Skolkovo Foundation aims to foster innovation in Russia by funding over 900 startups through grants, venture funds, and partnerships with global corporations and universities; some successful startups include Datadvance, Rock Flow Dynamics, and Synesis which have received grants and grown their staff, revenue, intellectual property, and partnerships. The foundation focuses on key areas like IT, energy efficiency, life sciences, and nuclear technologies to drive economic and technological development in Russia.
The Center for Applied Optimization at the University of Florida conducts interdisciplinary research in optimization involving faculty from various departments. Over the past 5 years, their research has included global optimization, optimization in biomedicine like predicting epileptic seizures, analyzing massive datasets like social networks, developing approximation algorithms, and algorithms for problems like multicast networks. Current projects also involve computational neuroscience, probabilistic classifiers in medicine, research on energy problems, and using Raman spectroscopy for cancer research. The Center collaborates with researchers from other institutions and hosts many visiting scholars each year.
II-SDV 2012 Automatic Query Re-Ranking in a Patent Database by Local Frequenc...Dr. Haxel Consult
This document proposes an algorithmic framework for automatically re-ranking patent search results based on parameters supplied by the searcher. The algorithm considers influencing parameters like context, concept, novelty, and distance extracted from the query as well as frequency-based parameters extracted from the documents in the result set. It generates similarity indexes for each patent based on a correlation matrix of distance, frequency, weight, and uncertainty vectors in order to provide a revised ranked list of results to the searcher. The goal is to better involve the searcher in the ranking process by utilizing their knowledge of the invention concept and relevant parameters beyond the database's initial relevancy ranking.
LexisNexis has implemented semantic searching in its TotalPatent system to improve patent search precision and recall. Semantic searching analyzes relationships between words and phrases to identify relevant concepts, rather than just matching keywords. It provides query suggestions to users but also maintains transparency through its query cloud interface. While semantic search is helpful, LexisNexis aims to empower users rather than replace their expertise by giving them control over query generation and results filtering.
Kennisalliantie Nieuwjaarsreceptie 31 januari 2013:
Prof. dr. Jacob de Vlieg: “Taming the Big Data Beast Together”
CEO en wetenschappelijk directeur van het Netherlands eScience Center (NLeSC)
II-SDV 2012 Expert System Driven Insights into Patent Quality and Competitive...Dr. Haxel Consult
IPVision provides decision support services and solutions for evaluating, managing and creating value from patents and intellectual property. This document discusses how IPVision uses an expert system to analyze patent claims to identify the strongest patents in a portfolio for further expert review. It provides an example analysis of the Motorola Mobility patent portfolio which identified the highest quality claims according to measures of breadth and structure. The analysis can then drill down to specific patents, claims, and comparisons to other companies' portfolios.
This document proposes a method for creating global maps of patent categories based on patent citation and classification data. It describes challenges in using International Patent Classification codes to group patents due to population differences between codes. The proposed solution aggregates codes to create similarly sized groups. An experiment applies this method to a dataset of European patents from 2000-2006, grouping 466 IPC codes into 35 "macro patent groupings". The results include overlays mapping the technological distances between patents held by companies like Samsung and IBM, and relating to technologies like biosensors, solar cells, and graphene. The authors conclude the method could be a new research tool, and outline next steps to improve and validate the approach.
Data Science - An emerging Stream of Science with its Spreading Reach & ImpactDr. Sunil Kr. Pandey
This is my presentation on the Topic "Data Science - An emerging Stream of Science with its Spreading Reach & Impact". I have compiled and collected different statistics and data from different sources. This may be useful for students and those who might be interested in this field of Study.
Technology Analysis Using Patent Citation Network of a Seminal PatentShanmukha S. Potti
There exists a need for a quick technology intelligence process to visualize, identify and track changes in science and technology for technology driven entities. In order to fill this gap, a methodology to portray a patent citation network of a seminal patent is proposed here. This methodology can be primarily used to determine what sub-technologies contributed to the technology in question, at what period in time and with how much impact. The same can also be extended to identify what sub technologies spun out from the technology/invention and also the application areas of the same. Patent latent variables like strength and similarity are also used to illustrate the development and flow of scientific knowledge in the technology considered. The efficacy of the methodology is demonstrated by considering patents related to light emitting GaN based compound semi-conductor devices technology (Blue LED Technology), and analyzing the findings resulting from the use of the methodology.
The Center for Applied Optimization at the University of Florida conducts interdisciplinary research in optimization involving faculty from various departments. Over the past 5 years, their research has included global optimization, optimization in biomedicine like predicting epileptic seizures, analyzing massive datasets like social networks, developing approximation algorithms, and algorithms for problems like multicast networks. Current projects also involve computational neuroscience, probabilistic classifiers in medicine, research on energy problems, and using Raman spectroscopy for cancer research. The Center collaborates with researchers from other institutions and hosts many visiting scholars each year.
