Apr 20, 2020
Scientists create tiny devices that work like the human brain
Posted by Genevieve Klien in categories: computing, neuroscience
Compared to a conventional computer, this device has a learning capability that is not software-based.
Compared to a conventional computer, this device has a learning capability that is not software-based.
Only 10 years ago, scientists working on what they hoped would open a new frontier of neuromorphic computing could only dream of a device using miniature tools called memristors that would function/operate like real brain synapses.
But now a team at the University of Massachusetts Amherst has discovered, while on their way to better understanding protein nanowires, how to use these biological, electricity conducting filaments to make a neuromorphic memristor, or “memory transistor,” device. It runs extremely efficiently on very low power, as brains do, to carry signals between neurons. Details are in Nature Communications.
As first author Tianda Fu, a Ph.D. candidate in electrical and computer engineering, explains, one of the biggest hurdles to neuromorphic computing, and one that made it seem unreachable, is that most conventional computers operate at over 1 volt, while the brain sends signals called action potentials between neurons at around 80 millivolts—many times lower. Today, a decade after early experiments, memristor voltage has been achieved in the range similar to conventional computer, but getting below that seemed improbable, he adds.
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Doctors and researchers are just beginning to document and understand the effects of heart disease in complicating and endangering recovery from the COVID-19 virus, as well as the potential impact of COVID-19 on the heart. In a new Loyola Medicine video, “Heart Disease and COVID-19,” cardiologist Asim Babar, MD, recommends that individuals with heart disease take especially good care of their health and heart during this pandemic.
This article reviews the history of digital computation, and investigates just how far the concept of computation can be taken. In particular, I address the question of whether the universe itself is in fact a giant computer, and if so, just what kind of computer it is. I will show that the universe can be regarded as a giant quantum computer. The quantum computational model of the universe explains a variety of observed phenomena not encompassed by the ordinary laws of physics. In particular, the model shows that the quantum computational universe automatically gives rise to a mix of randomness and order, and to both simple and complex systems.
Two research groups say they’ve independently built quantum devices that can operate at temperatures above 1 Kelvin—15 times hotter than rival technologies can withstand.
The ability to work at higher temperatures is key to scaling up to the many qubits thought to be required for future commercial-grade quantum computers.
Continue reading “Quantum Computing Milestone: Researchers Compute With ‘Hot’ Silicon Qubits” »
Modern circuitry operates in binaries – switches can either be 0 or 1 – which in turn restricts their computing power to discrete values. Qubits, on the other hand, can hold both values depending on their state, and derives this property from quantum physics. Qubits are modelled on subatomic particles like electrons, giving them an edge over Boolean systems. Quantum computers are difficult to operate, in part due its bulk, power consumption, hardware complexity, and reliance on low temperatures.
Intel’s “hot” qubit technology ought to address the latter concern. These qubits are capable of operating at temperatures higher than 1 Kelvin (−458F / −273K), which is the warmest temperature that quantum computers till now were able to tolerate. Computers in outer space operate at 3 Kelvin. The practical benefits of this breakthrough will manifest itself if Intel can combine quantum hardware and control circuitry on the same chip. It has hitherto been difficult for researchers to separate control electronics for qubits from the qubits themselves owing to the frigid temperature that the latter require to function.
Intel will be hoping that this development will help it fabricate more efficient chips that meld the two parts on the same chip without compromising on fidelity. The commercialization of quantum computing still remains a pipe dream, but large corporations like Google and Intel are paving the way for improvements that could make quantum computers more viable. Even so, make sure you’re wearing a scarf before you go to collect your first quantum computer.
The cost of the sanitiser would be Rs 800, and the Army can turn out 10 pieces a day.
The third innovation is a 3D-printed mask priced at Rs 1,200 apiece. Other products being devised include thermal scanners and anti-aerosalination boxes to keep doctors safe. The boxes are made up of transparent acrylic sheets and kept over patients to protect doctors and other healthcare workers from infection. Holes cut into the box help medical staff administer treatment to the patient without coming into direct contact.
The Army is just one of several sections across Indian society that are trying to chip in for the country’s battle against coronavirus, from scientists who have banded together to bust myths to IITians churning out cost-effective and innovative solutions to ease the burden on the healthcare framework.
Scientists found that a class of particles known as bosons can behave as an opposite class of particles called fermions, when forced into a line.
The research, conducted at Penn State University and funded in part by the Army Research Office, an element of U.S. Army Combat Capabilities Development Command’s Army Research Laboratory, found that when the internal interactions among bosons in a one-dimensional gas are very strong, their velocity distribution transforms into that of a gas of non-interacting fermions when they expand in one dimension. The research is published in the journal Science.
“The performance of atomic clocks, quantum computers and quantum systems rely upon the proper curation of the properties of the chosen system,” said Dr. Paul Baker, program manager, atomic and molecular physics at ARO. “This research effort demonstrates that the system statistics can be altered by properly constraining the dimensions of the system. In addition to furthering our understanding of foundational principles, this discovery could provide a method for dynamically switching a system from bosonic to fermionic to best meet the military need.”
Two new studies by researchers in Tel Aviv University and Harvard University on the subject were published in the journal Nature Biomedical Engineering on Monday.
Organs-on-a-chip were first developed in 2010 at Harvard University. Then, scientists took cells from a specific human organ — heart, brain, kidney and lung — and used tissue engineering techniques to put them in a plastic cartridge, or the so called chip. Despite the use of the term chip, which often refers to microchips, no computer parts are involved here.
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A waveguide structure allows a specific type of sound wave to travel in only one direction with near-perfect transmission and without a power source required.