ASP.NET vNext at the DotNed users group

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Maurice De Beijer [MVP]

Presentation about the future of ASP.NET at the Dutch DotNed users group.

ASP.NET vNext (CTP3)
Maurice de Beijer

WebForms

ASP.NET MVC

Faster Development Cycle

Choose your Editors and Tools

Totally Modular
Bower

Fast K Runtime

Inversion of Control

Configuration

On-premises and cloud

Cross-Platform

More information
 http://www.asp.net/vnext
 The Future of .NET on the Server: TechEd 2014
 An Introduction to ASP.NET vNext - Daniel Roth
 ASP.NET vNext Community Standup
 http://davidfowl.com/

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TECUNIQUE: Success Stories: IT Service provider

TECUNIQUE: Success Stories: IT Service provider

TECUNIQUE: Success Stories: IT Service provider

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Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf

Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf

Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf

kalichargn70th171

Foundation models are machine learning models which are easily capable of performing variable tasks on large and huge datasets. FMs have managed to get a lot of attention due to this feature of handling large datasets. It can do text generation, video editing to protein folding and robotics. In case we believe that FMs can help the hospitals and patients in any way, we need to perform some important evaluations, tests to test these assumptions. In this review, we take a walk through Fms and their evaluation regimes assumed clinical value. To clarify on this topic, we reviewed no less than 80 clinical FMs built from the EMR data. We added all the models trained on structured and unstructured data. We are referring to this combination of structured and unstructured EMR data or clinical data.

Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...

Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...

Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...

harshavardhanraghave

Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

In an era where security concerns are paramount, the integration of artificial intelligence (AI) into CCTV cameras has revolutionized surveillance capabilities. One of the most significant advancements is the ability to achieve real-time threat detection, enabling immediate responses to potential security breaches. This blog explores how AI is reshaping surveillance through real-time threat detection and the implications of this technology.

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Optimizing AI for immediate response in Smart CCTV

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The Ultimate Test Automation Guide_ Best Practices and Tips.pdf

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Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...

Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...

Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...

Microsoft AI Transformation Partner Playbook.pdf

Microsoft AI Transformation Partner Playbook.pdf

Microsoft AI Transformation Partner Playbook.pdf

HR Software Buyers Guide in 2024 - HRSoftware.com

HR Software Buyers Guide in 2024 - HRSoftware.com

HR Software Buyers Guide in 2024 - HRSoftware.com

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SyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AI

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TECUNIQUE: Success Stories: IT Service provider

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5 Signs You Need a Fashion PLM Software.pdf

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A Secure and Reliable Document Management System is Essential.docx

Right Money Management App For Your Financial Goals

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Right Money Management App For Your Financial Goals

Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf

Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf

Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf

Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...

Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...

Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Optimizing AI for immediate response in Smart CCTV

Optimizing AI for immediate response in Smart CCTV

Optimizing AI for immediate response in Smart CCTV

Try MyIntelliAccount Cloud Accounting Software As A Service Solution Risk Fre...

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Try MyIntelliAccount Cloud Accounting Software As A Service Solution Risk Fre...

The Ultimate Test Automation Guide_ Best Practices and Tips.pdf

The Ultimate Test Automation Guide_ Best Practices and Tips.pdf

The Ultimate Test Automation Guide_ Best Practices and Tips.pdf

ASP.NET vNext at the DotNed users group

1. ASP.NET vNext (CTP3) Maurice de Beijer

2.

4.

6.

7.

8.

9.

10. Faster Development Cycle

11. Choose your Editors and Tools

12. Totally Modular Bower

13. Fast K Runtime

14. Inversion of Control

15. Configuration

16. On-premises and cloud

17.

18. Cross-Platform

19.

20. More information  http://www.asp.net/vnext  The Future of .NET on the Server: TechEd 2014  An Introduction to ASP.NET vNext - Daniel Roth  ASP.NET vNext Community Standup  http://davidfowl.com/

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