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This book was rated the 9th best technology history book by book authority.
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This talk was given at a local TEDx event, produced independently of the TED Conferences. This persuasive talk shows how essential and easy it is to gain a basic understanding of computer science learning principles. Our world increasingly driven by technology and software, so we all need to know the creative, problem-solving power of computer science. This is especially important to students who will lead the way in our shared future. Learn how you can take the next step at http://code.org .
Hadi Partovi learned computer science so he could have games to play on the computer his father gave him (a Commodore 64) when he was 10 years old in Iran. Since then he has worked as computer programmer and also as an entrepreneur, investor, and as co-founder of Code.org, a nonprofit dedicated to growing computer science education in the US and worldwide. Hadi has been Microsoft’s Group Program Manager for Internet Explorer, was General Manager of MSN.com where he helped deliver 30% annual growth and MSN’s only year of profit. He was on the founding teams of Tellme and iLike. As an angel investor and startup advisor, Hadi’s portfolio includes Facebook, Zappos, Dropbox, airbnb, OPOWER, Flixster, Bluekai, TASER, and many others.
About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
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Part 2: https://www.youtube.com/watch?v=q-Vqxugd6HQ
Versión en español de este video: https://www.youtube.com/watch?v=29OHkumNQqE
In this part 1 video of “What is Computer Science?” I cover programming and discrete math in some detail.
Computer science is often thought of as just glorified programming. But once you enter undergrad you will realize this is not the entire story. Computer science has more to it including discrete math, algorithms, theory of computation, hardware programming, and more. If you just want to learn how to program, then the computer science major will be more than you are expecting.
In this video I mostly cover discrete math and concepts within it because of how important it is for classes to come. Although it’s not used in all your classes, I show you examples so you have an idea of what math you will encounter.
In this course, you will learn basics of computer programming and computer science. The concepts you learn apply to any and all programming languages and will be a good base onto which you can build your skills.
This video is meant for those who are interested in computer science and programming but have no idea where to start and have little to no background information on coding.
✏️Course created by Steven and Sean from NullPointer Exception. Check out their channel: https://www.youtube.com/channel/UCmWDlvMYYEbW42B8JyxFBcA
⭐️ Course Contents ⭐️
⌨️ (00:05) Introduction
⌨️ (01:37) What is Programming?
⌨️ (06:19) How do we write Code?
⌨️ (11:44) How do we get Information from Computers?
⌨️ (14:46) What can Computers Do?
⌨️ (20:43) What are Variables?
⌨️ (25:02) How do we Manipulate Variables?
⌨️ (31:54) What are Conditional Statements?
⌨️ (37:54) What are Array’s?
⌨️ (44:26) What are Loops?
⌨️ (49:37) What are Errors?
⌨️ (55:22) How do we Debug Code?
⌨️ (1:00:25) What are Functions?
⌨️ (1:09:52) How can we Import Functions?
⌨️ (1:13:45) How do we make our own Functions?
⌨️ (1:21:56) What are ArrayLists and Dictionaries?
⌨️ (1:27:38) How can we use Data Structures?
⌨️ (1:36:27) What is Recursion?
⌨️ (1:43:42) What is Pseudocode?
⌨️ (1:50:40) Choosing the Right Language?
⌨️ (1:55:34) Applications of Programming
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A documentary exploring how artificial intelligence is changing life as we know it — from jobs to privacy to a growing rivalry between the U.S. and China.
FRONTLINE investigates the promise and perils of AI and automation, tracing a new industrial revolution that will reshape and disrupt our world, and allow the emergence of a surveillance society.
This journalism is made possible by viewers like you. Support your local PBS station here: http://www.pbs.org/donate
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#ArtificialIntelligence #Automation #documentary
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Funding for FRONTLINE is provided through the support of PBS viewers and by the Corporation for Public Broadcasting. Major funding for FRONTLINE is provided by the John D. and Catherine T. MacArthur Foundation and the Ford Foundation. Additional funding is provided by the Abrams Foundation, the Park Foundation, The John and Helen Glessner Family Trust, and the FRONTLINE Journalism Fund with major support from Jon and Jo Ann Hagler on behalf of the Jon L. Hagler Foundation.
