روندها و رویدادها در فناوری اطلاعات، نسل z، ویژگی های نسل اینترنت، ابر روندهای تکنولوژی، جان هنری، The turk، سایبورگ، سن تور، قنطورس، نیماسب، انواع فناوری ها
Hello All,
Good and easy presentation.
I prepared all slides very precisely. Wrote information which really needed.
I got very good score with this PPT.
All the best for you
Artificial Intelligence Robotics (AI) PPT by Aamir Saleem AnsariTech
Artificial intelligence (AI) is the intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at an arbitrary goal.Colloquially, the term "artificial intelligence" is likely to be applied when a machine uses cutting-edge techniques to competently perform or mimic "cognitive" functions that we intuitively associate with human minds, such as "learning" and "problem solving".The colloquial connotation, especially among the public, associates artificial intelligence with machines that are "cutting-edge" (or even "mysterious"). This subjective borderline around what constitutes "artificial intelligence" tends to shrink over time; for example, optical character recognition is no longer perceived as an exemplar of "artificial intelligence" as it is nowadays a mundane routine technology.Modern examples of AI include computers that can beat professional players at Chess and Go, and self-driving cars that navigate crowded city streets.
AI research is highly technical and specialized, and is deeply divided into subfields that often fail to communicate with each other. Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications.
Presented at AI NEXTCon Seattle 1/17-20, 2018
http://aisea18.xnextcon.com
join our free online AI group with 50,000+ tech engineers to learn and practice AI technology, including: latest AI news, tech articles/blogs, tech talks, tutorial videos, and hands-on workshop/codelabs, on machine learning, deep learning, data science, etc..
Artificial Intelligence: Should You Be Worried?Harry Blanchard
An introduction to the what artificial intelligence is and a cultural history of the fear of creation of intelligence. A realistic assessment is made of the so-called singularity and what we really should be worried about: artificial "semi-intelligence." Talk given to the Northern Monmouth County Branch of the AAUW.
Michael Peter Edson — Robot vs. Human: Who Will Win?Michael Edson
Presentation for the VIII St. Petersburg International Cultural Festival, St. Petersburg, Russia. 16 November 2019. See https://usingdata.com for updates and new versions.
Conference: https://culturalforum.ru.
Panel: https://culturalforum.ru/event/1565208895246-robot-vs-chelovek-kakie-navyki-pobedyat
Non-technical overview of artificial intelligenceMartin Opdam
Non-technical overview of everything you can come across when reading about AI. This presentation tell you how AI started, how it evolved, what it can do today and what it might do in the future.
Alan Turing and the Programmable Universe (lite version)piero scaruffi
Alan Turing, the cultural context of his world, and what would Turing say of today's high-tech world. See also www.scaruffi.com/singular for presentations on AI and the Singularity.
Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI research defines itself as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of success at some goal
AI Artificial Intelligence1Reading responsePeter .docxoreo10
AI: Artificial Intelligence
1
Reading response
Peter Dormer, “Craft and the Turing Test for Practical Thinking,” in The Challenge of Technology.
What is personal know-how? What is distributed knowledge?
How do they relate to the Turing test?
Give one example of your own how these concepts matter today to artists and makers, or better yet, in your own experience?
Journal homework
Keep a record (text and drawings) of events in daily life where human and machine intersect and interact. Fill at least two pages with your observations.
Mary Shelley, Frankenstein, or The Modern Prometheus, 1818
Boris Karloff in Frankenstein in 1931 directed by James Whale
Mary Shelley first published Frankenstein, or the Modern Prometheus 1818. the novel allegorizes the Romantic obsession with discovering the power or principle of life. Ideas about a life power were consistent with the scientific understanding of the day. Darwin himself spoke of an organizing “spirit of animation” in his Zoonomia; or, The Laws of Organic Life, in which he stated “the world itself might have been generated, rather than created.”
Dr. Frankenstein picked all the parts for his monster based on their beauty, but when it comes to life, the monster is unbearably ugly. “I had worked hard for nearly two years, for the sole purpose of infusing life into an inanimate body…the beauty of the dream vanished, and breathless horror and disgust filled my heart. Unable to endure the aspect of the being I had created, I rushed out of the room”.
4
Two definitions of AI:
“The use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular.
--Margaret Boden
“The science of making machines do things that would require intelligence if done by humans.”
-Marvin Minsky
BOTH OF THESE STATEMENTS ORIGINATE IN ALAN TURING’S FIRST COMPUTER SCIENCE ARTICLE
Working assumption: all cognition is computable
Question:
Is what’s not yet known to be computable actually computable?
if so, then what?
if not, why not, and what does that tell us about cognition?
7
Who was Alan Turing?
B. 1912 London, attended King’s College, Cambridge and Princeton University. He studied mathematics and logic (he hadn’t invented computer science yet)
At 23, he invented the “Turing machine” and published “On Computable Numbers in 1936, the first and most important paper in comp. sci.
