Prediction, Neural network, Artificial neural network, Artificial intelligence, Futurology, Computational neuroscience

Why Is Glass Rigid? Signs of Its Secret Structure Emerge.

On Jul 8, 2020
@DeepMind shared
RT @QuantaMagazine: An artificial neural network could predict how molecules in glass move based on only a snapshot of their structure at one moment in time, implying that some hidden order is present in the structure of glass. https://t.co/Gjt5odfo9D
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At the molecular level, glass looks like a liquid. But an artificial neural network has picked up on hidden structure in its molecules that may explain why

www.quantamagazine.org
On Jul 8, 2020
@DeepMind shared
RT @QuantaMagazine: An artificial neural network could predict how molecules in glass move based on only a snapshot of their structure at one moment in time, implying that some hidden order is present in the structure of glass. https://t.co/Gjt5odfo9D
Open

Why Is Glass Rigid? Signs of Its Secret Structure Emerge.

Why Is Glass Rigid? Signs of Its Secret Structure Emerge.

At the molecular level, glass looks like a liquid. But an artificial neural network has picked up on hidden structure in its molecules that may explain why

Towards understanding glasses with graph neural networks

Towards understanding glasses with graph neural networks

Under a microscope, a pane of window glass doesn’t look like a collection of orderly molecules, as a crystal would, but rather a jumble with no discernable structure. Glass is made by ...

DeepMind’s AI models transition of glass from a liquid to a solid

DeepMind’s AI models transition of glass from a liquid to a solid

The DeepMind team trained a graph neural network that outperformed physics-inspired baselines and state-of-the-art AI models in predicting glassy dynamics.

The Physics of Glass Opens a Window Into Biology

The Physics of Glass Opens a Window Into Biology

The physicist Lisa Manning studies the dynamics of glassy materials to understand embryonic development and disease.

APS March Meeting 2019

APS March Meeting 2019

Session H18: Machine Learning Quantum States III BCEC Room: 156B Sponsoring Units: DCOMP DCMP DAMOP Chair: Juan Carrasquilla, Vector Institute Abstract: H18.00001 : Hybrid neural network - ...

AI: The End Of Premature Deaths?

AI: The End Of Premature Deaths?

Artificial Intelligence (AI) represents a drastic change in the technological evolution. At the moment, this technology is used in every field of science. We have seen the use of AI in ...

GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks

GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks

Graph Neural Networks (GNNs) are a powerful tool for machine learning on graphs. GNNs combine node feature information with the graph structure by using neural networks to pass messages ...

A Lightning-Fast Introduction to Deep Learning and TensorFlow 2.0

A Lightning-Fast Introduction to Deep Learning and TensorFlow 2.0

A hands-on guide to getting started with TensorFlow 2.0

March Meeting North Mini-Symposium

March Meeting North Mini-Symposium

Thursday, March 5 Lazaridis QNC 0101 Schedule 9:30 am Hassan Alam, Physics and Astronomy An Off-Lattice Sanchez-Lacombe Related Equation of State Extensible to Polymeric Foams 9:42 am Nizar ...

An introduction to explainable AI, and why we need it

An introduction to explainable AI, and why we need it

Examples include machine translation using recurrent neural networks, and image classification using a convolutional neural network. Reversed Time Attention Model (RETAIN) The RETAIN model ...

DeepMind claims early progress in AI-based predictive protein modelling

DeepMind claims early progress in AI-based predictive protein modelling

Google -owned AI specialist, DeepMind, has claimed a “significant milestone” in being able to demonstrate the usefulness of artificial intelligence to help with the complex task of ...

AI to predict rogue waves in fiber-optics nonlinear instabilities

AI to predict rogue waves in fiber-optics nonlinear instabilities

A combination of artificial intelligence coupled with the modeling of laser pulses in optical fiber can be used to predict the emergence of rogue waves of light from surrounding factors.

Computer science versus COVID-19

Computer science versus COVID-19

The question of how computers can contribute to controlling the COVID-19 pandemic is being posed to experts in artificial intelligence (AI) all over the world. AI tools can help in many ...

Venue

Venue

Revealing the content of the neural black box: workshop on the analysis and interpretation of neural networks for Natural Language Processing.

Six Ways AI Can Impact Retail Forecasting: Hype Vs. Reality

Six Ways AI Can Impact Retail Forecasting: Hype Vs. Reality

Retail’s obsession with Artificial Intelligence can make it seem like it’s getting applied everywhere to great effect. In demand forecasting, the gap between hype and reality is bigger than ...