7 Reasons You Should Embrace, Not Fear, Artificial Intelligence. In Brief While much attention is placed on the dangers of artificial intelligence and automation, the technology has tremendous potential to improve the world.
From revolutionizing healthcare to helping us protect the environment, AI could prove to be humanity's greatest ally. The Best or Worst Thing People have many fears about artificial intelligence (AI) and how it will affect the world. Those fears include robots taking jobs away from people, surveillance systems run amok, and even intelligent machines turning against us and completely wiping out humanity. Artificial Intelligence Is Already a Better Artist Than You Are. “Man is the sex organ of the machine world.”
—Marshall McLuhan The pictures on this page were all designed by a machine learning algorithm written by the team at Google Brain. Art is the latest frontier AI companies are trying to tackle. Slowly but surely AI is becoming better and better at more and more things. The program, called Google Deep Dream, learned how to identify objects by scanning millions of photos pixel by pixel. Google is developing a variety of tools to help speed machine learning along. Google Created an AI That Can Learn Almost as Fast as a Human. Deep Learning, Fast Deep learning machines have been generating incredible amounts of buzz in recent months.
Their extensive abilities can allow them to play video games, recognize faces, and, most importantly, learn. In 2047, Computers Will Have An IQ Of Over 10,000. By Lukas Magnuson Masayoshi Son, CEO Softbank Robotics, at the Mobile World Congress in Barcelona has predicted that in merely 30 years from now, artificial intelligence in all the machines will exceed human intelligence which may cause a singularity.
BY 2047 By 2047, the IQ of a single computer chip will be 10,000 which is greater than the most intelligent people in the world. That would be the time when artificial intelligence will be able to survive on its own controlling all of the smart technology around the world. Humanity has to find its role in the world to exist either as a partner to artificial super-intelligence or on its own. Google’s Artificial Intelligence Learns “Highly Aggressive” Behaviour & Betrayal Pay Off – Collective Evolution. The Government Isn’t Doing Enough to Solve Big Problems with AI.
The government should play a bigger role in developing new tools based on artificial intelligence, or we could miss out on revolutionary applications because they don’t have obvious commercial upside.
That was the message from prominent AI technologists and researchers at a Senate committee hearing last week. They agreed that AI is in a crucial developmental moment, and that government has a unique opportunity to shape its future. They also said that the government is in a better position than technology companies to invest in AI applications aimed at broad societal problems. Today just a few companies, led by Google and Facebook, account for the lion’s share of AI R&D in the U.S. But Eric Horvitz, technical fellow and managing director of Microsoft Research, told the committee members that there are important areas that are rich and ripe for AI innovation, such as homelessness and addiction, where the industry isn’t making big investments. AI Begins to Understand the 3-D World. There’s been some stunning progress in artificial intelligence of late, but it’s been surprisingly flat.
Now AI researchers are moving beyond two-dimensional images and pixels. Instead they’re building systems capable of picturing the three-dimensional world and taking action. The work could have a big impact on robotics and self-driving cars, helping to make machines that can learn how to act more intelligently in the real world. “An exciting and important trend is the move in learning-based vision systems from just doing things with images to doing things with three-dimensional objects,” says Josh Tenenbaum, a professor in MIT’s Department of Brain and Cognitive Sciences.
“That includes seeing objects in depth and modeling whole solid objects—not just recognizing that this pattern of pixels is a dog or a chair or table.” Neural Network Learns to Identify Criminals by Their Faces. Soon after the invention of photography, a few criminologists began to notice patterns in mugshots they took of criminals.
Offenders, they said, had particular facial features that allowed them to be identified as law breakers. One of the most influential voices in this debate was Cesare Lombroso, an Italian criminologist, who believed that criminals were “throwbacks” more closely related to apes than law-abiding citizens. He was convinced he could identify them by ape-like features such as a sloping forehead, unusually sized ears and various asymmetries of the face and long arms.
Indeed, he measured many subjects in an effort to prove his view although he did not analyze his data statistically. This shortcoming eventually led to his downfall. And there the debate rested until 2011, when a group of psychologists from Cornell University showed that people were actually quite good at distinguishing criminals from noncriminals just by looking at photos of them. The results are unsettling. Google’s AI translation tool seems to have invented its own secret internal language. All right, don’t panic, but computers have created their own secret language and are probably talking about us right now.