Scientists map elusive liquid-liquid transition point using deep neural network
A new Nature Physics study has shed light on the long-hypothesized liquid-liquid critical point where water simultaneously exists in two distinct liquid forms, opening new possibilities for ...
Neural network model can improve understanding of human attention
Imagine watching a speaker and another person nearby is loudly crunching from a bag of chips. To deal with this, a person could adjust their attention to downplay those crunch noises or focus their ...
eLife3d
A neural network model that generates salt concentration memory-dependent chemotaxis in Caenorhabditis elegans
A neuroanatomical minimal network model was revisited to elucidate the mechanism of salt concentration memory-dependent chemotaxis observed in Caenorhabditis elegans. C. elegans memorizes the salt ...
Neuroscience News4d
AI Finds Shared Neural Patterns Across Minds
Researchers have developed a geometric deep learning approach to uncover shared brain activity patterns across individuals.
The Harvard Crimson4d
Harvard Researchers Develop New Technology to Map Neural Connections
Harvard affiliates developed a silicon chip that successfully mapped more than 70,000 synaptic connections from 2,000 rat neurons — advancing a new recording technology to address existing limitations ...
Frontiers1d
Neuromorphic and Deep Learning Paradigms for Neural Data Interpretation and Computational Neuroscience
The integration of neuromorphic computing and deep learning is revolutionizing computational neuroscience, offering new methods for interpreting complex ...
Frontiers1d
Harnessing artificial intelligence in brain imaging and neural stimulation: innovations and emerging directions
Artificial intelligence (AI) has emerged as a transformative force in the fields of brain imaging and neural stimulation, ...
Wall Street Journal2d
Arista Networks Inc.
The Price to Earnings (P/E) ratio, a key valuation measure, is calculated by dividing the stock's most recent closing price by the sum of the diluted earnings per share from continuing operations ...
GitHub5d
Basic Neural Network implementation form scratch
An artificial neural network is at its core, a mathematical equation. A neural network is combination of several neurons connected together. A hidden layer is any layer between the input layer (first) ...
GitHub2d
NBFNet: Neural Bellman-Ford Networks
A PyG re-implementation of NBFNet can be found here. You may install the dependencies via either conda or pip. Generally, NBFNet works with Python 3.7/3.8 and PyTorch ...
Yahoo Finance2d
Extreme Networks, Inc. (EXTR)
After hours: February 20 at 6:44:39 PM EST Loading Chart for EXTR ...
Nature4d
Complex networks articles from across Nature Portfolio
Traditional academic training of early career researchers is often limited by the resources of the research group and the managerial strategy of the group PIs. Complexity72h is a workshop format ...