Liu Boming took in the dizzy view. Around him lay the inky vastness of space. Over the next seven hours Liu and his colleague Tang Hongbo carried out China's second spacewalk, helped along by a giant robotic arm. Mission accomplished, the two taikonauts – China's astronauts – clambered back into their home for the next three months: Beijing's new space station. The core module of the station, named Tiangong, meaning "heavenly palace", was launched in April.
The importance of artificial intelligence is known around the world and every nation is on its way to win the AI race as they realize that acquiring excellence in AI technology would make them the biggest superpower. Tesla king, Elon Musk has recently tweeted that "Competition for AI superiority at national level most likely cause of WW3". Recently India along with Australia, the United States, the United Kingdom, Canada, France, Germany, New Zealand, and others have come together to establish the Global Partnership on Artificial Intelligence (GPAI) for responsible evolution and use of AI. The PMs and presidents of the nations are supporting artificial intelligence in their speeches as well as their establishment of various policies regarding AI and it is demonstrated in the following. In 2020, Prime Minister Narendra Modi inaugurated a virtual summit on artificial intelligence called'RAISE 2020'.
The Israel Defense Forces' (IDF) operation against Hamas is called the world's first artificial intelligence (AI) war. Register for AWS ML Fridays and learn how to make a career in data science. "For the first time, artificial intelligence was a key component and power multiplier in fighting the enemy," an IDF Intelligence Corps senior officer said. He said this is a first-of-its-kind campaign for the IDF. In 2020, an Iranian nuclear scientist was killed using a satellite controlled weapon.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Israel shared three cell phone numbers used by Qasem Soleimani with U.S. intelligence in the hours before American drones unleashed Hellfire missiles on the Iranian general last year, Yahoo News reported Saturday. The revelation sheds new light on the role that Israel played in the killing of Soleimani, who the State Department says was responsible for hundreds of U.S. troop deaths as the head of the Revolutionary Guard's elite Quds Force. The drone strike occurred shortly after midnight on Jan. 2, 2020, as Soleimani and his entourage were leaving Baghdad's international airport.
Former Secretary of State Mike Pompeo, PayPal co-founder Peter Thiel and former National Security advisor Robert C. O'Brien weigh in on facing the Chinese Communist Party Paypal co-founder and Facebook board member Peter Thiel spared no punches in who he cites for helping China's rapid economic and military expansion. He says that U.S. technology companies bear some of the blame for helping fuel Beijing's global achievements. "There's something about the woke politics inside these companies, the way they think of themselves as not really American companies. And it's somehow very, very difficult for them to have a sharp anti-China edge whatsoever," he says. Theil named Facebook, Google, Amazon, Microsoft and Apple in his assessment that American corporate culture has turned a blind eye to the communist country's human rights abuses, trade infractions and threat at the expense of the U.S. "If China is able to just catch up, there is a way in which it will become a more powerful country," warned Thiel.
If you've ever wanted to know what it might be like to see Kim Jong-un let loose at karaoke, your wish has been granted, thanks to an app that lets users turn photographs of anyone – or anything remotely resembling a face – into uncanny AI-powered videos of them lip syncing famous songs. The app is called Wombo AI, and while the future of artificial intelligence and the ability to make fake videos of real people strikes fear into the hearts of many experts, some say that Wombo could help by raising awareness of "deepfakes". Wombo CEO Ben-Zion Benkhin said he came up with the idea "while smoking a joint with my roommate on the roof". The app launched in Canada in February and has since been downloaded on Apple's App store and Google Play more than 2m times. There are 15 songs users can choose from, including Michael Jackson's Thriller and the more recent Gunther's Ding Dong Song.
Zhang, Daniel, Mishra, Saurabh, Brynjolfsson, Erik, Etchemendy, John, Ganguli, Deep, Grosz, Barbara, Lyons, Terah, Manyika, James, Niebles, Juan Carlos, Sellitto, Michael, Shoham, Yoav, Clark, Jack, Perrault, Raymond
Welcome to the fourth edition of the AI Index Report. This year we significantly expanded the amount of data available in the report, worked with a broader set of external organizations to calibrate our data, and deepened our connections with the Stanford Institute for Human-Centered Artificial Intelligence (HAI). The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence. Its mission is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI. The report aims to be the most credible and authoritative source for data and insights about AI in the world.
The ghost of Edward Teller must have been doing the rounds between members of the National Commission on Artificial Intelligence. The father of the hydrogen bomb was never one too bothered by the ethical niggles that came with inventing murderous technology. It was not, for instance, "the scientist's job to determine whether a hydrogen bomb should be constructed, whether it should be used, or how it should be used." Responsibility, however exercised, rested with the American people and their elected officials. The application of AI in military systems has plagued the ethicist but excited certain leaders and inventors. Russian President Vladimir Putin has grandiloquently asserted that "it would be impossible to secure the future of our civilization" without a mastery of artificial intelligence, genetics, unmanned weapons systems and hypersonic weapons.
Two American B-52 bombers flew another show-of-force mission in the Persian Gulf on Wednesday, a week after President Trump warned Iran that he would hold it accountable "if one American is killed" in rocket attacks in Iraq that the administration and military officials blamed on Tehran. The warplanes' 36-hour round-trip mission from Minot Air Force Base in North Dakota was the third time in six weeks that Air Force bombers had conducted long-range flights about 60 miles off the Iranian coast, moves that military officials said were intended to deter Iran from attacking American troops in the region. The United States periodically conducts such quick demonstration missions to the Middle East and Asia to showcase American air power to allies and adversaries. But tensions have been rising in advance of the Jan. 3 anniversary of the American drone strike that killed Maj. Gen. Qassim Suleimani, the commander of Iran's elite Quds Force of the Islamic Revolutionary Guards Corps, and the Iraqi leader of an Iranian-backed militia -- deaths that Iranian leaders repeatedly insist they have not yet avenged.
We propose a Distributional Approach to address Controlled Text Generation from pre-trained Language Models (LMs). This view permits to define, in a single formal framework, "pointwise" and "distributional" constraints over the target LM -- to our knowledge, this is the first approach with such generality -- while minimizing KL divergence with the initial LM distribution. The optimal target distribution is then uniquely determined as an explicit EBM (Energy-Based Model) representation. From that optimal representation we then train the target controlled autoregressive LM through an adaptive distributional variant of Policy Gradient. We conduct a first set of experiments over pointwise constraints showing the advantages of our approach over a set of baselines, in terms of obtaining a controlled LM balancing constraint satisfaction with divergence from the initial LM (GPT-2). We then perform experiments over distributional constraints, a unique feature of our approach, demonstrating its potential as a remedy to the problem of Bias in Language Models. Through an ablation study we show the effectiveness of our adaptive technique for obtaining faster convergence.