Web2
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Semantic Web, AJAX, ASP.NET 2.0, Microsoft Office, CMS, RSS, Sharepoint, TFS, XNA, Social Enterprise Architecture, Enterprise Content Management, EPG, Collaboration and Portals, Conversations, Enterprise Search, Integration, Flex, ColdFusion, BPM, MOSS 2007, Web 2.0, Silverlight, ROR, PLSQL, LAMP, Mac, Shanghai
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Click stream analysis and hadoop framwork
1. Click stream analysis is used to analyze the electronic paths and page visits of users on websites to understand user behavior and interests. This data comes from e-commerce sites, video sites like YouTube, and other sources.
2. Companies use click stream analysis data for purposes like converting customers, selling products, targeting advertisements, and increasing business growth. Amazon analyzes user behavior data like clicked items and searched videos to target specific ad types to visitors.
3. Hadoop is an open-source framework that handles extremely large and diverse data sets known as "big data." It allows for analysis of click stream and server log data to reveal patterns.
Market & Technology Trends in Materials and Equipement for Printed and Flexib...
Combined flexible & printed electronic applications could reach US$1B in 2020. Multiple applications are driving growth!
TECHNICAL CHALLENGES ARE CLOSE TO BEING OVERCOME TO REACH US$1B MARKET BY 2020
Today flexible & printed electronics create a lot of hope. And a supply chain is being created to support an industrial infrastructure. In our report, we have identified and tracked the five main functionalities of flexible & printed electronics: displaying, sensing, lighting, energy generating and substrates. The different degrees of freedom in flexibility that can be obtained can be divided into:
- Conformable substrate: the flexible substrate will be shaped in a definitive way after processing
- “Bendable” substrate: they can be rolled and bent many times (even if we consider it will not be a key feature coming from customer needs)
- “Unused” flexibility: in the end, the flexibility is not an added value to the customer
We believe some applications will be more likely than other to be successful – for example, bendable applications will undergo tough stress during use and technological challenges will be hard to overcome. Our report shows the distinction between the functions (displaying, lighting, energy conversion, sensing & substrates) and the seek flexibility “degree of freedom”. We do not make the distinction in our report between organic and inorganic substrates as semiconductors can also be used as flexible substrates.
However, we believe over the next several years, the number of applications using printing processes for flexible electronics will grow (Figure on page 2).
We estimate the printed & flexible electronics market will grow from ~ $176M in 2013 to ~$950M in 2020 with a 27% CAGR in market value. Printed OLED displays for large size (TVs) are likely to become the largest market. For OLED lighting, we believe it will grow but remain a niche market for automotive and/ or office lighting. For PV, the market demand by 2020 will remain very low compared to the demand for rigid PV, largely below 1% of the global market demand by 2020. Sensor, smart system & polytronic applications will include sensors, touchless / touch screens, RF ID applications.
A WIDE, EXCITING RANGE OF NEW APPLICATIONS
Printed & flexible electronics is a new exiting technology with large potential market expectations. Indeed, as semiconductors move to the very small with 22nm critical dimension, printed electronics moves to the other end of the spectrum with its own material, equipment, process challenges and supply chain. Printed electronics will not kill semiconductor electronics as it will not be a replacement for CMOS silicon.
More info at http://www.i-micronews.com/reports/Flexible-Based-Printed-Electronics-Technologies/6/367/
Market & Technology Trends in Materials & Equipment for Printed & Flexible El...
Market & Technology Trends in Materials & Equipment for Printed & Flexible Electronics Dr Eric Mounier, Yole Developpement
,yole ,report ,market ,technology ,application ,research ,trend ,player ,analysis ,free ,data ,flexible ,electronics ,printed electronic ,printed ,iot ,internet of things
Study: The Future of VR, AR and Self-Driving Cars
We asked LinkedIn members worldwide about their levels of interest in the latest wave of technology: whether they’re using wearables, and whether they intend to buy self-driving cars and VR headsets as they become available. We asked them too about their attitudes to technology and to the growing role of Artificial Intelligence (AI) in the devices that they use. The answers were fascinating – and in many cases, surprising.
