Researchers have experimentally confirmed that electrons can tunnel through atomic defects in correlated groups, potentially enabling new sources for quantum technologies.
Researchers at MIPT have introduced the HARP algorithm, which enhances the performance of highly compressed large language models by reducing errors by up to 15%.
Researchers at the Moscow Institute of Physics and Technology have developed the HARP algorithm to optimize neural network compression and reduce computational demands on data centers.
MIPT researchers have created a navigation system that uses mobile network signals to track moving objects with an accuracy of 3 to 20 meters.
MIPT researchers have developed a new memristor capable of storing data for 12 days and increasing rewrite cycles by 20 times, advancing the development of neuromorphic processors.
MIPT students have launched The HackNet, an AI-driven platform that generates verified cybersecurity CTF tasks based on real-world vulnerabilities.
Researchers from MIPT and Sichuan University have introduced SWNN, a method that reconstructs 3D models of porous materials from a single 2D image using neural networks and the Wasserstein distance.
MIPT and NM-Tech have entered into a partnership to bridge the gap between academic research and industrial microchip manufacturing.
Shvabe and MIPT have partnered to develop energy-efficient electronics and photonics using materials only a few atoms thick.
Shvabe and MIPT have partnered to develop energy-efficient microelectronics and photonics, focusing on advanced materials for processors, memory, and sensors.
MIPT researchers have created a bio-inspired neural network that segments MRI heart images 1000 times faster than standard models while maintaining high accuracy.
MIPT researchers have developed the SG-Safe algorithm, which enables robots to navigate complex environments 10 times faster with a 17-fold reduction in accident rates.
MIPT has introduced a new AI-focused research course for postgraduate students, teaching them to build automated environments to streamline scientific work.
Researchers at MIPT have introduced a new superconducting quantum simulator architecture based on polarization transmons to study complex topological quantum states.
MIPT researchers have created a mathematical model for biomimetic underwater drones that use a fish-like bladder system to improve energy efficiency and autonomous operation.
MIPT researchers have developed the ALPACA neural network algorithm to improve data transmission efficiency and reliability in 5G and 6G networks.