II-SDV 2012 Automatic Query Re-Ranking in a Patent Database by Local Frequenc...Dr. Haxel Consult
This document proposes an algorithmic framework for automatically re-ranking patent search results based on parameters supplied by the searcher. The algorithm considers influencing parameters like context, concept, novelty, and distance extracted from the query as well as frequency-based parameters extracted from the documents in the result set. It generates similarity indexes for each patent based on a correlation matrix of distance, frequency, weight, and uncertainty vectors in order to provide a revised ranked list of results to the searcher. The goal is to better involve the searcher in the ranking process by utilizing their knowledge of the invention concept and relevant parameters beyond the database's initial relevancy ranking.
LexisNexis has implemented semantic searching in its TotalPatent system to improve patent search precision and recall. Semantic searching analyzes relationships between words and phrases to identify relevant concepts, rather than just matching keywords. It provides query suggestions to users but also maintains transparency through its query cloud interface. While semantic search is helpful, LexisNexis aims to empower users rather than replace their expertise by giving them control over query generation and results filtering.
Kennisalliantie Nieuwjaarsreceptie 31 januari 2013:
Prof. dr. Jacob de Vlieg: “Taming the Big Data Beast Together”
CEO en wetenschappelijk directeur van het Netherlands eScience Center (NLeSC)
II-SDV 2012 Expert System Driven Insights into Patent Quality and Competitive...Dr. Haxel Consult
IPVision provides decision support services and solutions for evaluating, managing and creating value from patents and intellectual property. This document discusses how IPVision uses an expert system to analyze patent claims to identify the strongest patents in a portfolio for further expert review. It provides an example analysis of the Motorola Mobility patent portfolio which identified the highest quality claims according to measures of breadth and structure. The analysis can then drill down to specific patents, claims, and comparisons to other companies' portfolios.
This document proposes a method for creating global maps of patent categories based on patent citation and classification data. It describes challenges in using International Patent Classification codes to group patents due to population differences between codes. The proposed solution aggregates codes to create similarly sized groups. An experiment applies this method to a dataset of European patents from 2000-2006, grouping 466 IPC codes into 35 "macro patent groupings". The results include overlays mapping the technological distances between patents held by companies like Samsung and IBM, and relating to technologies like biosensors, solar cells, and graphene. The authors conclude the method could be a new research tool, and outline next steps to improve and validate the approach.
Data Science - An emerging Stream of Science with its Spreading Reach & ImpactDr. Sunil Kr. Pandey
This is my presentation on the Topic "Data Science - An emerging Stream of Science with its Spreading Reach & Impact". I have compiled and collected different statistics and data from different sources. This may be useful for students and those who might be interested in this field of Study.
Technology Analysis Using Patent Citation Network of a Seminal PatentShanmukha S. Potti
There exists a need for a quick technology intelligence process to visualize, identify and track changes in science and technology for technology driven entities. In order to fill this gap, a methodology to portray a patent citation network of a seminal patent is proposed here. This methodology can be primarily used to determine what sub-technologies contributed to the technology in question, at what period in time and with how much impact. The same can also be extended to identify what sub technologies spun out from the technology/invention and also the application areas of the same. Patent latent variables like strength and similarity are also used to illustrate the development and flow of scientific knowledge in the technology considered. The efficacy of the methodology is demonstrated by considering patents related to light emitting GaN based compound semi-conductor devices technology (Blue LED Technology), and analyzing the findings resulting from the use of the methodology.
Themes and objectives:
To position FAIR as a key enabler to automate and accelerate R&D process workflows
FAIR Implementation within the context of a use case
Grounded in precise outcomes (e.g. faster and bigger science / more reuse of data to enhance value / increased ability to share data for collaboration and partnership)
To make data actionable through FAIR interoperability
Speakers:
Mathew Woodwark,Head of Data Infrastructure and Tools, Data Science & AI, AstraZeneca
Erik Schultes, International Science Coordinator, GO-FAIR
Georges Heiter, Founder & CEO, Databiology
IC-SDV 2018 The International Conference on Search, Data and Text Mining and ...Dr. Haxel Consult
The 2018 IC-SDV Conference in Nice, 23 - 24 April 2018
The IC-SDV meeting takes place in Nice in April 2018 for an intensive two days. Venue is the Hotel Plaza in central Nice. The meeting provides an international forum for those in the field of advanced search applications, data and text mining, and visualization technology. The primary focus is on tools for intelligence and the meeting examines the requirements of specialists in scientific and technical information. A new focus is on Machine Learning, Machine Translation, Artificial Intelligence (AI) and Deep Learning in the area of Scientific Information. We decided to combine the topics of the ICIC and II-SDV-Meeting and we will run only one conference in Europe in 2018.
The meeting will be of interest to those who wish to update themselves and keep in touch with the leading edge of information search and analysis technologies; it features approximately 22 speakers for the two days. There will be an adjacent, focused exhibition to complement the conference programme and workshops on Sunday (22 April) and Wednesday (25 April).
