Tag "neural networks"

A team of researchers from HSE University, jointly with the Yandex School of Data Analysis and Yandex Cloud, have developed a neural network for anticipating El Niño climate anomalies. The new algorithm enables more precise predictions of changes in the average surface temperature of oceanic waters that can trigger natural disasters in specific regions of the world. At present, the model is capable of predicting El Niño events one and a half years in advance, and the researchers are working towards extending the forecast period to two years.

A scientist from HSE University has developed an image recognition algorithm that works 40% faster than analogues. It can speed up real-time processing of video-based image recognition systems. The results of the study have been published in the journal Information Sciences.

Andrey Savchenko, Professor at HSE University, has developed a method that can help to enhance image identification on videos. In his project, a network was taught by a new algorithm and can now make decisions on image recognition and classification 10 times faster than before.

Staff Members of the Faculty of Informatics, Mathematics, and Computer Science at the Higher School of Economics have created an automatic system capable of identifying emotions in the sound of a voice. Their report was presented at a major international conference – Neuroinformatics-2017.