Using Text-Mining and Crowdsourced Curation to Build a Structure Centric Community for Chemists

•Descargar como PPT, PDF•

4 recomendaciones•1,654 vistas

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

ChemSpider is a free access online structure-based community for chemists to research data and information. The database of over 20 million chemical structures and associated data has been derived from depositions by well over a hundred contributing data sources including chemical vendors, commercial database providers, web-based scraping of data and individual scientists looking to share their information with the community. Text-mining and conversion of chemical names and identifiers to chemical structures has made an enormous contribution to the availability of diverse data on ChemSpider and includes contributions from patents, open access articles and various online resources. This presentation will provide an overview of the present state of development of this important public resource and review the processes and procedures for the harvesting, deposition and curation of large datasets derived via text-mining and conversion.

Tecnología Empresariales

Using Text-Mining and Crowd-Sourcing to Build a Structure Centric Community for Chemists Antony Williams ACS Philadelphia 2008

Imagine a time when …. ,[object Object],[object Object],[object Object]

ChemSpider - A Search Engine for Chemists ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

ChemSpider Data Content ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Links out to KEGG Kyoto Encyclopedia of Genes and Genomes

Text- Indexing and ChemSpider? ,[object Object],[object Object]

Structure-Centric ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

“Entity Extraction” ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Name Recognition ,[object Object],[object Object]

How Many Chemical Names? ,[object Object]

Analysis of Daily Med ,[object Object],[object Object],[object Object],[object Object],[object Object]

What did we find? ,[object Object],[object Object],[object Object]

Making Open Access Articles Searchable Proof of Concept ,[object Object],[object Object],[object Object],[object Object]

Document markup ,[object Object],[object Object]

A Standard for Document Markup? ,[object Object],[object Object]

A Platform for Markup ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Conversion of Structure Images ,[object Object],[object Object],[object Object],[object Object]

Structure Conversion from Images-CLiDE ,[object Object]

Extensible Markup Process ,[object Object],[object Object],[object Object],[object Object]

What’s Coming…today.. ,[object Object],[object Object]

What’s Coming? ,[object Object],[object Object],[object Object],[object Object],[object Object]

Conclusions ,[object Object],[object Object],[object Object],[object Object]

Conclusions ,[object Object],[object Object],[object Object]

Acknowledgements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Further reading ,[object Object],[object Object],[object Object]

Más contenido relacionado

La actualidad más candente

Reaxys reactions june2014

Reaxys

2013 CrossRef Annual Meeting Flash Update ORCID, Ed Pentz.

Crossref

Prediction is much harder than analysis. Consider hurricanes and tornadoes; it's much easier to follow the path of destruction by locating devastated neighborhoods, than to forecast the paths of such weather systems in advance. Likewise for many chemical reactions, such as nitration (by refluxing with nitric acid and sulfuric acid) where the appearance of one or more nitro groups indicates a nitration reaction, but predicting where on a non-trivial organic molecule this functional group appears is a much harder challenge. In this sense, reaction analysis is much simpler than (either forward or retrosynthetic) synthesis planning. NextMove Software's namerxn is an expert system for classifying reactions (from reaction SMILES, MDL connection tables or ChemDraw sketches) typically assigning each reaction instance to a leaf classification in the Royal Society of Chemistry's RXNO ontology. These tools can be helpful in the analysis of regioselectivity preferences of reactions. This talk consists of two parts. A technical part describing the recent algorithmic and methodological improvements to the namerxn software, including describing some of the more challenging of the 1000+ reactions it currently identifies. And a scientific part that investigates the regioselective preferences of some of these reactions.

CINF 170: Regioselectivity: An application of expert systems and ontologies t...

NextMove Software

Reading and Writing Molecular File Formats for Data Exchange of Small Molecul...