It seems that AI is also becoming a buzzword, like design thinking. Everyone is talking about AI or wants to have AI, and sees all the ideas and benefits – that’s fine, but how do you get started? But what’s different now? Three innovations have finally put AI on the fast track: Big Data, with the internet and sensors everywhere; massive computing power, especially through the Cloud; and the development of breakthrough algorithms, so computers can be trained to accomplish more sophisticated tasks on their own with deep learning. If you use new technology, you need to explore and know what’s possible. With design thinking, it aids to outline the steps and define the ways in which you’re going to create the solution. Starting with mapping the customer journey, defining who will be using that service enhanced with intelligent technology, or who will benefit and gain value from it. We discuss how these two worlds are coming together, and how you get started to transform your venture with Artificial Intelligence using Design Thinking.
Speaker: Claudio Mirti, Principal Solution Specialist – Data & AI, Microsoft
A Novel Integrated Framework to Ensure Better Data Quality in Big Data Analyt...IJECEIAES
With advent of Big Data Analytics, the healthcare system is increasingly adopting the analytical services that is ultimately found to generate massive load of highly unstructured data. We reviewed the existing system to find that there are lesser number of solutions towards addressing the problems of data variety, data uncertainty, and data speed. It is important that an errorfree data should arrive in analytics. Existing system offers single-hand solution towards single platform. Therefore, we introduced an integrated framework that has the capability to address all these three problems in one execution time. Considering the synthetic big data of healthcare, we carried out the investigation to find that our proposed system using deep learning architecture offers better optimization of computational resources. The study outcome is found to offer comparatively better response time and higher accuracy rate as compared to existing optimization technqiues that is found and practiced widely in literature.
The Paris-Saclay Center for Data ScienceBalázs Kégl
My slides from the MASTODONS (big data) workshop of the CNRS.
http://www.cnrs.fr/mi/spip.php?article631&lang=fr
On defining and managing the data science ecosystem at Université Paris-Saclay. Challenges and tools.
This document summarizes two real-world use cases for digital preservation: embedded systems development and financial engineering. For the embedded systems case, the document describes research on developing an autonomous underwater vehicle and identifies relevant data formats, software tools, and hardware. For the financial engineering case, it outlines research calibrating an inflation model using treasury bond data from sources like Bloomberg and analyzing it in MATLAB. Both cases could benefit from emulation to help preserve workflows and access data over the long term.
Digital preservation faces challenges of scalability, cost, and uncertainty. The thesis proposes applying computational intelligence techniques like swarm intelligence to develop self-preserving digital objects that can autonomously manage their own preservation through replication and format migration using a social network environment. The research will study appropriate behaviors for self-preserving objects, their architecture as intelligent agents, and how social networks can support preservation. Preliminary work in modeling object behaviors has been done, and the status reports completing literature review, implementing simulation platforms, experimenting in identified research areas, and publishing results to develop and test a full prototype.
This document provides a summary of a candidate's skills and work experience for a position in analytics, data mining, and machine learning. The candidate has over 15 years of experience in data analysis, machine learning, artificial intelligence, and developing predictive models. They have extensive experience developing fraud detection models for credit cards and other domains. They also have a PhD in Computer Science and have published papers in conferences on topics like decision trees and feature selection.
This document provides an overview of the ORCHID fundamental research project, a collaboration between Caltech and universities in Austria, Germany, Switzerland, and Canada, funded by DARPA. The project aims to advance the field of optomechanics, using light to manipulate mechanical devices at the nanoscale. It has produced some milestone experimental findings despite challenges of multi-university collaboration. Key coordination mechanisms that supported the virtual organization included graduate student exchanges, face-to-face meetings, and facilitation from the DARPA program manager. The experience offers insights into managing multi-organizational collaboration for fundamental research.
Reproducibility in human cognitive neuroimaging: a community-driven data sha...Nolan Nichols
The document summarizes Nolan Nichols' dissertation defense on a community-driven data sharing framework for integrating and interoperating neuroimaging provenance information. His research aimed to enhance the reusability of neuroimaging data and workflows by advancing data exchange standards that incorporate provenance. Through two phases involving multiple collaborations, he extended existing standards and developed neuroimaging data models and web services to compute and discover provenance from brain imaging workflows in order to improve reproducibility in cognitive neuroimaging research.
This document summarizes innovation trends in 2015 and 2016 based on analysis of global patent data. Some key findings include:
- Global innovation activity experienced double-digit growth of 13.7% in 2015, driven by increased collaboration between organizations.
- Medical devices, home appliances, and aerospace & defense saw the largest year-over-year growth in innovation from 2014 to 2015.
- Looking from 2009 to 2015, food/beverage/tobacco and aerospace & defense saw the largest percentage increases in innovation output.
- Research activity related to the analyzed technology sectors has returned to pre-economic crisis levels, indicating recovery and continued collaboration.
