Russian company specialized in neural networks is looking for international partners for technological cooperation
A Russian company from Moscow specialised in a neural networks, offers solutions for accelerated learning and lower hardware cost. The company is looking for other developers for technical cooperation and end users for commercial agreements with technical assistance, in a wide variety of sectors including metallurgy, finance, transport, education.
Type: SME's, MNE's, Universities. Role: under a technical cooperation agreement the partner provides know-how in order to adapt/develop software product for a new application or sector. Under the commercial agreement with the technical assistance the partner receive the software services and pay the fee for using the software product and provide the data for the improvement and extension of modifications of the framework product.
The Russian company from Moscow was established in 2015 and specialized in a neural networks. The company offers software services provided by their own framework product. The services allow to build a neural network for a specific task to visualize its architecture, launch the training of the network and export the trained neural network for further implementation. Trained neural networks classify objects into different categories according to the corresponding input data. The technology allows you to analyze the data and make predictions. Some of the analogs include international frameworks developed by transnational companies. Applications: the public sector (voting, access control system, security services); industrial sector: metallurgy (for example, control of metal alloys), oil, gas, engineering; financial sector: banks, insurance companies, pension funds (for example, automatic processing of appeals of citizens to the contact centers through voice recognition, which is implemented in the library ); transportation; education; agriculture (for example, determining the approximate population of parasites on the site by analyzing photos of pheromone traps) and others. The company is looking for technological cooperation to improve and extend the modifications of availability of research activities in the related industry: manufacture, production, industry, agriculture, education, health care, social security, building, transport (transportation), communication, trade, logistics. Under a technical cooperation agreement the company provides know-how in order to adapt/develop software product for a new application or sector. Under a commercial agreement with the technical assistance the company will provide the software product and necessary technical assistance.
Advantages and innovations
The main advantages of the product: company employs exclusively low-level utility software for NVIDIA and AMD graphic cards and efficiently leverage on the processor resources. Central processing unit (CPU) and Graphics processing unit (GPU) support: cornerstone processors and graphic cards. The framework runs on all key operating systems: Linux family, Windows, MacOS, iOS, and Android. Automated computing optimization: in some cases it accelerates the speed of neural network training twice. Over 60 types of available neural network modules that allow to build convolutional and recurrent neural networks and networks with arbitrary graph structure. Entry barrier for the product users is significantly lower than in any other frameworks. Expected effects of the product usage: * Economic effect due to accelerated learning and network inference. * Reduction of capital costs. * Scalability through cross-platform, which saves hardware costs. * Minimizes the human factor, replacing the automatic computer control. * Improving the quality of products. * Improving security in special and public areas, etc. The technical characteristics of the company's products comply with the requirements of the Russian computer programs standarts: Certificate of State Registration of Computer Programs № 2017618609 from 06.06.2017, issued by the Federal Service for Intellectual Property.
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