NextMove Software

The knowledge, that is being produced and stored in the forms of reports, patents and scientific journal articles is expanding exponentially. Although, the unstructured nature of such contents impose constraints for seamless information access and scientific decision support. Chemistry is a unique field in this regard, for two reasons. First, the nomenclature is verbose in a sense that a chemical structure can be represented with various synonyms, for example traditional name, IUPAC name or a wide range of brand names or chemical formats (SMILES). Second, the navigation in the knowledge base, with queries related to the encapsulated chemical space, calls for peculiar search methods like similarity-based or substructure searches. Our study highlights computational approaches to turn chemistry related knowledge stored in all the open access articles easily accessible. We present our results obtained on this large corpus through the following workflow: i) large-scale conversion of text content to chemical objects, ii) automated preparation of databases to store and organize relevant data, and iii) analysis of the collected chemistry space. Extraction of chemical objects was done from nearly 1.9M articles that stretches the chemical space of open access scientific literature with ChemLocator application. Chemical space was analysed with calculation of fingerprint-based chemical similarity matrix and clustering by MadFast Similarity Search. In order to explore the scaffold diversity of this exclusive chemical space, the obtained set was fragmented to yield rings and ring systems. Hidden relationships were explored by combining text and chemical information in graph data model and related visualization. In summary, our use-case highlights the potential of novel technologies to pre-process, search and explore the information network enfolded in large document sets on the field of chemistry.

Chemical intelligence that makes hidden knowledge effortlessly reachable

ChemAxon

CrossRef Flash Update: ORCID

Crossref

Standardized Representations of ELN Reactions for Categorization and Duplicat...

NextMove Software

This presentation highlights known challenges with the production of high quality chemical databases and outline recent efforts made to address these challenges. Specific examples will be provided illustrating these challenges within the U.S. Environmental Protection Agency (EPA) Computational Toxicology Program. This includes consolidating EPA’s ACToR and DSSTox databases, augmenting computed properties and list search features, and introducing quality metrics to assess confidence in chemical structure assignments across hundreds of thousands of chemical substance records. The past decade has seen enormous investments in the generation and release of data from studies of chemicals and their toxicological effects. There is, however, commonly little concern given to provenance and, more generally, to the quality of the data. The presentation will emphasize the importance of rigorous data review procedures, progress in web-based public access to accurate chemical data sets for use in predictive modeling, and the benefits that these efforts will deliver to toxicologists to embrace the “Big Data” era. This abstract does not necessarily represent the views of the U.S. Environmental Protection Agency.

The needs for chemistry standards, database tools and data curation at the ch...

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

CrossRef Annual Meeting 2012 ORCID Laure Haak

Crossref

Before synthetic chemists replicate reactions or create compounds, they must determine whether the materials or precursors they need are already available - or if they must be synthesized. "Data sources on DiscoveryGate are indexed. This allows synthetic chemists to quickly determine whether a chosen synthesis is cost-justified or prohibitive. Access to primary literature and associated Material Safety Data Sheets (MSDS) provides information on determining factors such as yield and safety."

Synthesize or buy?

Craig Morgan NZCS, MBA (Hons), PMP

Extraction, Analysis, Atom Mapping, Classification and Naming of Reactions fr...

NextMove Software

An Integrated Approach To Drug Discovery Using Parallel Synthesis

Graham Smith

Chemical databases grow larger every year. Without investing in additional hardware or improved software, the time to search these databases will in turn grow longer annually. With an ever-increasing number of pharmaceutical patents, the amount of chemical data associated with these is growing at a rate with which hardware advances alone cannot keep up. Using automated mining of U.S. and European patents, we have extracted large collections of structural data in the form of reactions, mixtures, and exemplified compounds. Additional information such as protein targets and diseases are also extracted from each patent and associated with the structural data. We will describe how this data can be queried with natural language phrases and how these phrases are interpreted as structural queries. Through innovations in substructure and similarity search algorithms, it is possible to search and retrieve hundreds of millions of chemical records in fractions of a second. We will demonstrate how this is achieved on a regular desktop machine using just-in-time and ahead-of-time compilation techniques.

CINF 35: Structure searching for patent information: The need for speed

NextMove Software

Ebi public meeting on internet chemistry databases november 2010

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

Scopus2 orcid demo

ORCID, Inc

RSC ChemSpider – Building An Internet Based Community For Chemists

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

Npg orcid launch october 2012

ORCID, Inc

La actualidad más candente (17)

Reaxys reactions june2014

2013 CrossRef Annual Meeting Flash Update ORCID, Ed Pentz.

CINF 170: Regioselectivity: An application of expert systems and ontologies t...