Themes and objectives:
To position FAIR as a key enabler to automate and accelerate R&D process workflows
FAIR Implementation within the context of a use case
Grounded in precise outcomes (e.g. faster and bigger science / more reuse of data to enhance value / increased ability to share data for collaboration and partnership)
To make data actionable through FAIR interoperability
Speakers:
Mathew Woodwark,Head of Data Infrastructure and Tools, Data Science & AI, AstraZeneca
Erik Schultes, International Science Coordinator, GO-FAIR
Georges Heiter, Founder & CEO, Databiology
IC-SDV 2018 The International Conference on Search, Data and Text Mining and ...Dr. Haxel Consult
The 2018 IC-SDV Conference in Nice, 23 - 24 April 2018
The IC-SDV meeting takes place in Nice in April 2018 for an intensive two days. Venue is the Hotel Plaza in central Nice. The meeting provides an international forum for those in the field of advanced search applications, data and text mining, and visualization technology. The primary focus is on tools for intelligence and the meeting examines the requirements of specialists in scientific and technical information. A new focus is on Machine Learning, Machine Translation, Artificial Intelligence (AI) and Deep Learning in the area of Scientific Information. We decided to combine the topics of the ICIC and II-SDV-Meeting and we will run only one conference in Europe in 2018.
The meeting will be of interest to those who wish to update themselves and keep in touch with the leading edge of information search and analysis technologies; it features approximately 22 speakers for the two days. There will be an adjacent, focused exhibition to complement the conference programme and workshops on Sunday (22 April) and Wednesday (25 April).
It seems that AI is also becoming a buzzword, like design thinking. Everyone is talking about AI or wants to have AI, and sees all the ideas and benefits – that’s fine, but how do you get started? But what’s different now? Three innovations have finally put AI on the fast track: Big Data, with the internet and sensors everywhere; massive computing power, especially through the Cloud; and the development of breakthrough algorithms, so computers can be trained to accomplish more sophisticated tasks on their own with deep learning. If you use new technology, you need to explore and know what’s possible. With design thinking, it aids to outline the steps and define the ways in which you’re going to create the solution. Starting with mapping the customer journey, defining who will be using that service enhanced with intelligent technology, or who will benefit and gain value from it. We discuss how these two worlds are coming together, and how you get started to transform your venture with Artificial Intelligence using Design Thinking.
Speaker: Claudio Mirti, Principal Solution Specialist – Data & AI, Microsoft
A Novel Integrated Framework to Ensure Better Data Quality in Big Data Analyt...IJECEIAES
With advent of Big Data Analytics, the healthcare system is increasingly adopting the analytical services that is ultimately found to generate massive load of highly unstructured data. We reviewed the existing system to find that there are lesser number of solutions towards addressing the problems of data variety, data uncertainty, and data speed. It is important that an errorfree data should arrive in analytics. Existing system offers single-hand solution towards single platform. Therefore, we introduced an integrated framework that has the capability to address all these three problems in one execution time. Considering the synthetic big data of healthcare, we carried out the investigation to find that our proposed system using deep learning architecture offers better optimization of computational resources. The study outcome is found to offer comparatively better response time and higher accuracy rate as compared to existing optimization technqiues that is found and practiced widely in literature.
The Paris-Saclay Center for Data ScienceBalázs Kégl
My slides from the MASTODONS (big data) workshop of the CNRS.
http://www.cnrs.fr/mi/spip.php?article631&lang=fr
On defining and managing the data science ecosystem at Université Paris-Saclay. Challenges and tools.
This document summarizes two real-world use cases for digital preservation: embedded systems development and financial engineering. For the embedded systems case, the document describes research on developing an autonomous underwater vehicle and identifies relevant data formats, software tools, and hardware. For the financial engineering case, it outlines research calibrating an inflation model using treasury bond data from sources like Bloomberg and analyzing it in MATLAB. Both cases could benefit from emulation to help preserve workflows and access data over the long term.
Digital preservation faces challenges of scalability, cost, and uncertainty. The thesis proposes applying computational intelligence techniques like swarm intelligence to develop self-preserving digital objects that can autonomously manage their own preservation through replication and format migration using a social network environment. The research will study appropriate behaviors for self-preserving objects, their architecture as intelligent agents, and how social networks can support preservation. Preliminary work in modeling object behaviors has been done, and the status reports completing literature review, implementing simulation platforms, experimenting in identified research areas, and publishing results to develop and test a full prototype.
This document provides a summary of a candidate's skills and work experience for a position in analytics, data mining, and machine learning. The candidate has over 15 years of experience in data analysis, machine learning, artificial intelligence, and developing predictive models. They have extensive experience developing fraud detection models for credit cards and other domains. They also have a PhD in Computer Science and have published papers in conferences on topics like decision trees and feature selection.
This document provides an overview of the ORCHID fundamental research project, a collaboration between Caltech and universities in Austria, Germany, Switzerland, and Canada, funded by DARPA. The project aims to advance the field of optomechanics, using light to manipulate mechanical devices at the nanoscale. It has produced some milestone experimental findings despite challenges of multi-university collaboration. Key coordination mechanisms that supported the virtual organization included graduate student exchanges, face-to-face meetings, and facilitation from the DARPA program manager. The experience offers insights into managing multi-organizational collaboration for fundamental research.