This SlideShare explores the full results of this study, including detailed market-by-market breakdowns of intention levels for each technology – and how attitudes change with age, location and seniority level. If you’re marketing a tech brand – or planning to use VR and wearables to reach a professional audience – then these are insights you won’t want to miss.
Going Beyond Search
Search engines need to evolve to become more intelligent in order to effectively handle the immense and growing amount of online information. By understanding both web page content and user search queries at a deeper semantic level, search engines could provide more relevant results and ads while using computational resources more efficiently. A company called Linguistic Agents has developed advanced natural language processing technologies that enable deeper understanding and could power the next generation of more intelligent search engines and applications.
Recommended
Click stream analysis and hadoop framwork
1. Click stream analysis is used to analyze the electronic paths and page visits of users on websites to understand user behavior and interests. This data comes from e-commerce sites, video sites like YouTube, and other sources.
2. Companies use click stream analysis data for purposes like converting customers, selling products, targeting advertisements, and increasing business growth. Amazon analyzes user behavior data like clicked items and searched videos to target specific ad types to visitors.
3. Hadoop is an open-source framework that handles extremely large and diverse data sets known as "big data." It allows for analysis of click stream and server log data to reveal patterns.
Market & Technology Trends in Materials and Equipement for Printed and Flexib...
Combined flexible & printed electronic applications could reach US$1B in 2020. Multiple applications are driving growth!
TECHNICAL CHALLENGES ARE CLOSE TO BEING OVERCOME TO REACH US$1B MARKET BY 2020
Today flexible & printed electronics create a lot of hope. And a supply chain is being created to support an industrial infrastructure. In our report, we have identified and tracked the five main functionalities of flexible & printed electronics: displaying, sensing, lighting, energy generating and substrates. The different degrees of freedom in flexibility that can be obtained can be divided into:
- Conformable substrate: the flexible substrate will be shaped in a definitive way after processing
- “Bendable” substrate: they can be rolled and bent many times (even if we consider it will not be a key feature coming from customer needs)
- “Unused” flexibility: in the end, the flexibility is not an added value to the customer
We believe some applications will be more likely than other to be successful – for example, bendable applications will undergo tough stress during use and technological challenges will be hard to overcome. Our report shows the distinction between the functions (displaying, lighting, energy conversion, sensing & substrates) and the seek flexibility “degree of freedom”. We do not make the distinction in our report between organic and inorganic substrates as semiconductors can also be used as flexible substrates.
However, we believe over the next several years, the number of applications using printing processes for flexible electronics will grow (Figure on page 2).
We estimate the printed & flexible electronics market will grow from ~ $176M in 2013 to ~$950M in 2020 with a 27% CAGR in market value. Printed OLED displays for large size (TVs) are likely to become the largest market. For OLED lighting, we believe it will grow but remain a niche market for automotive and/ or office lighting. For PV, the market demand by 2020 will remain very low compared to the demand for rigid PV, largely below 1% of the global market demand by 2020. Sensor, smart system & polytronic applications will include sensors, touchless / touch screens, RF ID applications.
A WIDE, EXCITING RANGE OF NEW APPLICATIONS
Printed & flexible electronics is a new exiting technology with large potential market expectations. Indeed, as semiconductors move to the very small with 22nm critical dimension, printed electronics moves to the other end of the spectrum with its own material, equipment, process challenges and supply chain. Printed electronics will not kill semiconductor electronics as it will not be a replacement for CMOS silicon.
More info at http://www.i-micronews.com/reports/Flexible-Based-Printed-Electronics-Technologies/6/367/
Market & Technology Trends in Materials & Equipment for Printed & Flexible El...