Reading and Writing Molecular File Formats for Data Exchange of Small Molecul...

Chemical intelligence that makes hidden knowledge effortlessly reachable

CrossRef Flash Update: ORCID

Standardized Representations of ELN Reactions for Categorization and Duplicat...

The needs for chemistry standards, database tools and data curation at the ch...

CrossRef Annual Meeting 2012 ORCID Laure Haak

Synthesize or buy?

Extraction, Analysis, Atom Mapping, Classification and Naming of Reactions fr...

An Integrated Approach To Drug Discovery Using Parallel Synthesis

CINF 35: Structure searching for patent information: The need for speed

Ebi public meeting on internet chemistry databases november 2010

Scopus2 orcid demo

RSC ChemSpider – Building An Internet Based Community For Chemists

Npg orcid launch october 2012

Similar a Using Text-Mining and Crowdsourced Curation to Build a Structure Centric Community for Chemists

A Talk delivered at both UNC Chapel Hill and Drexel University There is an increasing availability of free and open access resources for scientists to use on the internet. Coupled with the increasing availability of Open Source software tools we are in the middle of a revolution in data availability and tools to manipulate these data. However, freedom costs and in many cases the cost is quality. ChemSpider is a free access website for chemists built with the intention of providing a structure centric community for chemists. As an aggregator of chemistry related information from many sources, at present over 21.5 million unique chemical entities from over 150 separate data sources, ChemSpider has taken on the task of both robotically and manually curating publicly available data sources. This presentation will provide an overview of the issue of quality in many chemistry-related databases, approaches to cleaning up the data and how a curated platform can become the centralized hub for resourcing information about chemical entities. This includes experimental and predicted properties, analytical data, publications, suppliers and integrated databases. I will detail three efforts :1) the curation of chemistry on Wikipedia 2) an examination of structure integrity on the FDA Daily Med website, a web site of medication content and labeling as found in medication package inserts 3) recognizing chemical names in documents and providing a platform for structure-based searching of Open Access chemistry literature.

Crowdsourcing, Collaborations And Text Mining In A World Of Open Chemistry

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

This was a presentation I gave to an audience at Nature Publishing Group in New York on May 7th 2009. It's a long presentation and over an hour in length. Not much new here relative to other presentations...just a knitting together of many of the others on here. There is an increasing availability of free and open access resources for scientists to use on the internet. Coupled with an increasing number of Open Source software programs we are in the middle of a revolution in data availability and tools to manipulate these data. ChemSpider is a free access website built with the intention of providing a structure centric community for chemists. As an aggregator of chemistry related information from many sources, at present over 21.5 million unique chemical entities from over 190 separate data sources, ChemSpider has taken on the task of both robotically and manually integrating and curating publicly available data sources. ChemSpider has also provided an environment for users to deposit, curate and annotate chemistry-related information. This has allowed the community to enhance ChemSpider by adding analytical data, associating synthetic pathways and publications and connecting to social networking resources. I will discuss how ChemSpider is fast becoming the premier curated platform and centralized hub for resourcing information about chemical entities and how the platform provides the foundation data for services allowing the analysis of analytical data and collaborative science.

ChemSpider as a Foundation for Crowdsourcing and Collaborations in Open Chemi...

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

AZ of Chemspider February 2011

Royal Society of Chemistry

ChemSpider – The Vision and Challenges Associated with Building a Free Online...

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

This is a presentation I gave at the FDA on December 1st 2009 in Wahington DC as part of a symposium involving PubChem, ChemIDPLus, PillBox, DailyMed and other related systems. The focus was, as usual, on the quality of data online and how to clean up the information and with a specific focus on the quality of data on the FDA's DailyMed and our efforts to apply semantic markup to the DailyMed articles

ChemSpider and How The Wisdom Of The Crowds Can Improve The Quality Of ...

