Caltech

Caltech research introduces 'SNIascore,' a method for spectroscopically classifying thermonuclear supernovae (SNe Ia) based on very low-resolution (R 100) data based on deep learning....

The goal of video instance segmentation (VIS) is to recognize, classify, and track object instances in the video. VIS is substantially more complex than...

This Article is written as a summay by Marktechpost Staff based on the Research Paper 'Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds'....

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

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

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...

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'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...

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...