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Originally posted by connorromanow
reply to post by Corruption Exposed
im not to worried of a robot take over from the big typpes of machines, just drop an emp on them and the problem is solved.
as for the threat from nanatech grey gooing the earth however that will be more difficult to fend off
Originally posted by Nick_X
The problem with Robotic warfare is that the controls are all performed by a human at a terminal.
If you look at APM (actions per minute) averages in the Realtime Strategy game Starcraft or Starcraft 2, you will find that there is a huge disparity between Korea and the rest of the world.
I hypothesize that in the era of robot based combat - "he who clicks fastest wins"
Originally posted by okamitengu
just some points for reference...
www.cyberdyne.jp...
skynet
news.bbc.co.uk...
www.astrium.eads.net...
its a worry when these names are already popping up...
Originally posted by Corruption Exposed
reply to post by Rukas
No. Simply because I know people that are developing quantum computing technology with funding from the military. So I know the tech is not there yet. At the moment it works, isnt as good as current CPUs, and is unstable for long term use.
No offense, but I "know" a lot of people too. Maybe they aren't allowed to tell you what they know, or they are not as important as they say they are.
Like I said, no offense, but just because you "know" someone who said so, I am not going to base my opinion solely on what the person you "know" says.
You can believe what you want. You can believe in unicorns and pink flying elephants for all I care, it still isn't going to make it true.
The fact is there is currently a quantum computing race going on between Universities around the world
A quantum computer is a device for computation that makes direct use of quantum mechanical phenomena, such as superposition and entanglement, to perform operations on data. Quantum computers are different from traditional computers based on transistors. The basic principle behind quantum computation is that quantum properties can be used to represent data and perform operations on these data.[1] A theoretical model is the quantum Turing machine, also known as the universal quantum computer. Although quantum computing is still in its infancy, experiments have been carried out in which quantum computational operations were executed on a very small number of qubits (quantum bits). Both practical and theoretical research continues, and many national government and military funding agencies support quantum computing research to develop quantum computers for both civilian and national security purposes, such as cryptanalysis.[2]
Artificial intelligence (AI) is the intelligence of machines and the branch of computer science that aims to create it. AI textbooks define the field as "the study and design of intelligent agents"[2] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.[3] John McCarthy, who coined the term in 1956,[4] defines it as "the science and engineering of making intelligent machines."[5] The field was founded on the claim that a central property of humans, intelligence—the sapience of Homo sapiens—can be so precisely described that it can be simulated by a machine.[6] This raises philosophical issues about the nature of the mind and the ethics of creating artificial beings, issues which have been addressed by myth, fiction and philosophy since antiquity.[7] Artificial intelligence has been the subject of optimism,[8] but has also suffered setbacks[9] and, today, has become an essential part of the technology industry, providing the heavy lifting for many of the most difficult problems in computer science.[10] AI research is highly technical and specialized, and deeply divided into subfields that often fail to communicate with each other.[11] Subfields have grown up around particular institutions, the work of individual researchers, the solution of specific problems, longstanding differences of opinion about how AI should be done and the application of widely differing tools. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects.[12] General intelligence (or "strong AI") is still among the field's long term goals.[13]
I can talk forever aboout this stuff but I got to go to class soon Ill post a bunch of links for futher reading later