In Mexico, a pilot project applying artificial intelligence (AI) algorithms enabled the Tax Administration Service to detect 1200 tax-evading companies and 3500 fraudulent transactions within three months – a task that would have taken 18 months using conventional methods. Despite some obvious benefits, the use of AI-based solutions to counter corruption also entails several challenges, according to experts of the HSE Laboratory for Anti-Corruption Policy (LAP) and the HSE Faculty of Law who have examined the relevant experience of several countries. A report based on the study’s* findings was presented at the XXIII Yasin (April) International Academic Conference hosted by the Higher School of Economics.
Researchers from HSE University in Perm studied how different types of perfectionists see intelligence, morality, and the world around them. They found that the basis of adaptive perfectionists’ success is their perception of the world as a comprehensible place with fixed rules, while maladaptive perfectionists fail to succeed due to their focus on a rigid system of principles that they feel obliged to follow. Early correction of inflated demands on oneself can increase chances for future success. The results of the study were published in Psihologija.
Researchers from the HSE University Centre for Bioelectric Interfaces have designed a new method for detecting diagnostic markers of epilepsy, called interictal spikes, using EEG and MEG. Capable of accounting for various errors and artefacts, this method constitutes a valuable addition to the arsenal of means for automatic analysis of electrophysiological recordings in epilepsy patients, especially when the data are noisy. Precise localisation of epileptogenic cortical structures can enhance the effectiveness of neurosurgical interventions. The study was published in the Journal of Neural Engineering.
Have you spotted a typo? Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!