During WWII, solved the German Enigma code by use of electromechanical devices—a precursor to the computer
Laid the foundation for major subfields of comp sci: theory of computation, design of hardware and software, and the study of artificial intelligence
“The Imitation Game,”
aka
“The Turing Test”
In 1950, Turing posited a way to test machine intelligence: a person in a room before a screen. S/he would correspond with two agents and based on their responses, decide which was a machine and which was human. If the machine can pass fo.
Between Hermeneutics and Deceit: Keeping Natural Language Generation in LineLeah Henrickson
Presented with Dr Albert Meroño-Peñuela at the Digital Humanities Congress (10 September 2022), organised by the University of Sheffield's Digital Humanities Institute. Argues for explicit acknowledgement of hype surrounding AI-driven natural language generation (NLG) systems, using prompt engineering to dispel understandings of language usage as line of thought. Note that the formatting of the slides has been muddled by SlideShare - please download the slides if you wish to see the intended formatting.
Hello All,
Good and easy presentation.
I prepared all slides very precisely. Wrote information which really needed.
I got very good score with this PPT.
All the best for you
Artificial Intelligence Robotics (AI) PPT by Aamir Saleem AnsariTech
Artificial intelligence (AI) is the intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at an arbitrary goal.Colloquially, the term "artificial intelligence" is likely to be applied when a machine uses cutting-edge techniques to competently perform or mimic "cognitive" functions that we intuitively associate with human minds, such as "learning" and "problem solving".The colloquial connotation, especially among the public, associates artificial intelligence with machines that are "cutting-edge" (or even "mysterious"). This subjective borderline around what constitutes "artificial intelligence" tends to shrink over time; for example, optical character recognition is no longer perceived as an exemplar of "artificial intelligence" as it is nowadays a mundane routine technology.Modern examples of AI include computers that can beat professional players at Chess and Go, and self-driving cars that navigate crowded city streets.
AI research is highly technical and specialized, and is deeply divided into subfields that often fail to communicate with each other. Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications.
Presented at AI NEXTCon Seattle 1/17-20, 2018
http://aisea18.xnextcon.com
join our free online AI group with 50,000+ tech engineers to learn and practice AI technology, including: latest AI news, tech articles/blogs, tech talks, tutorial videos, and hands-on workshop/codelabs, on machine learning, deep learning, data science, etc..
Artificial Intelligence: Should You Be Worried?Harry Blanchard
An introduction to the what artificial intelligence is and a cultural history of the fear of creation of intelligence. A realistic assessment is made of the so-called singularity and what we really should be worried about: artificial "semi-intelligence." Talk given to the Northern Monmouth County Branch of the AAUW.
Michael Peter Edson — Robot vs. Human: Who Will Win?Michael Edson
Presentation for the VIII St. Petersburg International Cultural Festival, St. Petersburg, Russia. 16 November 2019. See https://usingdata.com for updates and new versions.
Conference: https://culturalforum.ru.
Panel: https://culturalforum.ru/event/1565208895246-robot-vs-chelovek-kakie-navyki-pobedyat
Non-technical overview of artificial intelligenceMartin Opdam
Non-technical overview of everything you can come across when reading about AI. This presentation tell you how AI started, how it evolved, what it can do today and what it might do in the future.
Alan Turing and the Programmable Universe (lite version)piero scaruffi
Alan Turing, the cultural context of his world, and what would Turing say of today's high-tech world. See also www.scaruffi.com/singular for presentations on AI and the Singularity.
Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI research defines itself as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of success at some goal
AI Artificial Intelligence1Reading responsePeter .docxoreo10
AI: Artificial Intelligence
1
Reading response
Peter Dormer, “Craft and the Turing Test for Practical Thinking,” in The Challenge of Technology.
What is personal know-how? What is distributed knowledge?
How do they relate to the Turing test?
Give one example of your own how these concepts matter today to artists and makers, or better yet, in your own experience?
Journal homework
Keep a record (text and drawings) of events in daily life where human and machine intersect and interact. Fill at least two pages with your observations.
Mary Shelley, Frankenstein, or The Modern Prometheus, 1818
Boris Karloff in Frankenstein in 1931 directed by James Whale
Mary Shelley first published Frankenstein, or the Modern Prometheus 1818. the novel allegorizes the Romantic obsession with discovering the power or principle of life. Ideas about a life power were consistent with the scientific understanding of the day. Darwin himself spoke of an organizing “spirit of animation” in his Zoonomia; or, The Laws of Organic Life, in which he stated “the world itself might have been generated, rather than created.”
Dr. Frankenstein picked all the parts for his monster based on their beauty, but when it comes to life, the monster is unbearably ugly. “I had worked hard for nearly two years, for the sole purpose of infusing life into an inanimate body…the beauty of the dream vanished, and breathless horror and disgust filled my heart. Unable to endure the aspect of the being I had created, I rushed out of the room”.
