Вич- ассоциированные лимфомы. Систематический обзор. 2011Hivlife Info
Освещены факторы риска и эпидемиологические аспекты лимфопролиферативных заболеваний при ВИЧ-инфекции, классификацию и типы лимфом, их диагностику,клиническое течение и лечение у ВИЧ-инфицированных пациентов. 2011
Knowledge Engineering rediscovered, Towards Reasoning Patterns for the Semant...Frank van Harmelen
We show how it is possible to apply the problem solving patterns from knowledge engineering to systems developed on the semantic web. This give us re-usable problem solving patterns for the semantic web, and would greatly help us to build and understand such systems.
Алеш Живкович. Университет Иннополис. "Оптимизация затрат на ИТ с помощью фре...Expolink
This document discusses optimizing IT costs in banks using the COBIT5 framework. It summarizes key trends in retail banking, patterns of IT spending in banks, and how best practice banks improve efficiency. COBIT5 is presented as an international framework for IT governance that bridges business and technical roles. The document outlines how COBIT5 has been adopted in many banks and regulatory bodies worldwide and its key areas for governance and management. Specific processes like APO06 for managing budgets and costs are discussed. The presentation concludes by describing how Innopolis University can help organizations implement COBIT5 and optimize their IT processes.
A bit of art-direction. What should know and be able to art director? How is it different from a designer? Why not art-direction your product is doomed?
Вич- ассоциированные лимфомы. Систематический обзор. 2011Hivlife Info
Освещены факторы риска и эпидемиологические аспекты лимфопролиферативных заболеваний при ВИЧ-инфекции, классификацию и типы лимфом, их диагностику,клиническое течение и лечение у ВИЧ-инфицированных пациентов. 2011
Knowledge Engineering rediscovered, Towards Reasoning Patterns for the Semant...Frank van Harmelen
We show how it is possible to apply the problem solving patterns from knowledge engineering to systems developed on the semantic web. This give us re-usable problem solving patterns for the semantic web, and would greatly help us to build and understand such systems.
Алеш Живкович. Университет Иннополис. "Оптимизация затрат на ИТ с помощью фре...Expolink
This document discusses optimizing IT costs in banks using the COBIT5 framework. It summarizes key trends in retail banking, patterns of IT spending in banks, and how best practice banks improve efficiency. COBIT5 is presented as an international framework for IT governance that bridges business and technical roles. The document outlines how COBIT5 has been adopted in many banks and regulatory bodies worldwide and its key areas for governance and management. Specific processes like APO06 for managing budgets and costs are discussed. The presentation concludes by describing how Innopolis University can help organizations implement COBIT5 and optimize their IT processes.
A bit of art-direction. What should know and be able to art director? How is it different from a designer? Why not art-direction your product is doomed?
This document provides an overview of data science and engineering concepts for marketing, including how to leverage data to drive innovation. Key points covered include:
- Data science concepts like metrics, KPIs, customer segmentation, and growth hacking to measure performance and optimize campaigns.
- Engineering topics like databases, SQL, NoSQL, and data warehousing to store and analyze marketing data at scale.
- Tutorials on setting up database tools and practicing SQL queries to interact with and learn from marketing data.
The document emphasizes using data and technical skills to empower marketers and drive business objectives through rapid experimentation and measurement. Technical and analytical skills are presented as essential for modern, results-driven marketing organizations.
This document outlines the stages and goals of a scientific accelerator program for children and youth in Russia. The 4-level program runs annually from September to April and aims to develop creativity in science, technology, and engineering. Participants propose innovative projects, receive mentorship and expertise, and the top 60 finalists demonstrate their prototypes. The program seeks to support the development of innovations for the Russian and global markets and identify gifted young people through a federal portfolio.
The artof of knowledge engineering, or: knowledge engineering of artGuus Schreiber
The document discusses the evolution of knowledge engineering from a small research community to widespread use on the web. It notes that while ontologies are now seen as crucial for information integration, our current conceptualizations of classes and properties may not be sufficient to understand the complexity of the web. The document also discusses challenges in ontology alignment and semantic search, and argues that combining detailed semantic modeling with statistical techniques shows promise as the field moves forward.
