Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...

Abstract: A double-layer neural network combining a fully convolutional network (FCN) and U-Net is introduced to improve the accuracy of 2.5-D magnetotelluric (MT) inversion. The initial model ...

To some, AI heralds the next generation of learning computers. To others, it's vaporware—just endless hype. To a lucky few, it's a forgettable Spielberg movie. So what is artificial intelligence, ...

People tend to be self-preoccupied. Self-interest is good when it ensures that one's needs are met, but it can also be maladaptive; research shows that the tendency to self-focus promotes the ...

Abstract: Convolutional neural network-domain full-waveform inversion (CNNFWI) is a powerful technique for reconstructing high-resolution subsurface parameters by iteratively updating network ...

In July, Figure AI CEO Brett Adcock shared video footage of their humanoid robot Figure 02 performing laundry tasks such as picking up clothes and loading them into a washing machine. The robot cannot ...

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

Machine learning and neural nets can be pretty handy, and people continue to push the envelope of what they can do both in high end server farms as well as slower systems. At the extreme end of the ...

"Any extraterrestrial visiting or transiting via Earth, must undergo a mandatory registration process. That's standard protocol!" This amusing 7-minute short is worth a watch! Oslo-based filmmaker ...

Artificial intelligence is becoming the defining technology of our time, with AI jobs expected to grow by 23% through 2028, according to labor market data analyst Lightcast. To meet the increased ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Raman spectroscopy in biological applications faces challenges due to complex spectra, ...