According to NASA, the discovery of Kepler-90i was the result of the work by researchers Christopher Shallue and Andrew Vanderburg, who used an artificial "neural network" to examine the 35,000 possible planetary signals returned by the unmanned Kepler spacecraft. Artificial intelligence has been used before to process the Kepler data, but by imitating the way neurons connect in the human brain, Shallue and Vandenberg were able to train the computer to seek out and identify weak transit signals that had previously been missed.

At the recent AWS re:Invent in Las Vegas, Andy Jassy, CEO of AWS, introduced 20 platforms on which Artificial Intelligence (AI) and Machine Learning (ML)-based services can be used. Everyone at the event – from Goldman Sachs to NASA to Expedia – showed the world how AWS can deploy infrastructure and heavy life data very quickly. But there's is a history why AWS is running on a $18 billion dollar run rate because they were the first to move to the cloud and they are constantly innovating by talking to customers. Simply put, it has thousands of engineers working on AI-based services. Dr Charles Elkan, Amazon Fellow, AI and Deep Learning, says, "We have worked on several technologies and with several businesses by understanding their problems. We spend a lot of time talking to our customers and building solutions for them with AI. "It is a system or a service that performs tasks that usually require human intelligence.

Before scientists can effectively capture and deploy fusion energy, they must learn to predict major disruptions that can halt fusion reactions and damage the walls of doughnut-shaped fusion devices called tokamaks. Timely prediction of disruptions, the sudden loss of control of the hot, charged plasma that fuels the reactions, will be vital to triggering steps to avoid or mitigate such large-scale events. Today, researchers at the U.S. Department of Energy's (DOE) Princeton Plasma Physics Laboratory (PPPL) and Princeton University are employing artificial intelligence to improve predictive capability. Researchers led by William Tang, a PPPL physicist and a lecturer with the rank of professor in astrophysical sciences at Princeton, are developing the code for predictions for ITER, the international experiment under construction in France to demonstrate the practicality of fusion energy. The new predictive software, called the Fusion Recurrent Neural Network (FRNN) code, is a form of "deep learning" -- a newer and more powerful version of modern machine learning software, an application of artificial intelligence.

On Thursday, NASA announced the discovery of an eighth exoplanet circling Kepler-90, a sun-like star with its own planetary system. The discovery tied Kepler-90 to our Solar System. RELATED: Could Mysterious Cigar-Shaped Comet Be Alien Spaceship? The discovery of Kepler-90i was possible using artificial intelligence technology from Google. "(It was) an approach to artificial intelligence in which computers'learn,'" NASA explained in a press release.

He enrolled in the NYC Data Science Academy 17-week remote bootcamp program, taking place from January to April 2017. This post is based on his third class project focusing on web scraping in Python. The original article can be found here. Clean technology continues to undergo significant advancements spanning technology, sustainability, financial, and policy issues. Given the field's large scope, there is no shortage of news outlets covering the action.

The idea of deploying artificial intelligence comes from scientists working at the U.S. Department of Energy Princeton Plasma Physics Laboratory. This is in relation to the safe operation of future fusion reactors. Matters of concern for physicists center on the timely prediction of disruptions such as the sudden loss of control of the hot, charged plasma that fuels the reactions. The process of nuclear fusion involves a reaction whereby two or more atomic nuclei come close enough to form one or more different atomic nuclei and subatomic particles (neutrons or protons). The difference in mass between the reactants and products is manifested as the release of large amounts of energy.

Although it does most of its work behind the scenes, from car navigation to computer assistants to movie recommendations to your social media feeds, artificial intelligence (AI) is becoming a deeper part of our everyday lives. The public may not know exactly what it is, but they do think AI will have a big impact on their lives and the U.S. economy, a new poll finds. At a recent event hosted by the U.S. Chamber's Technology Engagement Center (C_TEC), TheBridge, and Dcode42, C_TEC shared the results of a poll they recently conducted with Morning Consult. More than half of the respondents admitted that they knew "not much" or "nothing at all" about Artificial Intelligence. One-in-three said they didn't know there was a difference between machine learning and AI. However, despite being unfamiliar with the technology's details, 68% of respondents indicated they thought AI would be at least somewhat common in the next 5 years, and 29% described AI as inevitable.

ARTIFICIAL intelligence is being used by NASA in a sensational bid find Planet X, an astronomer has claimed. By David Rivers / Published 17th December 2017. BOMBSHELL: It is claimed NASA is using AI to find Planet X.

Montréal International used the opportunity of the 31st Neural Information Processing Systems (NIPS) Conference, which had over 25,000 attendees this week in California, to launch a video promoting Greater Montréal as a world leader in AI, before all the international talent and investors at the conference. The video is titled Montréal, an Artificial Intelligence Powerhouse, and features several headliners in the industry, including Yoshua Bengio (Université de Montréal), Doina Precup (McGill University), Hugo Larochelle (Google Brain), Yann LeClun (Facebook), as well as the Prime Minister of Canada, Justin Trudeau. The video highlights all of Montréal's advantages and the deep collaboration between research chairs, laboratories and entrepreneurs. "Home to over 250 leading researchers and a one-of-a-kind collaborative ecosystem, Greater Montréal has become one of the world's most attractive AI hubs in less than two years," said Hubert Bolduc, President and CEO of Montréal International. "Last year, an impressive 20% of the investments we facilitated were in the AI sector, which continues to draw influential top players," added Mr. Bolduc.

An Australian man was taken into custody Saturday for allegedly acting as an economic agent for North Korea and attempting to sell missile parts, military intelligence and coal on the black market. The Australian Federal Police arrested Chan Han Choi, 59, in Sydney and charged him with brokering sales of weapons of mass destruction, according to the Australian Broadcasting Corporation. It is the first time a charge of this kind has been leveled against anyone in Australia. The sales would violate Australian and United Nations sanctions. "We believe this man participated in discussions about the sale of missile componentry from North Korea to other entities abroad as another attempt to try and raise revenue for the government in North Korea, again in breach of the sanctions," said Australian Federal Police Assistant Commissioner Neil Gaughan in a statement.