The world's smartest physicist claims that Aliens, Robots and Nuclear Wars are currently the 3 major threats to humanity and have the potential to destroy the world within 100 years. A super intelligent AI will be extremely good at accomplishing it's goals, and if those goals aren't aligned with ours, we're in trouble," said Hawking. He further explained that if machines become too clever, they'll develop the ability to engineer themselves and become far more smarter than us – their intelligence will exceed ours more than our exceeds that of snails. The conclusion is that if aliens and robots fail to outsmart us, we humans will let nuclear wars be the end of us!

The school's Computer Science and Artificial Intelligence Lab made one of its "neural networks" watch 600 hours of shows like "Desperate Housewives" and "The Office." The deep-learning program predicted the correct action more than 43% of the time when the video was paused one second before the real action. "We wanted to show that just by watching large amounts of video, computers can gain enough knowledge to consistently make predictions about their surroundings," said Carl Vondrick, a PhD student in computer science and artificial intelligence. Even though MIT's algorithms aren't accurate enough yet for real-world application, the study is another example of how technologists are trying to improve artificial intelligence.

As if the technology needed any more promotion, Twitter announced its acquisition of a London-based company that has developed machine-learning techniques for visual processing. According to reports, Twitter (NYSE: TWTR) paid about 150 million for AI startup Magic Pony Technology. "Our team has researched and developed state-of-the-art machine learning techniques for visual processing that can identify the features of imagery and use that information to process it in new ways," said Rob Bishop, Magic Pony CEO and co-founder. The startup's technology reportedly works by combining neural networks designed to learn with machine learning tools to expand the amount of data in an image.

Today, we're very excited to announce that we're expanding our capabilities in machine learning by acquiring Magic Pony Technology, a London-based technology company that has developed novel machine learning techniques for visual processing. Magic Pony's technology – based on research by the team to create algorithms that can understand the features of imagery – will be used to enhance our strength in live and video and opens up a whole lot of exciting creative possibilities for Twitter. The team includes 11 PhDs with expertise across computer vision, machine learning, high-performance computing, and computational neuroscience, who are alumni of some of the top labs in the world. We are continuing to build strength into our deep learning teams with world-class talent to help Twitter be the best place to see what's happening and why it matters, first.

There are countless internet quizzes that helps sort you into Hogwarts houses depending on your personality, but nothing comes quite close to this: an actual sorting hat powered by IBM Watson. The hat, created by IBM engineer Ryan Anderson, started off as a fun project for him and his two daughters to help expose the girls to STEM while bridging it with their interests in the Harry Potter series. His daughter helped by adding lines of established "ground truths" for each of the four houses, with Watson using deep learning to figure out more attributes and expanding known qualities of each house every time the hat is worn. With above 90 percent certainty, the hat sorted Hawking and Clinton into Ravenclaw for their wits.

A research team from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) recently developed artificial intelligence (AI) methods aimed at training computers to interpret pathology images, with the long-term goal of building AI-powered systems to make pathologic diagnoses more accurate. "Our AI method is based on deep learning, a machine-learning algorithm used for a range of applications including speech recognition and image recognition," explained pathologist Andrew Beck, MD, PhD, Director of Bioinformatics at the Cancer Research Institute at Beth Israel Deaconess Medical Center (BIDMC) and an Associate Professor at Harvard Medical School. In an objective evaluation in which researchers were given slides of lymph node cells and asked to determine whether or not they contained cancer, the team's automated diagnostic method proved accurate approximately 92 percent of the time, explained Khosla, adding, "This nearly matched the success rate of a human pathologist, whose results were 96 percent accurate." "But the truly exciting thing was when we combined the pathologist's analysis with our automated computational diagnostic method, the result improved to 99.5 percent accuracy," said Beck.

"By late spring, we plan to finalize Part 107, our small UAS rule, which will allow for routine commercial drone operations," Huerta said at an event in May, reiterating the proposed timeline. Pointing out that its drones require minimal human intervention, Amazon recommended that the rules "specifically permit the operation of multiple small UAS by a single UAS operator when demonstrated that this can be done safely." New safety rules in the Federal Aviation Administration Reauthorization Act of 2016, passed by the U.S. Senate in April, propose a pilot program to develop and test technologies to intercept or shut down drones when they are near airports. To avoid conflict between the variety of laws enacted by the states and federal regulations on drones, the bill has proposed that the FAA rules on drones get preemption over local and state laws.

To get started, let's examine 10 fascinating facts about the AI industry. These devices will likely include many connected appliances, cars, wearables, and other gadgets included in the broader Internet of Things market.

Google also informed that why it took initiative to have a research center in Europe because world's top technical universities reside in Europe. This isn't Google first research center in Europe either. Google Germany, the research center for artificial intelligence in a nonprofit and base home to 450 scientists, academics and other researchers who work mostly on language technology, embedded intelligence, augmented reality, knowledge management and multimedia analysis, and data mining. Google later invested Oxford Universities AI research team in the startup project.

If you're worried about Facebook artificial intelligence being able to recognize every part of your life or gaining sentience, that future is a long time away. While the company's deep-learning lab has made great strides in facial recognition, its natural language systems are very much in their infancy, according to Yann Lecun, Facebook's director of AI research, who is charged with the task of making the fruits of machine learning more humanlike.