4
Two definitions of AI:
“The use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular.
--Margaret Boden
“The science of making machines do things that would require intelligence if done by humans.”
-Marvin Minsky
BOTH OF THESE STATEMENTS ORIGINATE IN ALAN TURING’S FIRST COMPUTER SCIENCE ARTICLE
Working assumption: all cognition is computable
Question:
Is what’s not yet known to be computable actually computable?
if so, then what?
if not, why not, and what does that tell us about cognition?
7
Who was Alan Turing?
B. 1912 London, attended King’s College, Cambridge and Princeton University. He studied mathematics and logic (he hadn’t invented computer science yet)
At 23, he invented the “Turing machine” and published “On Computable Numbers in 1936, the first and most important paper in comp. sci.
During WWII, solved the German Enigma code by use of electromechanical devices—a precursor to the computer
Laid the foundation for major subfields of comp sci: theory of computation, design of hardware and software, and the study of artificial intelligence
“The Imitation Game,”
aka
“The Turing Test”
In 1950, Turing posited a way to test machine intelligence: a person in a room before a screen. S/he would correspond with two agents and based on their responses, decide which was a machine and which was human. If the machine can pass fo.
Between Hermeneutics and Deceit: Keeping Natural Language Generation in LineLeah Henrickson
Presented with Dr Albert Meroño-Peñuela at the Digital Humanities Congress (10 September 2022), organised by the University of Sheffield's Digital Humanities Institute. Argues for explicit acknowledgement of hype surrounding AI-driven natural language generation (NLG) systems, using prompt engineering to dispel understandings of language usage as line of thought. Note that the formatting of the slides has been muddled by SlideShare - please download the slides if you wish to see the intended formatting.
A Training & Simulation Perspective on Maritime Information & AutomationAndy Fawkes
Presented at the 2nd SMi Maritime Information Warfare Conference - London on 27 November 2018. It proposed that Information Warfare & Automation and Training & Simulation have a number of parallels. It looked at the the Modern Sailor; the latest Training & Simulation Developments; Data & Digital Twins/Siblings; latest Gaming technology; and Automation.
هوشمندی جوامع، میزان اطلاعات تولید شده، قانون مور، سینگولاریتی، تکینگی، هوش ماشین، روند تحولات زندگی انسان ها، انقلاب های صنعتی، انقلاب صنعتی چهارم، اینترنت چیزها، فناوری ابری، کلان داده ها، هوش مصنوعی، نانوتکنولوژی، بیوتکنولوژی، ربات های هوشمند و عاطفی، اتومبیل های خودران، پرینت سه بعدی
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
5. United States birth rate (births per 1,000 population)
World War I
1914 – 1918
World War II
1939 – 1945
Baby Boomers
1945-1960
Generation X
1961-1980
Generation Y
1981-1995
Generation Z
After 1995
Internet(www) - 1995
16. With his gang, Pecos Bill was able to create the
biggest ranch in the Southwest. ... Pecos Bill
invented the art of being a cowboy. He invented
the skill of throwing a special rope called a
lasso over a cow's head to catch wandering
cattle.
American Folk Heroes
Paul Bunyan is a giant lumberjack in American
folklore. His exploits revolve around the tall
tales of his superhuman labors, and he is
customarily accompanied by Babe the Blue Ox.
Casey at the Bat: a baseball poem written in
1888 by Ernest Thayer. Casey is Mudville's
baseball star player. It has become one of the
best-known poems in American literature.
John Henry is an African American folk hero. He
is said to have worked as a "steel-driving
man"—a man tasked with hammering a steel
drill into rock to make holes for explosives to
blast the rock in constructing a railroad tunnel.
18. One day, a salesman came to camp, boasting that his steam-powered machine could outdrill any man. A race was set: man against machine.
John Henry: A man against steam-drill machine
19. John Henry won, But…
John Henry won, the legend says, driving 14 feet to the drill's nine
20. He died shortly after(some say from exhaustion, some say from a stroke)
38. AlphaGo is a computer program that plays the board game Go.
It was developed by Alphabet Inc.'s Google DeepMind in London
Lee sedol – Professional Go player – South Korea
39.
40. July 19, 2007 - The journal Science publishes Schaeffer's team's article "Checkers Is Solved",
presenting their proof that the best a player playing against Chinook can achieve is a draw.
Checkers: Tinsley vs. Chinook
42. Computer Backgammon Program: BKG 9.8
In 1979, backgammon-playing program BKG 9.8 wreck Luigi Villa,
the world’s number one player at the time, by a score of 7-1.
53. Human Augmentation & Human Substitution
TECHNOLOGY CAN HELP US OVERCOME
LAND AND LABOUR CONSTRAINTS, BUT
ALSO DESTROY JOBS
TECHNOLOGIES THAT MAKE US “BETTER
THAN HUMAN” COULD RADICALLY
TRANSFORM OUR LIVES