Using machine learning to discover indicators of well-being
Credit: Pixabay/CC0 Public Domain Regardless of their personal, professional and social circumstances, individuals can experience different levels of satisfaction, fulfillment ...
Tag: learning
Combining existing sensors with machine learning algorithms improves robots’ intrinsic sense of touch
The intrinsic sense of touch. Sensitive writing or drawing on the structure (A) is automatically interpreted using convolutional neural networks ...
Wearable lung patch uses deep learning to detect asthma and COPD
The microchip sensor is slightly larger than a coin. Credit: StethX and Georgia Institute of Technology. Wheezing, a high-pitched whistling ...
Diagnostic test combining two technologies with machine learning could lead to new paradigm for at-home testing
Credit: ACS Nano (2024). DOI: 10.1021/acsnano.4c02897 A new diagnostic testing system jointly developed by the University of Chicago’s Pritzker School ...
Machine learning could lead to better flu vaccines
NIAViD is a model for detecting antigenic transitions in influenza A (H3N2) without knowledge of group identity. This figure illustrates ...
Language-like communication improves learning in artificial networks, study finds
Student feedback modifies language integration according to a utility function. Credit: Nature Communications (2024). DOI: 10.1038/s41467-024-51887-5 In all species, parents ...
Scientists combine nanotechnology and deep learning to create ultra-small electronic nose system for real-time gas identification
Schematic of a suspended 1D nanoheater built on a carbon nanowire framework. Enlarged cross-section of the integrated shadow mask made ...
Optimizing electrical stimulation therapies using machine learning
A new tool for modeling peripheral nerve stimulation has rapidly discovered optimal electrical waveforms (white traces) that, when delivered through ...
Machine learning technique predicts likely accounting fraud in supply chains
FraudGCN approach overview. The researchers constructed three types of “subgraphs” based on the type of relationships between firms: with accounting ...
How hunger influences aversive learning in fruit flies
AKHR neurons connect to DANs via ascending SEZ output neurons. Credit: Neuron (2024). DOI: 10.1016/j.neuron.2024.04.035 It has been shown that ...
