Not enough data to create a plot.
Try a different view from the menu above.
Specifically, Huerta and his then graduate student Daniel George pioneered the use of so-called convolutional neural networks (CNNs), which are a type of deep-learning algorithm, to detect and decipher gravitational-wave signals in real time. Roughly speaking, training or teaching a deep-learning system involves feeding it data that are already categorized--say, images of galaxies obscured by lots of noise--and getting the network to identify the patterns in the data correctly. After their initial success with CNNs, Huerta and George, along with Huerta's graduate student Hongyu Shen, scaled up this effort, designing deep-learning algorithms that were trained on supercomputers using millions of simulated signatures of gravitational waves mixed in with noise derived from previous observing runs of Advanced LIGO--an upgrade to LIGO completed in 2015. For instance, Adam Rebei, a high school student in Huerta's group, showed in a recent study that deep learning can identify the complex gravitational-wave signals produced by the merger of black holes in eccentric orbits--something LIGO's traditional algorithms cannot do in real time. In a preprint paper last September, Nicholas Choma of New York University and his colleagues reported the development of a special type of deep-learning algorithm called a graph neural network, whose connections and architecture take advantage of the spatial geometry of the sensors in the ice and the fact that only a few sensors see the light from any given muon track.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. In the coming weeks, students around the nation will hear their names read aloud, walk across a platform and move their tassels to signify graduation from high school or college. After years of working toward receiving their diploma or degree, they are now off to start a new adventure in their lives. And, for others, there may be the apprehension of not knowing what is next. As a college president, here are five pieces of advice I have for graduating seniors.
There is mounting public concern over the influence that AI based systems has in our society. Coalitions in all sectors are acting worldwide to resist hamful applications of AI. From indigenous people addressing the lack of reliable data, to smart city stakeholders, to students protesting the academic relationships with sex trafficker and MIT donor Jeffery Epstein, the questionable ethics and values of those heavily investing in and profiting from AI are under global scrutiny. There are biased, wrongful, and disturbing assumptions embedded in AI algorithms that could get locked in without intervention. Our best human judgment is needed to contain AI's harmful impact. Perhaps one of the greatest contributions of AI will be to make us ultimately understand how important human wisdom truly is in life on earth.
Among the various companies, non-profits and researchers using tech company Google's TensorFlow platform, one application that has caught the attention of developers at the internet giant is PlantMD. Created by high school students Shaza Mehdi and Nile Ravenell, the app can detect diseases in plants. The duo, who showcased the app at Google's I/O annual developer conference this year, built it based on the Internet company's open-source machine learning library for data programming--TensorFlow. "PlantMD's machine learning model was inspired by a dataset from PlantVillage, a research and development unit at Penn State University. PlantVillage created an app called Nuru, Swahili for'light', to assist farmers to grow better cassava, a crop in Africa that provides food for over half a billion people daily," Fred Alcober, a member of Google's TensorFlow team, wrote in a blog post. Cassava plants, wrote Alcober, though very tolerant of harsh weather conditions, is susceptible to pests and diseases.
A disgruntled Minecraft gamer is believed to be behind a bomb hoax email sent to more than 400 schools and colleges. Some students were evacuated from school and college buildings across the country on Monday after an email threatening to detonate a bomb if they refused to hand over cash was sent out. The email appeared to come from gaming network VeltPvP – a server which allows users to compete in the game Minecraft – but the US company said that the account had been "spoofed". Carson Kallen, the US firm's 17-year-old CEO, told the BBC he suspected the hoax emails had been sent by a disgruntled Minecraft player in a bid to damage VeltPvP's reputation. He said: "Everyone who plays it is between the ages of eight and 18 years old - it's all kids playing.
Before Kanye West gets to the White House, first, we'll have to survive the robot apocalypse brought about by his A.I.-powered doppelgänger. It's a very real piece of software created by a high school student from West Virginia. You can use Alexa in Amazon's app now, and it's really smart Robbie Barrat, a 17-year-old hip-hop fan and coding whiz, taught himself to code using open source software, according to a report from Quartz. Initially, the software simply rearranged 6,000 Kanye rap phrases to create new songs, but now the software has been modified to create original rap lines using the Kanye word bank. On the YouTube Page demonstrating the software's ability, Barrat says, "Excluding the beat; this song was written 100 percent by a deep neural network."