Amazing Science
1.1M views | +19 today
Follow
Amazing Science
Amazing science facts - 3D_printing • aging • AI • anthropology • art • astronomy • bigdata • bioinformatics • biology • biotech • chemistry • computers • cosmology • education • environment • evolution • future • genetics • genomics • geosciences • green_energy • language • map • material_science • math • med • medicine • microscopy • nanotech • neuroscience • paleontology • photography • photonics • physics • postings • robotics • science • technology • video
Your new post is loading...
Scooped by Dr. Stefan Gruenwald
Scoop.it!

Quantum Material Exhibits “Non-Local” Behavior That Mimics Brain Function

Quantum Material Exhibits “Non-Local” Behavior That Mimics Brain Function | Amazing Science | Scoop.it
 
Creating brain-like computers with minimal energy requirements would revolutionize nearly every aspect of modern life. Funded by the Department of Energy, Quantum Materials for Energy Efficient Neuromorphic Computing (Q-MEEN-C) — a nationwide consortium led by the University of California San Diego — has been at the forefront of this research. 

 

UC San Diego Assistant Professor of Physics Alex Frañó is co-director of Q-MEEN-C and thinks of the center’s work in phases. In the first phase, he worked closely with President Emeritus of University of California and Professor of Physics Robert Dynes, as well as Rutgers Professor of Engineering Shriram Ramanathan. Together, their teams were successful in finding ways to create or mimic the properties of a single brain element (such as a neuron or synapse) in a quantum material.

 

Now, in phase two, new research from Q-MEEN-C, published in Nano Letters, shows that electrical stimuli passed between neighboring electrodes can also affect non-neighboring electrodes. Known as non-locality, this discovery is a crucial milestone in the journey toward new types of devices that mimic brain functions known as neuromorphic computing.

 

Like many research projects now bearing fruit, the idea to test whether non-locality in quantum materials was possible came about during the pandemic. Physical lab spaces were shuttered, so the team ran calculations on arrays that contained multiple devices to mimic the multiple neurons and synapses in the brain.

 

In running these tests, they found that non-locality was theoretically possible. "In the brain it’s understood that these non-local interactions are nominal — they happen frequently and with minimal exertion,” stated Frañó, one of the paper’s co-authors. “It’s a crucial part of how the brain operates, but similar behaviors replicated in synthetic materials are scarce.

 

When labs reopened, they refined this idea further and enlisted UC San Diego Jacobs School of Engineering Associate Professor Duygu Kuzum, whose work in electrical and computer engineering helped them turn a simulation into an actual device. This involved taking a thin film of nickelate — a “quantum material” ceramic that displays rich electronic properties — inserting hydrogen ions, and then placing a metal conductor on top. A wire is attached to the metal so that an electrical signal can be sent to the nickelate. The signal causes the gel-like hydrogen atoms to move into a certain configuration and when the signal is removed, the new configuration remains.

Tanja Elbaz's curator insight, November 12, 2023 7:34 PM
 
  •  

Oxycodone without a prescription

200.0$  1,300.0$
 
 
  •  

Phentermine 37.5 mg for sale

180.0$  450.0$
-33%
 
  •  

Phentremin weight loss

150.0$ 100.0$
-83%
 
  •  

purchase Adderall online

1,500.0$ 250.0$
 
 
  •  

Where Fentanyl Patches online

200.0$  500.0$
Scooped by Dr. Stefan Gruenwald
Scoop.it!

Are You Living in a Computer Simulation? - Review and Links

Are You Living in a Computer Simulation? - Review and Links | Amazing Science | Scoop.it

 Are You Living In a Computer Simulation? Perhaps at least one of the following propositions is true: (1) the human species is very likely to go extinct before reaching a “posthuman” stage; (2) any posthuman civilization is extremely unlikely to run a significant number of simulations of their evolutionary history (or variations thereof); (3) we are possibly living in a computer simulation. It follows that the belief that there is a significant chance that we will one day become posthumans who run ancestor-simulations is false, unless we are currently living in a simulation. A number of other consequences of this result are also possible.

No comment yet.
Rescooped by Dr. Stefan Gruenwald from Science and Global Education Trends
Scoop.it!

Physicists Make the Case That Our Brains' Learning Is Controlled by Entropy

Physicists Make the Case That Our Brains' Learning Is Controlled by Entropy | Amazing Science | Scoop.it

The way our brains learn new information has puzzled scientists for decades - we come across so much new information daily, how do our brains store what's important, and forget the rest more efficiently than any computer we've built?

 

It turns out that this could be controlled by the same laws that govern the formation of the stars and the evolution of the Universe, because a team of physicists has shown that, at the neuronal level, the learning process could ultimately be limited by the laws of thermodynamics.

 

"The greatest significance of our work is that we bring the second law of thermodynamics to the analysis of neural networks," lead researcher Sebastian Goldt from the University of Stuttgart in Germany told Lisa Zyga from Phys.org. 

 

The second law of thermodynamics is one of the most famous physics laws we have, and it states that the total entropy of an isolated system always increases over time.

 

Entropy is a thermodynamic quantity that's often referred to as a measure of disorder in a system. What that means is that, without extra energy being put into a system, transformations can't be reversed - things are going to get progressively more disordered, because it's more efficient that way.

 

Entropy is currently the leading hypothesis for why the arrow of time only ever marches forwards. The second law of thermodynamics says that you can't un-crack an egg, because it would lower the Universe's entropy, and for that reason, there will always be a future and a past.

 

But what does this have to do with the way our brains learn? Just like the bonding of atoms and the arrangement of gas particles in stars, our brains find the most efficient way to organise themselves.

 

"The second law is a very powerful statement about which transformations are possible - and learning is just a transformation of a neural network at the expense of energy," Goldt explained to Zyga.


Via Kathy Bosiak
No comment yet.