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

Checking, Curating And Qualifying Chemistry

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

Citizen Scientists and Their Contributions to Internet Based Chemistry

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

There is an increasing availability of free and open access resources for chemists to use on the internet. Coupled with the increasing availability of Open Source software tools we are in the middle of a revolution in data availability and tools to manipulate these data. ChemSpider is a free access website for chemists built with the intention of providing a structure centric community for chemists. It was developed with the intention of aggregating and indexing available sources of chemical structures and their associated information into a single searchable repository and making it available to everybody, at no charge. There are tens if not hundreds of chemical structure databases such as literature data, chemical vendor catalogs, molecular properties, environmental data, toxicity data, analytical data etc. and no single way to search across them. Despite the fact that there were a large number of databases containing chemical compounds and data available online their inherent quality, accuracy and completeness was lacking in many regards. The intention with ChemSpider was to provide a platform whereby the chemistry community could contribute to cleaning up the data, improving the quality of data online and expanding the information available to include data such as reaction syntheses, analytical data, experimental properties and linking to other valuable resources. It has grown into a resource containing over 21 million unique chemical structures from over 200 data sources. ChemSpider has enabled real time curation of the data, association of analytical data with chemical structures, real-time deposition of single or batch chemical structures (including with activity data) and transaction-based predictions of physicochemical data. The social community aspects of the system demonstrate the potential of this approach. Curation of the data continues daily and thousands of edits and depositions by members of the community have dramatically improved the quality of the data relative to other public resources for chemistry. This presentation will provide an overview of the history of ChemSpider, the present capabilities of the platform and how it can become one of the primary foundations of the semantic web for chemistry. It will also discuss some of the present projects underway since the acquisition of ChemSpider by the Royal Society of Chemistry.

ChemSpider - Building a Foundation for the Semantic Web by Hosting a Crowd So...

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

There is an increasing availability of free and open access resources for scientists to use on the internet. Coupled with the increasing availability of Open Source software tools we are in the middle of a revolution in data availability and tools to manipulate these data. ChemSpider is a free access website for chemists built with the intention of providing a structure centric community for chemists. As an aggregator of chemistry related information from many sources, at present over 21.5 million unique chemical entities from over 200 separate data sources, ChemSpider has taken on the task of both robotically and manually curating publicly available data sources. This presentation will provide an overview of the ChemSpider platform and how it is fast becoming the centralized hub for resourcing information about chemical entities.

Navigating the Complex Web of Chemistry Using ChemSpider

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

Chem spider introduction spring 2011

Royal Society of Chemistry

Whitney Symposium Lecture June 2008

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

How an Online Resource for Chemistry Can Change Our World

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

The internet has revolutionized the sharing of data and information and in the domain of chemistry there are many resources available to help with our research. In recent years various online resources have been introduced that allow users to access information, properties and data associated with chemical entities. At a time when CAS has declared that they now have over 50 million unique chemical entities in the registry the number of chemical structures distributed across the internet also measures in the tens of millions. There are many tens of databases on the internet hosting chemical structures associated with data focused on the specific nature of the collection – metabolic pathways, spectral data collections, chemical vendor collections, biological assay data and crystal structures are examples. Unfortunately there has been no single way to search across all of these resources. ChemSpider has taken on the task of integrating the multiple online resources of information into a single database using the chemical structure as the primary key and retaining the link out and attribution to the original datasource. In this manner ChemSpider intends to become a structure-centric hub for the chemistry community. This talk will provide an overview of the ChemSpider platform, how it is being used as a crowdsourcing platform for community-based curation of the data and the future vision of ChemSpider as one of the pillars of the semantic web of chemistry.

Navigating the Complex Web of Chemistry Using ChemSpider

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

ChemSpider was developed with the intention of aggregating and indexing available sources of chemical structures and their associated information into a single searchable repository and making it available to everybody, at no charge. There are many tens of chemical structure databases such as literature data, chemical vendor catalogs, molecular properties, environmental data, toxicity data, analytical data etc. and no single way to search across them. Despite the diversity of databases available online their inherent quality, accuracy and completeness is lacking in many regards. ChemSpider was established to provide a platform whereby the chemistry community could contribute to cleaning up the data, improving the quality of data online and expanding the information available to include data such as reaction syntheses, analytical data and experimental properties. ChemSpider has now grown into a database of well over 20 million chemical substances integrated with over 300 disparate data sources, many of these directly supporting the Life Sciences. This presentation will provide an overview of our efforts to improve the quality of data online, to provide a foundation for the semantic web for chemistry and to provide access to a set online tools and services to support access to these data. I will also discuss how ChemSpider is being used to enhance Semantic Publishing in Chemistry at RSC.

