We propose a multi-task deep-learning approach for estimating the check-worthiness of claims in political debates. Given a political debate, such as the 2016 US Presidential and Vice-Presidential ones, the task is to predict which statements in the debate should be prioritized for fact-checking. While different fact-checking organizations would naturally make different choices when analyzing the same debate, we show that it pays to learn from multiple sources simultaneously (PolitiFact, FactCheck, ABC, CNN, NPR, NYT, Chicago Tribune, The Guardian, and Washington Post) in a multi-task learning setup, even when a particular source is chosen as a target to imitate. Our evaluation shows state-of-the-art results on a standard dataset for the task of check-worthiness prediction.

Manchester City have been cautioned against the introduction of facial recognition technology, which a civil rights group says would risk "normalising a mass surveillance tool". The reigning Premier League champions are considering introducing technology allowing fans to get into the Etihad Stadium more quickly by showing their faces instead of tickets, according to the Sunday Times. If someone is recognised as having bought a ticket, they would be ushered in by a green light, and if not they would be halted with a yellow one. Hannah Couchman, the policy and campaigns officer at Liberty, said: "This is a disturbing move by Manchester City, subjecting football fans to an intrusive scan, much like taking a fingerprint, just so they can go to the Saturday game. "It's alarming that fans will be sharing deeply sensitive personal information with a private company that boasts about collecting and sharing data on each person that walks through the gate, and using this to deny people entry.

Last week, all of us who live in the UK, and all who visit us, discovered that our faces were being scanned secretly by private companies and have been for some time. We don't know what these companies are doing with our faces or how long they've been doing it because they refused to share this with the Financial Times, which reported on Monday that facial recognition technology is being used in King's Cross and may be deployed in Canary Wharf, two areas that cover more than 160 acres of London. We are just as ignorant about what has been happening to our faces when they're scanned by the property developers, shopping centres, museums, conference centres and casinos that have also been secretly using facial recognition technology on us, according to the civil liberties group Big Brother Watch. But we can take a good guess. They may be matching us against police watchlists, maintaining their own watchlists or sharing their watchlists with the police, other companies and other governments.

Their lifeless eyes peer from building facades, lampposts and streetlight poles. They never sleep, never even blink. And now, enabled by advances in computing power and artificial intelligence, surveillance cameras can do more than just watch. They can recognize, and they can remember. The district attorney for Pennsylvania's second-most-populous county has assembled a network of advanced surveillance cameras in and around Pittsburgh and has enlisted colleagues in four surrounding counties to extend its reach into their jurisdictions.

Deepfake material including fabricated evidence will become so realistic it will land innocent people in jail, an expert has warned.Shamir Allibhai, CEO of video verification company Amber, believes content including CCTV and voice recordings will be subject to gross manipulation. He spoke amid alarming concerns over deepfake technology raising eyebrows online, including a recent viral video of comedian Bill Hader morphing into actor Tom Cruise.And Shamir warns it is only a matter of time before the technology creeps its way into the global judicial system.He told Daily Star Online: "Initially, deepfakes will be manipulations of existing audio/video evidence, such as that from CCTV, voice recorders, police body cams, and bystanders' cell phones. "Humans have notoriously weak hearing as compared to our sight: I would bet that we get fooled by fake audio first. "It is also much easier to create believable fake audio than it is to create believable fake video. "In the future, video will be generated from scratch, with no basis in actual footage."What's

If you want to get into your doctor's bad books, turn up to your next appointment having preemptively diagnosed yourself via Google. If there's one thing that annoys healthcare professionals, it's patients thinking that computers can do their job as well as them. Some physicians even have signages in their waiting rooms stating that. Algorithms aren't going to replace our doctor any time soon. However, there's a lot of machine learning in healthcare that can help him diagnose you faster and more efficiently.

A deep dive into the numbers shows an early emphasis on basic research. The Defense Advanced Research Projects Agency's budget request includes $138 million for advanced land systems technology, up from $109 million in fiscal 2019. That program includes research into urban reconnaissance and AI-driven subterranean operations. DARPA's budget also includes $10 million for the Highly Networked Dissemination of Relevant Data Project, a situational awareness tool, as well as $161 million for the AI Human Machine Symbiosis Project, up from $97 million.

According to the European Commission (2018), artificial intelligence (AI) refers to systems that display intelligent behavior by analyzing their environment and taking actions – with some degree of autonomy – to achieve specific goals. In past decades, AI was a topic almost exclusively studied within academia. But the confluence and popularization of different factors, such as the rise of algorithms analysis, more powerful and distributed processing technologies, the Big Data phenomenon, and new disciplines such as data science, have been the "perfect storm" to bring AI to the real world. In this real world, AI-based systems and technologies that autonomously enable process optimization based on elements such as machine learning and deep learning have also started to be implemented and used by public organizations and governments. AI has started to be included in the political agenda, with public debate on the benefits and challenges related to the adoption of AI technologies.

The Cannon-Delivered Area Effects Munitions (C-DAEM) is a new 155-millimeter artillery round in development for the Army's M777 howitzer, M109A6 Paladin self-propelled howitzer and new XM1299 self-propelled howitzer. The high-tech shell will be able to guide itself toward its intended target, even in areas where GPS is jammed by enemy forces. The munition, which has a 43-mile range, will take more than a minute to reach its target, and can slow down and guide itself on the way. By doing so, it makes it easier for the Army to hit targets that move around, like vehicles and infantry - although it can't hit a moving target yet. Popular Mechanics notes that C-DAEM will replace the dual purpose improved conventional munition (DPICM), a type of cluster munition that made up for a lack of precision accuracy by scattering bomblets above the battlefield, ensuring it would at least do some damage to its target even if it didn't hit it directly.

China, writes Amy Webb in Inc., has been "building a global artificial intelligence empire, and seeding the tech ecosystem of the future." It has been particularly successful, Webb, the founder of the Future Today Institute, believes. "China is poised to become its undisputed global leader, and that will affect every business," she notes. Not everyone shares Webb's assessment that Chinese researchers are in the lead. America, after all, is home to most leading AI tech.