Reproducibility in human cognitive neuroimaging: a community-driven data sha...Nolan Nichols
The document summarizes Nolan Nichols' dissertation defense on a community-driven data sharing framework for integrating and interoperating neuroimaging provenance information. His research aimed to enhance the reusability of neuroimaging data and workflows by advancing data exchange standards that incorporate provenance. Through two phases involving multiple collaborations, he extended existing standards and developed neuroimaging data models and web services to compute and discover provenance from brain imaging workflows in order to improve reproducibility in cognitive neuroimaging research.
This document summarizes innovation trends in 2015 and 2016 based on analysis of global patent data. Some key findings include:
- Global innovation activity experienced double-digit growth of 13.7% in 2015, driven by increased collaboration between organizations.
- Medical devices, home appliances, and aerospace & defense saw the largest year-over-year growth in innovation from 2014 to 2015.
- Looking from 2009 to 2015, food/beverage/tobacco and aerospace & defense saw the largest percentage increases in innovation output.
- Research activity related to the analyzed technology sectors has returned to pre-economic crisis levels, indicating recovery and continued collaboration.
The document summarizes key findings from the OECD Science, Technology and Industry Scoreboard 2015. It finds that a small number of countries, institutions, and businesses concentrate frontier technologies and high-impact science. Government support is important for long-term research to address global challenges. International collaboration and scientist mobility help spread innovation more widely. The Scoreboard monitors innovation performance across countries according to pillars like knowledge, skills, competitiveness, and societal impacts.
This document provides a summary of Austria's roadmap for enterprise linked data. It begins with an introduction to the PROPEL project, which conducted an exploratory study on the use of linked data in businesses from 2015-2016. Key findings include:
1) An analysis of sectors with high, medium, and lower potential for linked data adoption based on their structural characteristics and technological dynamics. High potential sectors are highly networked, data-intensive, and have embraced web technologies.
2) Interviews and a survey identified market forces driving interest in linked data, including efficiency gains, digital transformation efforts, and an increasingly data-driven global economy.
3) A review of linked data technology research trends over time
How Can AI and IoT Power the Chemical Industry?Xiaonan Wang
AI, IoT and Blockchain tech briefing to the industry to showcase our research at NUS.
by Dr. Xiaonan Wang
Assistant Professor
NUS Department of Chemical & Biomolecular Engineering
The document outlines the vision, mission, and strategy of the STFC (Science and Technology Facilities Council) in implementing e-Science technologies. The goals are to exploit data from STFC facilities through innovative infrastructure, integrate activities nationally and internationally, and improve computation and data management capabilities to enable new scientific discoveries.
The Developing Needs for e-infrastructuresguest0dc425
The document discusses the developing needs for e-infrastructures to support research. It summarizes the key recommendations from the OSI report, which include providing researchers with access to resources, facilities to discover resources, confidence in resource quality and integrity, and assurance of future accessibility. The JISC committee is developing a new strategy to address priorities around integrating data from multiple sources and enabling collaboration across boundaries.
In this deck from the HPC User Forum, Rick Stevens from Argonne presents: AI for Science.
"Artificial Intelligence (AI) is making strides in transforming how we live. From the tech industry embracing AI as the most important technology for the 21st century to governments around the world growing efforts in AI, initiatives are rapidly emerging in the space. In sync with these emerging initiatives including U.S. Department of Energy efforts, Argonne has launched an “AI for Science” initiative aimed at accelerating the development and adoption of AI approaches in scientific and engineering domains with the goal to accelerate research and development breakthroughs in energy, basic science, medicine, and national security, especially where we have significant volumes of data and relatively less developed theory. AI methods allow us to discover patterns in data that can lead to experimental hypotheses and thus link data driven methods to new experiments and new understanding."
Watch the video: https://wp.me/p3RLHQ-kQi
Learn more: https://www.anl.gov/topic/science-technology/artificial-intelligence
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
This talk presents areas of investigation underway at the Rensselaer Institute for Data Exploration and Applications. First presented at Flipkart, Bangalore India, 3/2015.
The document discusses the context and goals of e-science and e-research, including enabling collaboration through distributed computation and data sharing. It provides examples of UK e-science initiatives like national centers and describes the role of the National e-Science Centre in Glasgow in supporting various projects through grid computing resources and expertise. Security challenges around authentication, authorization and auditing are discussed in the context of user-oriented and federated approaches.
Next generation sequencing: research opportunities and bioinformatic challenges. A seminar I gave for the Computational Life Science (Univ. of Oslo) seminar series, March 2, 2011
The document provides information about the Third International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT-2022) organized by the Department of Electronics and Instrumentation Engineering of Vimal Jyothi Engineering College. The conference aims to provide a platform for researchers, academics and scientists to present recent works in intelligent computing, data science, smart systems, signal processing, control and instrumentation, IOT and cloud computing, and electrical systems. Key details include paper submission guidelines, important dates, registration fees, accommodation options, and contact information for the organizing committee.