ChemSpider – A Platform to Gather, Host and Integrate Structure Based Data Ac...

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

The increasing availability of free and open access resources for scientists on the internet presents us with a revolution in data availability. The Royal Society of Chemistry hosts ChemSpider, a free access website for chemists built with the intention of building community for chemists (http://www.chemspider.com/). ChemSpider is an aggregator of chemistry related information, at present over 20 million unique chemical entities linked out to over 300 separate data sources, ChemSpider has taken on the task of both robotically and manually curating publicly available data sources. It is also a public deposition platform where chemists can deposit their own data including novel structures, analytical data, synthesis procedures and host data associated with the growing activities associated with Open Notebook Science. This presentation will examine chemistry on the internet, the dubious quality of what is available and how the ChemSpider crowdsourced curation platform is fast becoming one of the centralized hubs for resourcing information about chemical entities. We will also review our efforts to provide free resources for synthesis procedures, spectral data and structure-based searching of the chemistry literature and how chemists can contribute directly to each of these projects.

RSC ChemSpider -- Managing and Integrating Chemistry on the Internet to Build...

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

The extraction of chemical entities from documents such as patents and publications has been pursued for a number of years. We wish to report on ChemMantis, an integrated system for chemistry-based entity extraction and document mark-up enabling access to the rich resource of online chemistry know as ChemSpider. We will discuss the development of the platform from its inception as a series of dictionaries to the integration of an entity extraction algorithm and its expansion to a public deposition and publishing platform for chemistry. Chemistry articles can now be deposited, marked-up and exposed to the public within a few minutes in many cases making it an ideal platform for communicating research and providing integrated access to data sources including PubChem, ChEBI, Wikipedia and Entrez.

Building an integrated system for chemistry markup and online publishing inte...

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

Connecting Chemists to the Internet Through ChemSpider

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

The Royal Society of Chemistry (RSC) is a major participant in providing access to chemistry related data via the web. As an internationally renowned society for the chemical sciences, a scientific publisher and the host of the ChemSpider database for the community, RSC continues to make dramatic strides in providing online access to data. ChemSpider provides access to over 30 million chemicals sourced from over 500 data suppliers and linked out to related information on the web. The platform is a crowdsourcing environment whereby members of the community can participate in validating and expanding the content of the database. With a set of application programming interfaces ChemSpider is used by various organizations and projects to serve up data for various purposes. These include structure identification for mass spectrometry instrument vendors, RSC databases such as the Marinlit natural products database and a European grant-based project from the Innovative Medicines Initiative fund. This presentation will provide an overview of various cheminformatics activities and projects that RSC is involved with to serve the medicinal chemistry community. This will include the Open PHACTS semantic web project, the PharmaSea project to identify new pharmaceutical leads from the ocean and the UK National Compound Collection to identify new lead compounds contained within PhD theses.

Serving the medicinal chemistry community with Royal Society of Chemistry che...

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

ChemSpider was developed with the intention of aggregating and indexing available sources of chemical structures and their associated information into a single searchable repository and making it available to everybody, at no charge. There are many tens of chemical structure databases such as literature data, chemical vendor catalogs, molecular properties, environmental data, toxicity data, analytical data etc. and no single way to search across them. Despite the diversity of databases available online their inherent quality, accuracy and completeness is lacking in many regards. ChemSpider was established to provide a platform whereby the chemistry community could contribute to cleaning up the data, improving the quality of data online and expanding the information available to include data such as reaction syntheses, analytical data and experimental properties. ChemSpider has now grown into a database of over 20 million chemical substances integrated with over 300 disparate data sources, many of these directly supporting the Life Sciences. This presentation will provide an overview of our efforts to improve the quality of data online, to provide a foundation for the semantic web for chemistry and to provide access to a set online tools and services to support access to these data. I will also discuss how ChemSpider is being used to enhance Semantic Publishing in Chemistry at RSC.

ChemSpider – A Community Platform for Chemistry and Resources Supporting the ...

