Fabric Engine presentation @ International Startup Festival 2011

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Fabric Engine is a development platform for building high performance web applications. Fabric applications are as fast and powerful as native applications - there is no compromise because Fabric code is native code. In fact, it's multi-threaded native code. Fabric handles the multi-threading for you - if you are a good JavaScript developer, then you'll be able to write multi-threaded applications using Fabric. If you're already writing high-performance native applications, then we're giving you a way to put them inside the browser without losing performance. All modern devices are capable of high-performance computing: many cores on chip architectures that combine CPU and GPU power together. These architectures are not just on our desktops and laptops - they're in our phones and tablets, our cars and TVs. Yet most applications don't take advantage of this power. Programming multi-threaded applications is hard. Programming for multiple platforms is time-consuming and expensive. We take the pain away. Imagine all of the best things about web applications - no install, work on any web-enabled device, connected, fast to develop, easy to use tools, huge communities... The only thing that is missing is native performance - and that's where we come in. Fabric Engine - multi-threading the web.

Technologie Business

Paul Doyle – CEO @FabricPaul

Fabric is… A development platform for building high-performance software…

Fabric is… A development platform for building high-performance software… …that runs in a browser

Problem 1 Today’s applications need to be concurrent and parallel to use modern hardware… …which is hard

END OF FREE LUNCH

Core blimey

Core blimey END OF FREE LUNCH

Problem 2 Modern applications need to run on many different software and hardware platforms… …which is expensive

Web applications?

Problem 3 Web applications need to perform as well as native applications… …isn’t that impossible?

100X Native (multi-threaded) Delta of Doom 40X Native (single-threaded) 10X web Interpreted (JavaScript) Compiled (C++) Multi-threaded (4 CPU cores) Vectorized (GPU)

If… Web applications were as fast as the best native applications…

http://www.web4point0.com/

info@fabric-engine.com Use all available local hardware Run on any web-enabled device Programmable by a regular developer

info@fabric-engine.com

Entertainment

Content Creation

Engineering

Science

Business

info@fabric-engine.com

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Increase engagement and revenue with Muvi Live Paywall! In this presentation, we will explore the five key benefits of using Muvi Live Paywall to monetize your live streams. You'll learn how Muvi Live Paywall can help you: Monetize your live content easily: Set up pay-per-view access to your live streams and start generating revenue from your content. Increase audience engagement: Provide exclusive, premium content behind the paywall to keep your viewers engaged. Gain valuable viewer insights: Track viewer data and analytics to better understand your audience and tailor your content accordingly. Reduce content piracy: Muvi Live Paywall's security features help protect your content from unauthorized distribution. Streamline your workflow: The all-in-one platform simplifies the process of managing and monetizing your live streams. With Muvi Live Paywall, you can take control of your live stream monetization and create a sustainable business model for your content. Learn more about Muvi Live Paywall and start generating revenue from your live streams today!

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

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Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Juan lago vázquez

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The value of a flexible API Management solution for O...

Apidays New York 2024 - The value of a flexible API Management solution for O...

Apidays New York 2024 - The value of a flexible API Management solution for O...

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

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

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How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

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

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

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presentation ICT roal in 21st century education

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Fabric Engine presentation @ International Startup Festival 2011

1. Paul Doyle – CEO @FabricPaul

2. Fabric is… A development platform for building high-performance software…

3. Fabric is… A development platform for building high-performance software… …that runs in a browser

4. Problem 1 Today’s applications need to be concurrent and parallel to use modern hardware… …which is hard

5.

6. END OF FREE LUNCH

8. Core blimey END OF FREE LUNCH

9. Problem 2 Modern applications need to run on many different software and hardware platforms… …which is expensive

10.

11. Web applications?

12. Problem 3 Web applications need to perform as well as native applications… …isn’t that impossible?

13. 100X Native (multi-threaded) Delta of Doom 40X Native (single-threaded) 10X web Interpreted (JavaScript) Compiled (C++) Multi-threaded (4 CPU cores) Vectorized (GPU)

14. If… Web applications were as fast as the best native applications…

15. http://www.web4point0.com/

16. info@fabric-engine.com Use all available local hardware Run on any web-enabled device Programmable by a regular developer

17. info@fabric-engine.com

18. Entertainment

19. Content Creation

20. Engineering

23. info@fabric-engine.com