Market & Technology Trends in Materials & Equipment for Printed & Flexible Electronics Dr Eric Mounier, Yole Developpement
,yole ,report ,market ,technology ,application ,research ,trend ,player ,analysis ,free ,data ,flexible ,electronics ,printed electronic ,printed ,iot ,internet of things
Study: The Future of VR, AR and Self-Driving Cars
We asked LinkedIn members worldwide about their levels of interest in the latest wave of technology: whether they’re using wearables, and whether they intend to buy self-driving cars and VR headsets as they become available. We asked them too about their attitudes to technology and to the growing role of Artificial Intelligence (AI) in the devices that they use. The answers were fascinating – and in many cases, surprising.
This SlideShare explores the full results of this study, including detailed market-by-market breakdowns of intention levels for each technology – and how attitudes change with age, location and seniority level. If you’re marketing a tech brand – or planning to use VR and wearables to reach a professional audience – then these are insights you won’t want to miss.
Going Beyond Search
Search engines need to evolve to become more intelligent in order to effectively handle the immense and growing amount of online information. By understanding both web page content and user search queries at a deeper semantic level, search engines could provide more relevant results and ads while using computational resources more efficiently. A company called Linguistic Agents has developed advanced natural language processing technologies that enable deeper understanding and could power the next generation of more intelligent search engines and applications.
What are the different types of web scraping approaches
The importance of Web scraping is increasing day by day as the world is depending more and more on data and it will increase more in the coming future. And web applications like Newsdata.io news API that is working on Web scraping fundamentals. More and more web data applications are being created to satisfy the data-hungry infrastructures. And do check out the top 21 list of web scraping tools in 2022
Introduction to internet.
A search engine is a software system that searches the World Wide Web for information and presents search results on search engine results pages (SERPs). Search engines work by using web crawlers to index web pages, then searching their indexes to provide relevant results for user queries. They offer operators like Boolean logic to refine searches. The usefulness of search engines depends on how relevant their results are, and they employ various ranking algorithms to provide the most relevant pages first. Metasearch engines simultaneously query multiple other search engines and aggregate their results.
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The document discusses search engines and web crawlers. It provides information on how search engines work by using web crawlers to index web pages and then return relevant results when users search. It also compares major search engines like Google, Yahoo, MSN, Ask Jeeves, and Live Search based on factors like market share, database size and freshness, ranking algorithms, and treatment of spam. Google is highlighted as having the largest market share and best algorithms for determining natural vs artificial links.
Future of the internet
The document discusses predictions about the future development of the World Wide Web (Web 3.0). Many experts believe that the Web will become more personalized and act like a personal assistant that learns a user's interests from search and browsing history. The browser will be able to answer complicated questions and provide tailored recommendations. It will continue to learn more about individual users over time in order to provide more specific and relevant information and suggestions.
Web3.0Document.docx
Web 3.0, the upcoming third generation of the internet, will allow websites and apps to process information in intelligently, human-like manner with technologies.
Search Engine
The document discusses search engines and how they work. It introduces key team members and defines search engines as computer programs that search documents and networks for particular keywords and return a list of results. It describes the basic tasks of search engines as searching the internet for keywords, keeping an index of words and locations, and allowing users to search the index. The summary provides an overview of the main topics covered in the document related to how search engines function.
Tai web 3
Web 3.0 is envisioned as the next generation of the World Wide Web that will be smarter and allow machines to process data and information with greater capabilities than previous versions. Key aspects of Web 3.0 may include the Semantic Web, which allows machines to understand the meaning of information on the web; the Media-Centric Web, which allows searching for multimedia like images and video by content instead of just keywords; and the 3D Web, which incorporates 3D modeling of objects and environments that can be interacted with. The overall goal of Web 3.0 is for the web to become more automated and intelligent with machines able to interpret and process information in increasingly human-like ways.