1) Jordan Engbers is a chief scientist and CTO who has experience in bioinformatics, neuroscience, clinical data science, and founding two data science companies.
2) Data science is a multidisciplinary field that uses techniques from many areas like statistics, computer science, and domain knowledge to understand data and help improve decision making.
3) The impact of data science comes from developing data products - tools that deliver insights from data to drive better decisions. This requires both scientific rigor and software engineering practices.
Развитие Сколково на примере Кластера ядерных технологий: цели, приоритеты и ...Alexander Dubynin
The document discusses Russia's innovation ecosystem, centered around Skolkovo Innovation Center. It provides details on:
1) Skolkovo's mission to diversify and grow Russia's economy through innovation and commercialization of technology.
2) Key elements that make up the Skolkovo ecosystem, including startups, a technological university, funding from VCs, partnerships with global corporations, and infrastructure.
3) Specifics on the different technology clusters in Skolkovo, including priorities, applications, participants, and industrial partners in areas like biomedical technologies, energy efficiency, IT, space, and nuclear technologies.
HPCC Systems Engineering Summit Presentation - Collaborative Research with FA...HPCC Systems
Presenters: Borko Furht, Department of Electrical & Computer Engineering and Computer Science, FAU
In 2009, Florida Atlantic University (FAU) received a grant from the National Science Foundation (NSF) to create the site of the Center for Advanced Knowledge Enablement (CAKE) as an Industry/University Cooperative Research Center (I/UCRC) that provides a framework for interaction between university faculty and industry in the areas of information technology, communication, and computing. LexisNexis is currently one of the CAKE industry members. In this session, we will talk about the significance of the membership, joint accomplishments, contributions back to the HPCC Systems community, as well as sharing experiences on including a Data Intensive Computing program in the FAU curriculum.
NOTE: This is one of 3 presentations for this session and is the 2nd one shown in the accompanying YouTube video.
In this invited keynote talk at Europe's largest event on printed electronics, PARC Vice President and Director of the Electronic Materials and Devices Laboratory Dr. Ross Bringans highlights the opportunity in flexible and printed electronics applications, shares examples from printed transistors and circuits, and discusses what the industry needs for growth.
Every company eventually encounters that “do-or-die” moment when the product cycle reaches the maturity stage and it’s necessary to pursue innovations. Borys Pratsiuk, Ph.D., Head of R&D Engineering at Ciklum describes how companies across all sectors and industries can use Research and Development as a Service to update and improve their products or services.
Workshop 1. Architecting Innovative Graph Applications
Join this hands-on workshop for beginners led by Neo4j experts guiding you to systematically uncover contextual intelligence. Using a real-life dataset we will build step-by-step a graph solution; from building the graph data model to running queries and data visualization. The approach will be applicable across multiple use cases and industries.
National scale research computing and beyond pearc panel 2017Gregory Newby
The panel discussed opportunities for and challenges to international collaboration among national and international research computing organizations. Panelists represented Compute Canada, PRACE, EGI, and XSEDE. They described their organizations' user communities, which span many scientific domains, as well as practices like resource allocation and support that could benefit from sharing. Big challenges include securing long-term funding and balancing local needs with international cooperation. The panel saw potential for collaboration on operational practices, shared resources, and addressing challenges no single organization can solve alone.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
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Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
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Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
3. Skolkovo enabling components
924 startups
Technological
University
Virtual Skolkovo
52 VCs: $650M
Ideas
Ideas
Knowledge
Knowledge
People
People
Funding
Funding
Technologies and market access
Technologies and market access
Infrastructure & community
Infrastructure & community
32 global
corporations
Office and R&D
infrastructure
4. Ideas: fostering ecosystem
Number of innovative
startups
Energy Efficiency
Energy Efficiency
&
&
Cleantech
Cleantech
Hardware,
Hardware,
Software
Software
& Distributed
& Distributed
Computation
Computation
Pharmaceuticals,
Pharmaceuticals,
Biotechnology,
Biotechnology,
Medical Devices
Medical Devices
&
&
BioIT
BioIT
Space
Space
Technologies,
Technologies,
Telecomm
Telecomm
&
&
Navigation
Navigation
Systems
Systems
143 patent applications submitted
Nuclear &
Nuclear &
Radiation
Radiation
Technologies,
Technologies,
Materials
Materials
&
&
Engineering
Engineering
5. IT CLUSTER: KEY OBJECTIVES
Mission
Objectives
5
Goals and tools
5
7. 7
Quantitative Indicators
In 2012 on average
14 new residents per month.
In 2013 on average
8 new residents per month.
In 2012 on average 65
applications per
month.
In 2013 on average 35
applications per
month.
As of September 10, 2013
10. IT Cluster Foresight (2.0)
• Result of over 1,700 reviewed projects
• Interaction with leading industry institutions
Low
High
Long Term Potential
High Priority Areas
High
Low Priority Areas
“No Regret” Areas
Low
11. New search and recognition technology
New solutions for searching and recognition
of audio, video and images
Application of semantics (sense) for
information search
New technologies in computer aided
translation systems
New development and testing tools
New programming languages, new visual
software development toolsl
Efficient requirements management systems
and system engineering tools, tools for
verification and validation in development
complex software systems.
