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Stay safe, grab a drink and join us virtually for our upcoming "GenAI Risks & Security" Meetup to hear about how to uncover critical GenAI risks and vulnerabilities, AI security considerations in every company, and how a CISO should navigate through GenAI Risks.
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lior mazor
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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.
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Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe 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/
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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
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A Principled Technologies deployment guide Conclusion Deploying VMware Cloud Foundation 5.1 on next gen Dell PowerEdge servers brings together critical virtualization capabilities and high-performing hardware infrastructure. Relying on our hands-on experience, this deployment guide offers a comprehensive roadmap that can guide your organization through the seamless integration of advanced VMware cloud solutions with the performance and reliability of Dell PowerEdge servers. In addition to the deployment efficiency, the Cloud Foundation 5.1 and PowerEdge solution delivered strong performance while running a MySQL database workload. By leveraging VMware Cloud Foundation 5.1 and PowerEdge servers, you could help your organization embrace cloud computing with confidence, potentially unlocking a new level of agility, scalability, and efficiency in your data center operations.
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Artificial Intelligence: Facts and Myths
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
Rails Framework
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Ruby on Rails B. Meyer, P. Tokarev Web Technologies – Ruby on Rails – WS 2010/111 The slides are licensed under a Creative Commons Attribution 3.0 License
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Content 1. Introduction 2. Main Concepts 1.
MVC 2. Convention over Configuration 3. Generation of code 3. Movie Review Demo 4. Additional Features Web Technologies2
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What is Ruby? Open‐source Programming Language Platform independent Object‐Oriented Supports multiple paradigms e.g. Functional Programming Duck‐Typing Metaprogramming First Version (0.95) made public in Dec 1995 Web Technologies3
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Some Ruby Paradigms: Objects In Ruby everything is an object Allows simple loops For‐loop: generates Foreach‐loop: generates 4 Web Technologies Hello World Hello World 2.times{puts “Hello World“} array = [1, ‘hi‘, 3.14] array.each {|item| puts item } 1 ‘hi‘ 3.14
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Some Ruby Paradigms: Duck‐Typing Duck‐Typing allows usage of class‐members only by knowing their name 5 Web Technologies class Duck def description “A grey duck” end def makeNoise “Quaak!“ end end class Cow def description “A big cow” end def makeNoise “Moo!“ end end def animalSound animal puts animal.description + “ makes “ + animal.makeNoise end “animalSound Duck.new” generates “A grey duck makes Quaak!” “animalSound Cow.new” generates “A big cow makes Moo!”
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Some Ruby Paradigms: Metaprogramming Metaprogramming allows code to
write other code at runtime Some possibilities: Redefine classes and methods Dynamically creating classes Automatic object serialization Modifying method calls 6 Web Technologies
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What is Ruby on Rails? Open‐source Web Application Framework written in Ruby It was published by David Heinemeyer Hanson Rails was invented for an Application named „Basecamp“ Rails was first presented in 2004 Web Technologies7
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History Version 1 was published on December 13th 2005 Version 2.0 was published on March 15th 2009 Had more than a hundred improvements e.g.: XML deserialization Debugger Performance improvements Version 3.0 was published on August 29th 2010 Merges merb with Rails → one big Ruby‐based Framework Web Technologies8
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Principles Ruby on Rails uses two main priciples: Convention over Configuration → Easy to set up Don‘t repeat yourself (DRY) → Rapid development Web Technologies9 Image:
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Content 1. Introduction 2. Main Concepts 1.
MVC 2. Convention over Configuration 3. Generation of code 3. Movie Review Demo 4. Additional Features Web Technologies10
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MVC inside Rails Web Technologies11 Controller View Model Client Server Dispatcher ActionController ActionView ActiveRecord DBMS request forward request load request respond redirect render querydata display
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Convention over Configuration Web Technologies12 Model movie Controller movies_controller show edit Table in DB movies new Model Controller View
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Generation of code Rails command: rails generate scaffold movie Table in database Folder and file structure for model, view and controller Creates all 'CRUD' actions for controller Creates all 'CRUD' views 1 line of code generates more then 100 lines of code Web Technologies13
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Content 1. Introduction 2. Main Concepts 1.
MVC 2. Convention over Configuration 3. Generation of code 3. Movie Review Demo 4. Additional Features Web Technologies14
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Movie Review Demo Create Project Web Technologies15
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Movie Review Demo Create Project Use scaffolding Web Technologies16
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Movie Review Demo Create Project Use scaffolding Add new attributes to models Web Technologies17
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Movie Review Demo Create Project Use scaffolding Add new attributes to models Add new model Web Technologies18
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Movie Review Demo Create Project Use scaffolding Add new attributes to models Add new model Create one to many relation Web Technologies19 Movie id :int title :string ... Comment id
:int text :text movie_id :int
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Content 1. Introduction 2. Main Concepts 1.
MVC 2. Convention over Configuration 3. Generation of code 3. Movie Review Demo 4. Additional Features Web Technologies20
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More features Session management Available for different languages (e.g. Java) Various DB support MySQL, Postgres, Oracle etc. Partials Code that belongs to several documents DRY Tests Rails creates test files automatically Layouts Customize look and feel Plug‐ins Open‐source many Plug‐ins are available Web Technologies21
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Implemented in Rails Web Technologies22
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Summary Rails is written in Ruby Ruby != Rails Open‐source Web application framework Convention over Configuration Model‐View‐Controller (MVC) Don’t repeat yourself (DRY) Additional features available 23 Web Technologies
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