Tag "high tech"

A new algorithm that enables precise measurement of the pitch frequency of a speech signal, a crucial parameter for identifying emotions and diagnosing illnesses, has been introduced by researchers at HSE Campus in Nizhny Novgorod. This method can operate in a noisy environment, in real time and with fewer computing resources than any currently existing analogues. The results of the study have been published in the Journal of Communications Technology and Electronics.

An international team, including researchers from the Russian Academy of Sciences Institute for Information Transmission Problems, HSE University, and Shanghai Jiao Tong University, analysed the approaches used to optimise the data transfer rates of TCP and QUIC protocols in high-frequency wireless networks. According to the scientists, cross-layer solutions provide the highest gains in data transfer rates. The paper has been published in IEEE Communications Surveys & Tutorials, one of the most influential international journals in the field of telecommunications, boasting an impressive impact factor of 35.6.

'Intelligence is ten million rules,' said Douglas Lenat, one of the creators of artificial intelligence (AI). For nearly four decades, he worked to instil 'common sense' in computers, painstakingly describing hundreds of thousands of concepts and millions of relationships between them.

Today, neural networks can easily identify emotions in texts, photos and videos. The next step is modelling them—an essential component of full-fledged intelligence in people and machines alike.

An international team of researchers with the participation of young scientists from the HSE Faculty of Computer Science and Artificial Intelligence Centre have developed a machine learning algorithm that can determine the properties of new 2D materials with point defects. The new method is 1000 times faster than quantum mechanical computations and 3.7 times more accurate than other machine learning algorithms. The results have been published in npj Computational Materials. The source code, dataset, and model weights are available in the repository under an open licence.

Researchers from HSE University and Sber Artificial Intelligence Lab are using AI to predict the location of DNA fragments in the genome which can flip over and form a mirror structure known as Z-DNA. The scientists have found that these DNA fragments overlap with known mutations which can cause severe hereditary diseases and impact a person's health, height, weight, cholesterol levels, and even determine their hair colour. The study findings have been published in Life Science Alliance.