developed by Google’s parent company, Alphabet, can now intelligently build on what’s already inside its memory, the system’s programmers have announced.
Their new hybrid system – called a Differential Neural Computer (DNC) – pairs a neural network with the vast data storage of conventional computers, and the AI is smart enough to navigate and learn from this external data bank.
Continue reading “Google’s AI can now learn from its own memory independently” »
By forcefully embedding two silicon atoms in a diamond matrix, Sandia researchers have demonstrated for the first time on a single chip all the components needed to create a quantum bridge to link “People have already built small quantum computers,” says Sandia researcher Ryan Camacho. “Maybe the first useful one won’t be a single giant quantum computer but a connected cluster of small ones.”
Distributing quantum information on a bridge, or network, could also enable novel forms of quantum sensing, since quantum correlations allow all the atoms in the network to behave as though they were one single atom.
The joint work with Harvard University used a focused ion beam implanter at Sandia’s Ion Beam Laboratory designed for blasting single ions into precise locations on a diamond substrate. Sandia researchers Ed Bielejec, Jose Pacheco and Daniel Perry used implantation to replace one carbon atom of the diamond with the larger silicon atom, which causes the two carbon atoms on either side of the silicon atom to feel crowded enough to flee. That leaves the silicon atom a kind of large landowner, buffered against stray electrical currents by the neighboring non-conducting vacancies.