New environments and methods for teaching
software engineering, programming
languages and usage of IT technologies.
Development of Communication and
Navigation Technologies
New way of increasing efficiency of existing
communications including wireless and
optical communications
New wired and wireless communication
technologies
New geoinformation and navigation systems
(including global positioning technologies)
Development of new high performance
computing and data storage systems
New algorithms for high parallel computing;
Development of new communication
topology and interaction protocols for
improvement of energy efficiency, failure
resistance and reduction of exchange time
between system elements.
New applications for supercomputers.
Exaflop computers;
New software for high-performance and
reliable data storage systems
Secure Information Technologies
New biometric and identification systems
New applications and infrastructure solutions
for increasing internet security
New applications and infrastructure solutions
for cyber threats prevention and cyber
investigations
New applications and infrastructure solutions
for data protection in cloud and distributed
computation
Tools and Means for
Future Information
Technologies
Development
IT
New data storage, processing and
transmission methods (More than Moore)
Development of new nanodevices for
information storage and processing for
energy efficient equipment
New research and development in photonics,
nanophotonics and metamaterials, including
integrated optical systems; fully optical
computing devices; data storage and
exchange devices and hybrid optical
components for conventional computers
New ideas in quantum informatics
Development of new high speed electronic
devices and materials for prospective
acquisition, storage, processing and
information transmission methods including
wireless networks.
New materials and nanotechnologies for
manufacturing of optoelectronic and
electronic devices and circuits
Applications
with
New Technologies
Processing of Large Data Arrays (big data
problem)
Development of new methods and algorithms
for collection, storage and intellectual
analysis of large volume of data
New methods of distributed processing of
Ubiquitous and Cloud Computing
New software for interaction between
autonomous (including transport and mobile)
devices
New technological elements of data
transmission network infrastructure that link
New Human-Machine Interfaces for Any
Applications
New methods for usage of gestures, vision
and voice interfaces for computer systems
control
New methods and software for
neurocomputers’ interfaces
12. New search and recognition technology
New solutions for searching and recognition
of audio, video and images
Application of semantics (sense) for
information search
New technologies in computer aided
translation systems
New data storage, processing and
transmission methods (More than Moore)
Development of new nanodevices for
information storage and processing for
energy efficient equipment
New research and development in photonics,
nanophotonics and metamaterials, including
integrated optical systems; fully optical
computing devices; data storage and
exchange devices and hybrid optical
components for conventional computers
New ideas in quantum informatics
Development of new high speed electronic
devices and materials for prospective
acquisition, storage, processing and
information transmission methods including
wireless networks.
New materials and nanotechnologies for
manufacturing of optoelectronic and
electronic devices and circuits
Processing of Large Data Arrays (big data
problem)
Development of new methods and algorithms
for collection, storage and intellectual
analysis of large volume of data
New methods of distributed processing of
New development and testing tools
New programming languages, new visual
software development tools
Efficient requirements management systems
and system engineering tools, tools for
verification and validation in development
complex software systems.
New environments and methods for teaching
software engineering, programming
languages and usage of IT technologies.
Development of Communication and
Navigation Technologies
New way of increasing efficiency of existing
communications including wireless and
optical communications
New wired and wireless communication
technologies
New geoinformation and navigation systems
(including global positioning technologies)
Development of new high performance
computing and data storage systems
New algorithms for high parallel computing;
Development of new communication
topology and interaction protocols for
improvement of energy efficiency, failure
resistance and reduction of exchange time
between system elements.
New applications for supercomputers.
Exaflop computers;
New software for high-performance and
reliable data storage systems
Secure Information Technologies
New biometric and identification systems
New applications and infrastructure solutions
for increasing internet security
New applications and infrastructure solutions
for cyber threats prevention and cyber
investigations
New applications and infrastructure solutions
for data protection in cloud and distributed
computation
Ubiquitous and Cloud Computing
New software for interaction between
autonomous (including transport and mobile)
devices
New technological elements of data
transmission network infrastructure that link
New Human-Machine Interfaces for Any
Applications
New methods for usage of gestures, vision
and voice interfaces for computer systems
control
New methods and software for
neurocomputers’ interfaces
13. Our approach to research
13
Practical Use?
Quest for Basic Science
NO
YES
Only Basic Science.
“Bohr”
Basic Science for solving
practical problems.
“Pasteur”.
YES
NO
No name
Only practical use research.
“Edison”.
Skolkovo
14. How we select projects?
•
•
Panel of 126 world class experts selects projects;
For each incoming project randomly selected 10 experts answer a set of six
important questions:
1.
2.
3.
4.
5.
6.
Does project corresponds to one of clusters foresights?
Does product or technology has potential competitive advantage over world’s
similar products or technologies?
Does product or technology has significant commercial opportunity on Russian
market (minimum) and world market (in perspective)?
Is project theoretically feasible and don’t contradict fundamental scientific
principles?