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📝 The paper “The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies” is available here:
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Artificial Intelligence is touching almost every aspect of our lives. It’s reasonable to expect AI influence will only increase in the future. One of many fields heavily influenced by AI is the military. Particularly in the development of Supersoldiers. The notion of super-soldiers enhanced with biotechnology and cybernetics was once only possible in the realm of science fiction. But it may not be too long before these concepts become a reality.
A new worldwide arms race is pitting countries against each other to be the first to successfully create real genetically modified super soldiers by using tools such as CRISPR. Understandably many of these human enhancement technologies raise health and safety questions and it is more likely these enhancements will first gain traction in countries that do not place as much weight on ethical concerns.
According to US Intelligence, China has conducted “human testing” on members of the People’s Liberation Army in hope of developing soldiers with “biologically enhanced capabilities.
This has made the U.S. military’s top intelligence agencies increasingly worried but the Pentagon has significantly invested in its own research in AI and in the extension of the human senses beyond their current physical limitations, to provide soldiers with superhuman abilities.
The basics of brain-machine interfaces with AI are being developed for the military, and if the results are as successful as scientists hope they will be, soldiers could one day be enhanced with cybernetics, effectively becoming trans-human soldiers.
The US Military is also examining newly scientific tools, like genetic engineering, brain chemistry, and shrinking robotics, for even more dramatic enhancements. But most of this advanced technology remains classified.
We’re still a long way from the kind of capabilities required for doomsday scenarios like super-soldiers or genetically-targeted biological weapons, but recent developments suggest there’s real danger of a new genetic arms race in the making.
#AI #supersoldier #science
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Lt. Gen. Michael S. Groen speech from: https://www.defense.gov/
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Ray Kurzweil at the 25th Army Science Conference on 27 November, 2007
YouTube video source: https://www.youtube.com/watch?v=6GJPL73vdZo&t=0s
Best resources to learn Data Structures and Algorithms:
MIT Lectures: https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
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I wanted to try and give a general overview of Data structures and Algorithms. As someone who has a FAANG offer, I thought I’d jump start you guys into the coding interview scene with this video.
This video covers:
Arrays, linked lists, BFS (Breadth first search), DFS (depth first search), stack, queue, binary tree, bst, (binary search tree), binary search, graphs, topological sort, dijistkras, heaps, hash maps, collision, merge sort, divide and conquer, selection sort
#faang #coding #algorithms
What is an Algorithm? And how do they augment, dement and replace our brains? Let’s find out and stuff.
How The Office Ruined Your Life: https://youtu.be/zmqUWE1qha0
Hello World: How to be Human in the Age of the Machine by Hannah Fry,
Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark,
The Future of Employment by Carl Benedikt Frey & Michael Osborne,
Computer-based Personality Judgments Are More Accurate than Those Made by Humans
by Wu Youyou, Michal Kosinski, and David Stillwell.
Ex-Google TechLead explains the top 10 algorithms you need to know for the programming interviews. Join me in my new coding interview training program: http://techinterviewpro.com/
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View full lesson: http://ed.ted.com/lessons/your-brain-can-solve-algorithms-david-j-malan
An algorithm is a mathematical method of solving problems both big and small. Though computers run algorithms constantly, humans can also solve problems with algorithms. David J. Malan explains how algorithms can be used in seemingly simple situations and also complex ones.
Lesson by David J. Malan, animation by enjoyanimation.
Algorithms are the sets of steps necessary to complete computation – they are at the heart of what our devices actually do. And this isn’t a new concept. Since the development of math itself algorithms have been needed to help us complete tasks more efficiently, but today we’re going to take a look a couple modern computing problems like sorting and graph search, and show how we’ve made them more efficient so you can more easily find cheap airfare or map directions to Winterfell… or like a restaurant or something.
Ps. Have you had the chance to play the Grace Hopper game we made in episode 12. Check it out here! http://thoughtcafe.ca/hopper/
In the pseudocode for selection sort at 3:09, this line:
swap array items at index and smallest
swap array items at i and smallest
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