Principles for knowledge engineering on the WebGuus Schreiber
This document discusses principles for knowledge engineering on the web. It covers:
1) Using existing rich vocabularies and thesauri instead of creating new idiosyncratic ontologies. Align and enrich existing sources.
2) Thinking large-scale by integrating vast amounts of information as knowledge to create superhuman human-software systems.
3) Developing and reusing patterns rather than being too creative. Knowledge engineering should be disciplined.
Applying Data Engineering and Semantic Standards to Tame the "Perfect Storm" ...Cambridge Semantics
The financial industry is facing a perfect storm of disruptive drivers for data management. While regulators seek accuracy and transparency, institutions are struggling with fragmented data and IT infrastructures. The path forward is “data engineering” – applying consistent semantics with scalable infrastructure to harmonize data and enable traceable and dynamic analytics. In this webinar, we hear from industry practitioners and thought leaders on how this vision is being deployed and also see it in action.
The document discusses the requirements and components of expert systems. It notes that expert systems must have a narrow problem area requiring significant human expertise. They must perform at an expert level and be able to explain their reasoning. Structurally, they require a knowledge base containing domain expertise separated from inference procedures, as well as a working memory, inference engine, explanation facility, and user interface. The knowledge base stores facts and rules, the inference engine applies rules to derive new facts, and working memory stores known facts.
Patistic Innovations is a data engineering company founded in 2017 that helps organizations become more scalable, efficient and successful through data analytics, artificial intelligence, and cloud operations. It provides services such as building data lakes and warehouses, web scraping, big data and NoSQL solutions, internet of things applications, and other solutions like search, recommendations, and real-time data processing.
This document provides an overview of 7 key recipes for data engineering:
1. Focus on organizational contexts as the most difficult problems and durable solutions come from organizational contexts.
2. Optimize work by considering lead time, impact, and failure management when making decisions.
3. Stage data persistently using solutions like Kafka and HDFS to retain data for long periods of time.
4. Use RDDs for ETL workloads and dataframes for exploration, lightweight jobs, and dynamic jobs.
5. Leverage cogroups to efficiently link different data sources together.
6. Integrate data quality checks directly into jobs to improve resilience to bad data.
7. Design real programs using stateless computations
Wasma 2014 - Renew mining and oil gas geology via innovations iLikeGreen Ru
Clean technology and renew mining to sustainable
Waste management conference and exhibition - Chupilko lecture and presentation about transformation to sustainable resources exploration via HSE, Renewable energy, and innovation break-throw
This document provides an overview of data science and engineering concepts for marketing, including how to leverage data to drive innovation. Key points covered include:
- Data science concepts like metrics, KPIs, customer segmentation, and growth hacking to measure performance and optimize campaigns.
- Engineering topics like databases, SQL, NoSQL, and data warehousing to store and analyze marketing data at scale.
- Tutorials on setting up database tools and practicing SQL queries to interact with and learn from marketing data.
The document emphasizes using data and technical skills to empower marketers and drive business objectives through rapid experimentation and measurement. Technical and analytical skills are presented as essential for modern, results-driven marketing organizations.
This document outlines the stages and goals of a scientific accelerator program for children and youth in Russia. The 4-level program runs annually from September to April and aims to develop creativity in science, technology, and engineering. Participants propose innovative projects, receive mentorship and expertise, and the top 60 finalists demonstrate their prototypes. The program seeks to support the development of innovations for the Russian and global markets and identify gifted young people through a federal portfolio.
The artof of knowledge engineering, or: knowledge engineering of artGuus Schreiber
The document discusses the evolution of knowledge engineering from a small research community to widespread use on the web. It notes that while ontologies are now seen as crucial for information integration, our current conceptualizations of classes and properties may not be sufficient to understand the complexity of the web. The document also discusses challenges in ontology alignment and semantic search, and argues that combining detailed semantic modeling with statistical techniques shows promise as the field moves forward.
Principles for knowledge engineering on the WebGuus Schreiber
This document discusses principles for knowledge engineering on the web. It covers:
1) Using existing rich vocabularies and thesauri instead of creating new idiosyncratic ontologies. Align and enrich existing sources.
2) Thinking large-scale by integrating vast amounts of information as knowledge to create superhuman human-software systems.
3) Developing and reusing patterns rather than being too creative. Knowledge engineering should be disciplined.
Applying Data Engineering and Semantic Standards to Tame the "Perfect Storm" ...Cambridge Semantics
The financial industry is facing a perfect storm of disruptive drivers for data management. While regulators seek accuracy and transparency, institutions are struggling with fragmented data and IT infrastructures. The path forward is “data engineering” – applying consistent semantics with scalable infrastructure to harmonize data and enable traceable and dynamic analytics. In this webinar, we hear from industry practitioners and thought leaders on how this vision is being deployed and also see it in action.
The document discusses the requirements and components of expert systems. It notes that expert systems must have a narrow problem area requiring significant human expertise. They must perform at an expert level and be able to explain their reasoning. Structurally, they require a knowledge base containing domain expertise separated from inference procedures, as well as a working memory, inference engine, explanation facility, and user interface. The knowledge base stores facts and rules, the inference engine applies rules to derive new facts, and working memory stores known facts.
Patistic Innovations is a data engineering company founded in 2017 that helps organizations become more scalable, efficient and successful through data analytics, artificial intelligence, and cloud operations. It provides services such as building data lakes and warehouses, web scraping, big data and NoSQL solutions, internet of things applications, and other solutions like search, recommendations, and real-time data processing.
This document provides an overview of 7 key recipes for data engineering:
1. Focus on organizational contexts as the most difficult problems and durable solutions come from organizational contexts.
2. Optimize work by considering lead time, impact, and failure management when making decisions.
3. Stage data persistently using solutions like Kafka and HDFS to retain data for long periods of time.
4. Use RDDs for ETL workloads and dataframes for exploration, lightweight jobs, and dynamic jobs.
5. Leverage cogroups to efficiently link different data sources together.
6. Integrate data quality checks directly into jobs to improve resilience to bad data.
7. Design real programs using stateless computations
Wasma 2014 - Renew mining and oil gas geology via innovations iLikeGreen Ru
Clean technology and renew mining to sustainable
Waste management conference and exhibition - Chupilko lecture and presentation about transformation to sustainable resources exploration via HSE, Renewable energy, and innovation break-throw
IoMT - Technological Environment of Personalized Medicine and New Era of Heal...Alexandre Prozoroff
Internet of Medical Things - технологическая среда персональной медицины и новой эры здравоохранения, основанной на принципах сохранения здоровья и предупреждения заболеваний. Доклад на Московском суперкомпьютерном форуме, 29 октября 2015 года, Москва.
Александр Каплан. Стратегии исследования мозга: нравственный выбор
Юрий Войнлилов, Алена Нефедова. Личные роботы и генная инженерия: к каким инновациям готовы россияне
1. Личные роботы и генная инженерия:
к каким инновациям готовы россияне
Юрий Войнилов, ИСИЭЗ НИУ ВШЭ
Алена Нефёдова, ИСИЭЗ НИУ ВШЭ
Technology Ethics Conference
Москва, 1 октября 2016 г.
3. Замысел исследования
3
Конечным потребителем множества технологических
новинок является население. На все ли новые технологии
существует социальный запрос?
АЭС Цвентендорф (Австрия)
1978 г. – национальный референдум о запуске АЭС
За запуск - 49,53% / 50,47% - Против запуска
АЭС была построена, но не была запущена
4. Методология исследования
4
• Проведен опрос по общероссийской
репрезентативной выборке (ноябрь 2015 г.,
n=1600 человек)
• На основании ПНТР-2030* составлен
перечень из 23 технологий, которые могут
быть доступны для использования в
повседневной жизни
• В анкете задаются вопросы о желании
воспользоваться технологией, готовности
купить и причинах отказа от использования
* Прогноз научно-технологического развития России до 2030 года
5. Интерес к новым технологиям
5
1. Низкий (13-16%)
2. Умеренный (22-36%)
3. Высокий (43-51%)
11. 11
Какими образом может быть использован
потенциал «проводников» новых технологий?
Каким образом осуществляется решение «за»
или «против» технологии на индивидуальном
уровне?
Как может быть выстроена долгосрочная
методика изучения социального спроса на новые
технологии?