Dec. 14 (UPI) — NASA scientists have found a planetary system with as many planets as our own.
“Scientists have found for the first time eight planets in a distant planetary system,” Paul Hertz, astrophysics division director at NASA Headquarters, said during a teleconference on Thursday that was live-streamed on NASA TV.
Astronomers were aware of seven of the eight planets orbiting the Kepler 90 star. The discovery of the new planet, Kepler-90i, was made possible by machine learning.
When Kumar lost his job, he became part of a wave of layoffs washing through the Indian IT industry—a term that includes, in its vastness, call centers, engineering services, business process outsourcing firms, and infrastructure management and software companies. The recent layoffs are part of the industry’s most significant period of churn since it began to boom two decades ago. Companies don’t necessarily attribute these layoffs directly to automation, but at the same time, they constantly identify automation as the spark for huge changes in the industry. Bots, machine learning, and algorithms that robotically execute processes are rendering old skills redundant, recasting the idea of work and making a smaller labor force seem likely.
Technology outsourcing has been India’s only reliable job creator in the past 30 years. Now artificial intelligence threatens to wipe out those gains.
Posted in robotics/AI, transportation
From babysitting children to beating the world champion at Go, robots are slowly but surely developing more and more advanced capabilities.
And many scientists, including Professor Stephen Hawking, suggest it may only be a matter of time before machines gain consciousness.
In a new article for The Conversation, Professor Subhash Kak, Regents Professor of Electrical and Computer Engineering at Oklahoma State University explains the possible consequences if artificial intelligence gains consciousness.
Artificial intelligence is seeping into every nook and cranny of modern life. AI might tag your friends in photos on Facebook or choose what you see on Instagram, but materials scientists and NASA researchers are also beginning to use the technology for scientific discovery and space exploration.
But there’s a core problem with this technology, whether it’s being used in social media or for the Mars rover: The programmers that built it don’t know why AI makes one decision over another.
Modern artificial intelligence is still new. Big tech companies have only ramped up investment and research in the last five years, after a decades-old theory was shown to finally work in 2012. Inspired by the human brain, an artificial neural network relied on layers of thousands to millions of tiny connections between “neurons” or little clusters of mathematic computation, like the connections of neurons in the brain. But that software architecture came with a trade-off: Since the changes throughout those millions of connections were so complex and minute, researchers aren’t able to exactly determine what is happening. They just get an output that works.
With machine learning algorithms evolving at an incredibly fast pace, concerns are mounting whether artificial intelligence (AI) is the logical continuation of human history or its demise. RT talked to three experts in the field about the benefits and dangers of AI.
Three AI experts engaged in a debate on RT about the benefits and dangers of rapidly-developing technology and AI.
Posted in robotics/AI
(Tech Xplore)—Researchers exploring AI systems are making news and familiarizing the public with terms like reinforcement learning and machine learning. Recent headlines are still making some heads turn in surprise. AI software is “learning” how to replicate itself and to build its own AI child.
As such, Google’s AI created its child AI using reinforcement learning, entirely automated.
Meet ‘NASNet.’ Google researchers refer to it as a novel architecture.
NASA will host a media teleconference at 1 p.m. EST Thursday, Dec. 14, to announce the latest discovery made by its planet-hunting Kepler space telescope. The discovery was made by researchers using machine learning from Google. Machine learning is an approach to artificial intelligence, and demonstrates new ways of analyzing Kepler data.
The briefing participants are:
