News - Houstonian 03.28.2013
Humans beware: Skynet is one step closer to actually happening.
Skynet is a fictional, self-aware artificial intelligence system which features centrally in the Terminator franchise and serves as the franchise's main antagonist. Scarcely depicted visually in any of the Terminator media, Skynet's operations are almost exclusively performed by war-machines, cyborgs (usually a Terminator), and other computer systems, with its ultimate goal the extinction of the human race.
The Pentagon is readying a four-year project to boost AI systems by building machines that can teach themselves and get smarter over time while also making it easier for ordinary people to build them. The Pentagon is using its research division, the Defense Advanced Research Projects Agency, to back this project. DARPA is inviting scientists to a Virginia conference to brainstorm on April 10.
Machine learning can be used to make better systems for intelligence, surveillance and reconnaissance; a core military necessity. It can also be used for making better speech recognition systems, self-driving cars and to keep pace against internet spam filling up search engines and e-mail inboxes.
“Our goal is that future machine learning projects won’t require people to know everything about both the domain of interest and machine learning to build useful machine learning applications,” DARPA program manager Kathleen Fisher said in an announcement.
DAPRA claims that it is possible to build machines that can learn and evolve by using algorithms, or “problamistic programming.” This type of programming tasks the machine with scouring through huge amounts of data and selecting the best of it. After that, the machine learns to repeat the process and do it better.
The Pentagon is readying a four-year project to boost AI systems by building machines that can teach themselves and get smarter over time while also making it easier for ordinary people to build them. The Pentagon is using its research division, the Defense Advanced Research Projects Agency, to back this project. DARPA is inviting scientists to a Virginia conference to brainstorm on April 10.
Machine learning can be used to make better systems for intelligence, surveillance and reconnaissance; a core military necessity. It can also be used for making better speech recognition systems, self-driving cars and to keep pace against internet spam filling up search engines and e-mail inboxes.
“Our goal is that future machine learning projects won’t require people to know everything about both the domain of interest and machine learning to build useful machine learning applications,” DARPA program manager Kathleen Fisher said in an announcement.
DAPRA claims that it is possible to build machines that can learn and evolve by using algorithms, or “problamistic programming.” This type of programming tasks the machine with scouring through huge amounts of data and selecting the best of it. After that, the machine learns to repeat the process and do it better.
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