Стратегическое планирование на пути к экономике знаний и искусственного интеллекта

Large-scale transformation processes initiated in the global and national economy by various drivers, including modern achievements of scientific and technical progress, primarily in the field of ICT and artificial intelligence, put forward new requirements for the methodology of strategic planning at all levels of its organizational structure. The focus of CEMI RAS researchers is on theoretical problems and practical experience of strategic planning at the micro- and mesoeconomic level, as well as new approaches and methods for modeling, forecasting and organizing business processes at domestic enterprises. Particular attention is paid to issues of assessing and improving the efficiency of their activities, analyzing the reasons that hinder the development of production and R&D, and finding ways to solve emerging problems. The problems of artificial intelligence in the social and humanitarian space are being actively studied. All of the above problems and ways to solve them are considered by the scientific community through the prism and in the context of radical changes in the global economic, technological and geopolitical landscape, high turbulence and uncertainty in economic development, increasing sanctions pressure from a number of powerful countries in the struggle for resources and political leadership, international and internal conflicts . Close attention is paid to the development and strengthening of the role of the national innovation ecosystem, the need for a multiple increase in government funding for the early stages of fundamental and applied research. Only a combination of targeted deregulation of industry priorities, primarily government, as well as corporate investments in science, technology, engineering and mathematics, education and human capital development, can strengthen the innovation base of the economy, ensure prosperity, economic and national security of the country. It is especially emphasized that in the strategic plan, priority should be given to system solutions that have scalability potential both in economic space and in economic time

Forced and self-excited oscillations of an optomechanical cavity

We experimentally study forced and self oscillations of an optomechanical cavity which is formed between a fiber Bragg grating that serves as a static mirror and between a freely suspended metallic mechanical resonator that serves as a moving mirror. In the domain of small amplitude mechanical oscillations, we find that the optomechanical coupling is manifested as changes in the effective resonance frequency, damping rate and cubic nonlinearity of the mechanical resonator. Moreover, self oscillations of the micromechanical mirror are observed above a certain optical power threshold. A comparison between the experimental results and a theoretical model that we have recently presented yields a good agreement. The comparison also indicates that the dominant optomechanical coupling mechanism is the heating of the metallic mirror due to optical absorption.Comment: 11 pages, 6 figure

Стратегическое планирование на пути к экономике знаний и искусственного интеллекта

The article provides an analytical review of the reports of the 24th All-Russian Symposium "Strategic Planning and Enterprise Development". Current issues of strategic planning of both individual enterprises, their associations, and diversified systems are considered

First low-frequency Einstein@Home all-sky search for continuous gravitational waves in Advanced LIGO data

International audienceWe report results of a deep all-sky search for periodic gravitational waves from isolated neutron stars in data from the first Advanced LIGO observing run. This search investigates the low frequency range of Advanced LIGO data, between 20 and 100 Hz, much of which was not explored in initial LIGO. The search was made possible by the computing power provided by the volunteers of the Einstein@Home project. We find no significant signal candidate and set the most stringent upper limits to date on the amplitude of gravitational wave signals from the target population, corresponding to a sensitivity depth of 48.7  [1/Hz]. At the frequency of best strain sensitivity, near 100 Hz, we set 90% confidence upper limits of 1.8×10-25. At the low end of our frequency range, 20 Hz, we achieve upper limits of 3.9×10-24. At 55 Hz we can exclude sources with ellipticities greater than 10-5 within 100 pc of Earth with fiducial value of the principal moment of inertia of 1038  kg m2

Search for intermediate mass black hole binaries in the first observing run of Advanced LIGO

International audienceDuring their first observational run, the two Advanced LIGO detectors attained an unprecedented sensitivity, resulting in the first direct detections of gravitational-wave signals produced by stellar-mass binary black hole systems. This paper reports on an all-sky search for gravitational waves (GWs) from merging intermediate mass black hole binaries (IMBHBs). The combined results from two independent search techniques were used in this study: the first employs a matched-filter algorithm that uses a bank of filters covering the GW signal parameter space, while the second is a generic search for GW transients (bursts). No GWs from IMBHBs were detected; therefore, we constrain the rate of several classes of IMBHB mergers. The most stringent limit is obtained for black holes of individual mass 100  M⊙, with spins aligned with the binary orbital angular momentum. For such systems, the merger rate is constrained to be less than 0.93  Gpc−3 yr−1 in comoving units at the 90% confidence level, an improvement of nearly 2 orders of magnitude over previous upper limits