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

RSC|ChemSpider is one of the world’s largest online resources for chemistry related data and services. Developed with the intention of delivering access to structure-based chemistry data via the internet the ChemSpider platform hosts over 26 million unique chemical compounds aggregated from over 400 data sources and provides an environment for the community to both annotate and curate these existing data as well as deposit new data to the system. The search system delivers flexible querying capabilities together with links to external sites for publication and patent data. ChemSpider has spawned a number of projects include ChemSpider SyntheticPages for hosting openly peer-reviewed chemical synthesis articles. This presentation will review the present capabilities of the ChemSpider system providing direct examples of how to use the system to source high quality data of value to pharmaceutical companies. We will discuss some of the challenges associated with validating data quality, examine how ChemSpider is a part of the semantic web for chemistry and investigate approaches to using ChemSpider integrated to analytical instrumentation.

Improving online chemistry one structure at a time

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure

Similar a Using Text-Mining and Crowdsourced Curation to Build a Structure Centric Community for Chemists (20)

Crowdsourcing, Collaborations And Text Mining In A World Of Open Chemistry

ChemSpider as a Foundation for Crowdsourcing and Collaborations in Open Chemi...

AZ of Chemspider February 2011

ChemSpider – The Vision and Challenges Associated with Building a Free Online...

ChemSpider and How The Wisdom Of The Crowds Can Improve The Quality Of ...

Checking, Curating And Qualifying Chemistry

Citizen Scientists and Their Contributions to Internet Based Chemistry

ChemSpider - Building a Foundation for the Semantic Web by Hosting a Crowd So...

Navigating the Complex Web of Chemistry Using ChemSpider

Chem spider introduction spring 2011

Whitney Symposium Lecture June 2008

How an Online Resource for Chemistry Can Change Our World

Navigating the Complex Web of Chemistry Using ChemSpider

ChemSpider – A Platform to Gather, Host and Integrate Structure Based Data Ac...

RSC ChemSpider -- Managing and Integrating Chemistry on the Internet to Build...

Building an integrated system for chemistry markup and online publishing inte...

Connecting Chemists to the Internet Through ChemSpider

Serving the medicinal chemistry community with Royal Society of Chemistry che...

ChemSpider – A Community Platform for Chemistry and Resources Supporting the ...

Improving online chemistry one structure at a time

Último

MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Miguel Araújo

Tata AIG General Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

[2024]Digital Global Overview Report 2024 Meltwater.pdf

hans926745

Histor y of HAM Radio presentation slide

vu2urc

Scaling API-first – The story of a global engineering organization

Radu Cotescu

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Neo4j

Choosing the right accounts payable services provider is a strategic decision that can significantly impact your business's financial performance and operational efficiency. By considering factors such as expertise, range of services, technology infrastructure, scalability, cost, and reputation, businesses can make informed decisions and select a provider that aligns with their unique needs and objectives. Partnering with the right provider can streamline accounts payable processes, drive cost savings, and position your business for long-term success. https://katprotech.com/accounts-payable-and-purchase-order-automation/

Factors to Consider When Choosing Accounts Payable Services Providers.pptx

Katpro Technologies

Advantages of Hiring UIUX Design Service Providers for Your Business

Pixlogix Infotech

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

debabhi2

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Friends Colony Women Seeking Men

Delhi Call girls

What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?

What Are The Drone Anti-jamming Systems Technology?

Antenna Manufacturer Coco

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Joaquim Jorge

In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Drew Madelung

Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

UK Journal

Automating Google Workspace (GWS) & more with Apps Script

wesley chun

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

How to convert PDF to text with Nanonets

naman860154

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

The Raspberry Pi 5 was announced on October 2023. This new version of the popular embedded device comes with a new iteration of Broadcom’s VideoCore GPU platform, and was released with a fully open source driver stack, developed by Igalia. The presentation will discuss some of the major changes required to support this new Video Core iteration, the challenges we faced in the process and the solutions we provided in order to deliver conformant OpenGL ES and Vulkan drivers. The talk will also cover the next steps for the open source Raspberry Pi 5 graphics stack. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://eoss24.sched.com/event/1aBEx

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...

Igalia