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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.
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#ArtificialIntelligence #Automation #documentary
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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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Ray Kurzweil at the 25th Army Science Conference on 27 November, 2007
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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.
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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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