Information processing circuits in digital computers are static. In our brains, information processing circuits—neurons—evolve continuously to solve complex problems.
Now, an international research team from Japan and Michigan Technological University has created a similar process of circuit evolution in an organic molecular layer that can solve complex problems. This is the first time a brain-like "evolutionary circuit" has been realized.
This computer is massively parallel: The world's fastest supercomputers can only process bits one at a time in each of their channels. Their circuit allows instantaneous changes of ~300 bits.
Their processor can produce solutions to problems for which algorithms on computers are unknown, like predictions of natural calamities and outbreaks of disease. To prove this unique feature, they have mimicked two natural phenomena in the molecular layer: heat diffusion and the evolution of cancer cells.
The monolayer has intelligence; it can solve many problems on the same grid.
Their molecular processor heals itself if there is a defect. This remarkable self-healing property comes from the self-organizing ability of the molecular monolayer. No existing man-made computer has this property, but our brain does: if a neuron dies, another neuron takes over its function.
The work is described in the Nature Physics paper "Massively parallel computing on an organic molecular layer." It is coauthored by Ranjit Pati, of the Michigan Technological University Department of Physics. Lead author is Anirban Bandyopadhyay, National Institute for Materials Science, National Institute of Information and Communication Technology, Japan.
Marcia Goodrich | EurekAlert!
Unraveling the nature of 'whistlers' from space in the lab
15.08.2018 | American Institute of Physics
Early opaque universe linked to galaxy scarcity
15.08.2018 | University of California - Riverside
Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...
Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
Proteins must be folded correctly to fulfill their molecular functions in cells. Molecular assistants called chaperones help proteins exploit their inbuilt folding potential and reach the correct three-dimensional structure. Researchers at the Max Planck Institute of Biochemistry (MPIB) have demonstrated that actin, the most abundant protein in higher developed cells, does not have the inbuilt potential to fold and instead requires special assistance to fold into its active state. The chaperone TRiC uses a previously undescribed mechanism to perform actin folding. The study was recently published in the journal Cell.
Actin is the most abundant protein in highly developed cells and has diverse functions in processes like cell stabilization, cell division and muscle...
Scientists have discovered that the electrical resistance of a copper-oxide compound depends on the magnetic field in a very unusual way -- a finding that could help direct the search for materials that can perfectly conduct electricity at room temperatur
What happens when really powerful magnets--capable of producing magnetic fields nearly two million times stronger than Earth's--are applied to materials that...
08.08.2018 | Event News
27.07.2018 | Event News
25.07.2018 | Event News
16.08.2018 | Earth Sciences
16.08.2018 | Life Sciences
16.08.2018 | Materials Sciences