Semantic Web
p.p.t on semantic web , in this ppt the working of semantic web over today's current web is described with its advantages
Deep Web: Databases on the Web
Chapter in Handbook of Research on Innovations in Database Technologies and Applications Current and Future Trends
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Team 3 Web 2.0 Web 3.0 V2 Linkdin
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Search Engines Other than Google
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Web3 0 latest webtrends
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Evolution of the Webmaster Role
The document discusses the evolution of the webmaster role from a technical focus to a business focus. It describes how the webmaster was traditionally seen as responsible for the technical maintenance of a website but now must also focus on design, content management, marketing, and business objectives. The webmaster role has expanded from technology-oriented tasks like website structure and code to include content creation and updating, user experience, web analytics, marketing campaigns, and generating business value.
Search engine
Search engines work by using web crawlers to retrieve web pages, analyze their contents, index important information, and provide search results in response to user queries. The first search engine was Archie, created in 1990, while Google rose to prominence around 2000 using its innovative PageRank algorithm. Today's major search engines like Google, Yahoo, and Bing use complex algorithms and techniques like web crawlers, boolean operators, proximity searching and natural language queries to efficiently index the web and return relevant results. They generate revenue through advertising shown alongside search results.
Web 3.0 What is it?
Web 3.0 refers to a proposed next stage in the development of the World Wide Web focused on semantics, artificial intelligence, and a greater degree of user control over personal data and identity. Some key aspects of Web 3.0 include more personalized experiences through user profiling, intelligent applications that can interpret web pages, and an emphasis on open technologies and portable digital identity. While there is no consensus on a definition, many see Web 3.0 being powered by semantic web technologies to add meaning and enable systems that can reason like humans.
Google - Past, Present and Future
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zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
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What are the different types of web scraping approaches
The importance of Web scraping is increasing day by day as the world is depending more and more on data and it will increase more in the coming future. And web applications like Newsdata.io news API that is working on Web scraping fundamentals. More and more web data applications are being created to satisfy the data-hungry infrastructures. And do check out the top 21 list of web scraping tools in 2022
Introduction to internet.
A search engine is a software system that searches the World Wide Web for information and presents search results on search engine results pages (SERPs). Search engines work by using web crawlers to index web pages, then searching their indexes to provide relevant results for user queries. They offer operators like Boolean logic to refine searches. The usefulness of search engines depends on how relevant their results are, and they employ various ranking algorithms to provide the most relevant pages first. Metasearch engines simultaneously query multiple other search engines and aggregate their results.
Project report (web 3.0)
This document provides an overview and summary of Web 3.0 (Semantic Web). It discusses the need for Web 3.0 to make the internet more intelligent by enabling machines to understand the meaning of web content. The purpose and components of the Semantic Web are described, along with the challenges and examples of its implementation. Key technologies that enable the Semantic Web by generating a unified data format from various internet sources are also mentioned.
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The document provides details about an non-credit course on search engine optimization (SEO) taken by a student. It includes the course contents which cover the basics of SEO, on-page optimization techniques like meta tags and keywords, off-page optimization like link building, analytics tools, SEO reporting and applications of SEO. The document also discusses the pros and cons of SEO and provides a conclusion.
Search engine and web crawler
The document discusses search engines and web crawlers. It provides information on how search engines work by using web crawlers to index web pages and then return relevant results when users search. It also compares major search engines like Google, Yahoo, MSN, Ask Jeeves, and Live Search based on factors like market share, database size and freshness, ranking algorithms, and treatment of spam. Google is highlighted as having the largest market share and best algorithms for determining natural vs artificial links.
Future of the internet
The document discusses predictions about the future development of the World Wide Web (Web 3.0). Many experts believe that the Web will become more personalized and act like a personal assistant that learns a user's interests from search and browsing history. The browser will be able to answer complicated questions and provide tailored recommendations. It will continue to learn more about individual users over time in order to provide more specific and relevant information and suggestions.
