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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Review of technology trends in new space missions using a patent analytics approach

Progress in Aerospace Sciences. 2021. Vol. 125. Article 100727.
Garzaniti N., Tekic Z., Kukolj D., Golkar A.

This review paper analyzes technology trends observed in New Space missions, using a patent analytics approach. The analysis is complemented with a literature review of the subjects identified. The main objective of this review is to draw a comprehensive picture of technology trends in New Space and to discuss potential scenarios for further development of this novel type of missions. Building on the existing scientific literature, we survey alternative definitions and then propose our own definition of New Space missions as synthesis of the ongoing debate in the field.

We identified more than two hundred organizations active in the development of both upstream and downstream products and services for New Space missions. Using a commercially available patent analytics tool, we collected 933 patents protecting technologies disclosed by those organizations. We used the Latent Dirichlet Allocation (LDA), a topic modeling algorithm, to analyze patents' data and to identify the underlying structures in New Space's technology trends. Ten major topics have been identified respectively named “Remote sensing & image acquisition”, “Flying/launch systems”, “Telecommunication systems”, “Constellation management”, “Digital Processing Architectures”, “Image analysis”, “Manufacturing process & materials”, “Feature recognition and extraction”, “Antenna systems”, and “Space platforms”.

A deeper analysis of patents' claims revealed a core cluster defined as “data cluster” including data analysis topics (Remote sensing & image acquisition, Image analysis, and Feature recognition and extraction), data transmission topics (Telecommunication systems and Antenna systems from both hardware and software perspective) and related enabling technologies such as constellation management. Based on this analysis, the evolution of data cluster related technologies is surveyed in order to review the current technology state of the art as well as identifying potential areas that will benefit the most from further technology developments to improve New Space missions’ performance.

Lastly, we identify technology trends for future New Space development based on the insights obtained by the synthesis of our literature and patent survey. We discuss the key directions for future development emerging from our review, such as the use of commercial off the shelf components, the increasing use of miniaturized technology, and software defined technology.

Research target: Engineering and Technology
Priority areas: management engineering science
Language: English
DOI
Text on another site
Keywords: topic modelingtechnology trendspatent analyticsnew spaceSpace systems
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