Do key researchers, developers and managers have necessary knowledge and
experience for successful project implementation?
Does project team has a member (or few members) with international experience in
research, development and commercialization of projects’ results?
If majority of experts answer “Yes”, then project is granted Skolkovo’s status!
If majority of experts answer “Yes”, then project is granted Skolkovo’s status!
15. 15
New audio, video, image search and recognition solutions
Processing and analysis of large data arrays
Ubiquitous and cloud computing
Secure information technologies
New development and testing tools
New human-machine interfaces
Developing communications and navigation technologies
New methods for data storage, processing, and transfer
New methods and software for predictive modelling of
complex engineering solutions
Developing new high-performance computation and data storage
systems
New integrated sensors and autonomous transportation
16. Applied Research Centers
Applied Research Center for
Computer Networking
16
Russian Quantum Center
МГУ имени М.В.
Ломоносова
GOAL: Developing new methods and algorithms to
enhance networks efficiency based on industrial EEIT
technologies
GOAL: designing absolutely secure DTNs (up to
300-500 km); submicron optical transistors and
electronics; New systems for supersensitive
tomography
17. Venture Funds Investment
14 VF
ALMAZ CAPITAL, FORESIGHT
VENTURES, S-GROUP, ИВФ
РЕСПУБЛИКИ ТАТАРСТАН, LETA
GROUP, EXIGEN, VTB, LEADER, RUNA,
SOFTLINE, AMHURST CAPITAL, ITECH
CAPITAL, QUADRIGA CAPITAL
SPEAKTOIT – ИНВЕСТИЦИИ
Projects:
LINGVA LEO – $2MLN ОТ
RUNA CAPITAL
DISPLAIR – $1MLN ОТ LETA
GROUP
ОТ INTEL CAPITAL
TUTORION – ИНВЕСТИЦИИ ОТ
INTEL CAPITAL, ТАКЖЕ
ПРОЕКТ ВОШЕЛ В 10КУ
ЛУЧШИХ ПРОЕКТОВ ГОДА ПО
JELASTIC - $3,5MLN RUNA
CAPITAL, ALMAZ CAPITAL И
FORESIGHT VENTURES
ВЕРСИИ STARTUPPOINT
17
27. MEDIA PROJECTS
Digital Projects:
Developing your own
mobile application
Digital Projects: One Pass
and digital passwords.
New approach to network
security
Digital Projects Program
will tell you how to be
successful
Digital Projects: Launching
complex 3D-applications
from a common browser
Digital Projects: “Smart”
TV combines TV and
internet
Digital Projects: How
startup projects may help
musicians make money
Digital Projects:
Programmers trained
logistics specialists to
deliver cargoes on time
27
The first release of the
Digital Projects in 2013
will tell about Stream Labs
Projects
Digital Projects: Business
social network
Digital Projects:
Developing your own
mobile application
Digital Projects: One Pass and
digital passwords. New
approach to network security
Digital Projects: Launching
complex 3D-applications
from a common browser
Digital Projects: How startup
projects may help musicians
make money
29. 05 ФЕВРАЛЯ 2013 ГОДА
But I have a dream. The
industrial revolution and
economic growth continue.
This is because astrophysicists
find a huge cosmic rock on
course to hit Earth in 50 years.
This should be scary enough.
The world can surely deflect
this threat but will need to
develop new knowledge and
technologies. Finally, in my
dream, humans realise social
media can make some people
very rich but cannot save the
planet. The latter requires new
fundamental discoveries.
FT.COM
33. Rock Flow Dynamics
www.community.sk.ru/net/1110084
Project
Проект
Rock Flow Dynamics develops software solutions for strategic objectives in oil and gas fields
development simulation. The company’s flagship product is tNavigator, parallel interactive reservoir
simulation package.
Суть
Innovation
инновации
Grant received
28.2 mln.Rub
Figures
Staff: 50 persons
Revenue:
•1Q 13: 38 mln.Rub
•2Q 13: 35.6
mln.Rub
•2012: 60 mln.Rub
•Co-funding: 86
mln.Rub
IP: 6
Vasily
Shelkov
Partners and clients of the Project:
Нужны дополнительные эксперты, которые понимают логику и транснациональных компаний, и венчурных фондов, и научных центров.
Происходит снижение как потока заявок, так числа участников. «Качество» новых участников удается удерживать на достаточно высоком уровне.
Просьба к КНС: помочь с привлечением новых перспективных проектов
Основные показатели соответствующие нашим KPI
Формирование спроса – ключевое условие запуска инновационного процесса.
Мы оцениваем существующий на рынке (в России и за рубежом) спрос с разных позиций.
МЫ ФОРМИРУЕМ ПАРТНЕРСТВА С ГЛОБАЛЬНЫМИ ВЕНЧУРНЫМИ ФОНДАМИ И ПОЛУЧАЕМ ДОСТУП К ПОНИМАНИЮ ИХ НАПРАВЛЕНИЙ ИНВЕСТИЦИЙ