Web3.0Document.docx
Web 3.0, the upcoming third generation of the internet, will allow websites and apps to process information in intelligently, human-like manner with technologies.
Search Engine
The document discusses search engines and how they work. It introduces key team members and defines search engines as computer programs that search documents and networks for particular keywords and return a list of results. It describes the basic tasks of search engines as searching the internet for keywords, keeping an index of words and locations, and allowing users to search the index. The summary provides an overview of the main topics covered in the document related to how search engines function.
Tai web 3
Web 3.0 is envisioned as the next generation of the World Wide Web that will be smarter and allow machines to process data and information with greater capabilities than previous versions. Key aspects of Web 3.0 may include the Semantic Web, which allows machines to understand the meaning of information on the web; the Media-Centric Web, which allows searching for multimedia like images and video by content instead of just keywords; and the 3D Web, which incorporates 3D modeling of objects and environments that can be interacted with. The overall goal of Web 3.0 is for the web to become more automated and intelligent with machines able to interpret and process information in increasingly human-like ways.
Semantic Web
p.p.t on semantic web , in this ppt the working of semantic web over today's current web is described with its advantages
Deep Web: Databases on the Web
Chapter in Handbook of Research on Innovations in Database Technologies and Applications Current and Future Trends
What is Web 3.0?
Web 3.0 aims to semantically connect information on the web through metadata tags and semantic search engines. This would allow software agents to perform tasks by understanding the meaning of web content rather than just keywords. Early examples included Twine, which organized web content by topic, and semantic search engines like Evri. More recent predictions are that Web 3.0 will focus on utilizing data through applications and that it will enable better, smarter learning through connections between information.
Team 3 Web 2.0 Web 3.0 V2 Linkdin
The document discusses the evolution of the World Wide Web from static Web 1.0 to more dynamic and user-interactive Web 2.0 and the emerging Semantic Web or Web 3.0, including characteristics like social networking, user-generated content, personalization, and how these changes impact business models and opportunities. It also covers security and privacy challenges that remain for the new technologies powering the semantic web.
Search Engines Other than Google
Google has reshaped human life in a drastic way. Search Engines play a very vital role in human life.
Web3 0 latest webtrends
Web 3.0 promises to organize the world's information in a more logical way than current search engines by focusing on semantic web technologies, intelligent systems, 3D interfaces, social aspects, and mobility. Key features include semantic understanding to allow machines to comprehend web pages like humans, personalized intelligent search powered by metadata and context, open standards and data, treating the web as a single database, interactive 3D experiences, unified social profiles, moving freely between databases and apps, and ubiquitous customized mobile access.
Evolution of the Webmaster Role
The document discusses the evolution of the webmaster role from a technical focus to a business focus. It describes how the webmaster was traditionally seen as responsible for the technical maintenance of a website but now must also focus on design, content management, marketing, and business objectives. The webmaster role has expanded from technology-oriented tasks like website structure and code to include content creation and updating, user experience, web analytics, marketing campaigns, and generating business value.
Search engine
Search engines work by using web crawlers to retrieve web pages, analyze their contents, index important information, and provide search results in response to user queries. The first search engine was Archie, created in 1990, while Google rose to prominence around 2000 using its innovative PageRank algorithm. Today's major search engines like Google, Yahoo, and Bing use complex algorithms and techniques like web crawlers, boolean operators, proximity searching and natural language queries to efficiently index the web and return relevant results. They generate revenue through advertising shown alongside search results.
Web 3.0 What is it?
Web 3.0 refers to a proposed next stage in the development of the World Wide Web focused on semantics, artificial intelligence, and a greater degree of user control over personal data and identity. Some key aspects of Web 3.0 include more personalized experiences through user profiling, intelligent applications that can interpret web pages, and an emphasis on open technologies and portable digital identity. While there is no consensus on a definition, many see Web 3.0 being powered by semantic web technologies to add meaning and enable systems that can reason like humans.
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
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