Caltech

Scientists Use A New Deep Learning Method To Add 301 Planets...

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Deep neural networks are machine learning systems that automatically learn a task if provided with necessary data.  An artificial neural network (ANN) having numerous...

A New Research On Unsupervised Deep Learning Shows That The Brain...

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The ventral visual stream is widely known for supporting the perception of faces and objects. Extracellular single neuron recordings define canonical coding principles at...

Researchers Introduce ‘AugMax’: An Open-Sourced Data Augmentation Framework To Unify The...

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Data augmentation Data augmentation in machine learning is a technique that helps reduce overfitting. It increases the amount of data by adding slightly modified copies...

Google AI and Caltech Researchers Use Ink Printers and Machine Learning...

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In today’s world, numerous metal oxides are present which can be put to use in a wide variety of applications as catalysts, adsorbents, and...

Caltech Open-Sources FNO: A Deep Learning Method For Solving PDEs (Partial...

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Caltech's Dolcit group recently open-sourced FNO, Fourier Neural Operator, a deep-learning method for Solving the PDEs (Partial differential equations). FNO being three times faster than traditional solvers...

Exploring The Power Of Data In Quantum Machine Learning

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Quantum computers have the capability to develop quantum machine learning algorithms. These algorithms can achieve better performance for modeling quantum-mechanical systems such as molecules, catalysts, or...
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