AI News, AI-based method could speed development of specialized nanoparticles
- On 5. juni 2018
- By Read More
AI-based method could speed development of specialized nanoparticles
A new technique developed by MIT physicists could someday provide a way to custom-design multilayered nanoparticles with desired properties, potentially for use in displays, cloaking systems, or biomedical devices.
While the approach could ultimately lead to practical applications, Soljačić says, the work is primarily of scientific interest as a way of predicting the physical properties of a variety of nanoengineered materials without requiring the computationally intensive simulation processes that are typically used to tackle such problems.
The researchers wanted to see if the neural network would be able to predict the way a new particle would scatter colors of light — not just by interpolating between known examples, but by actually figuring out some underlying pattern that allows the neural network to extrapolate.
What we want to see here is, if we show a bunch of examples of these particles, many many different particles, to a neural network, whether the neural network can develop ‘intuition’ for it.” Sure enough, the neural network was able to predict reasonably well the exact pattern of a graph of light scattering versus wavelength — not perfectly, but very close, and in much less time.
But it came with a price, and the price was that we had to first train the neural network, and in order to do that we had to produce a large number of examples.” Once the network is trained, though, any future simulations would get the full benefit of the speedup, so it could be a useful tool for situations requiring repeated simulations.
“But very often in order to set up a given inverse design problem, it takes quite some time, so in many cases you have to be an expert in the field and then spend sometimes even months setting it up in order to solve it.” But with the team’s trained neural network, “we didn't do any special preparation for this.
- On 25. september 2020
Meaningful Innovation: Whether to Design or Evolve?
Google Tech Talk September 29, 2010 Presented by Steve Jurvetson. ABSTRACT Many of the interesting challenges in computer science, nanotechnology, and ...
Learning from Bacteria about Social Networks
Google Tech Talk (more info below) September 30, 2011 Presented by Eshel Ben-Jacob. ABSTRACT Scientific American placed Professor Eshel Ben-Jacob ...
“Moore’s Law Is Really Dead: What Next?” at ACM Turing 50 Celebration
The 50-year reign of Moore's Law, which delivered a billion-fold increase in transistors per chip, is finally over. Given that transistors are no longer getting much ...
Peter Diamandis on Why A.I. Will Save the World | Impact Theory
Named one of Fortune's “50 greatest leaders of all time”, Peter Diamandis is disrupting education and business through his 19 startups and his role as founder ...
Dr. Kyung Shin Kang: How engineering technologies rebuild your body
School of Science and Engineering lecture series March 19, 2018
Clarifying the Tubulin bit/qubit - Defending the Penrose-Hameroff Orch OR Model (Quantum Biology)
Google Workshop on Quantum Biology Clarifying the tubulin bit/qubit - Defending the Penrose-Hameroff Orch OR Model of Quantum Computation in ...
Electrodynamic Signaling by the Dendritic Cytoskeleton (Google Workshop on Quantum Biology)
Google Workshop on Quantum Biology Electrodynamic Signaling by the Dendritic Cytoskeleton Presented by Jack Tuszynski October 22, 2010 ABSTRACT A ...
Nick Bostrom: "Superintelligence" | Talks at Google
Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us?
Metal Gear Solid 4 - The Movie [HD] Full Story
Movie version of the Metal Gear Solid 4: Guns of the Patriots. Haven't played MGS4 before or just want to see the epic game again? Then this video might be for ...