Black swans are the ultimate outliers. They have the ability to surprise and disrupt the status quo. I was recently in Shenzhen and was permitted access to Huawei's campus. I know I didn't see it all, but I saw enough to get me thinking. I had heard lots of stories, but reality was even more interesting. Seeing and talking to the people gave me new insights. I'd heard that in China, tech employees worked 10 hours straight a day. The offices, campus and the university (yes, a University where all employees study) are perhaps even more modern and inviting than many I've seen in the United States.

Robustness to adversarial perturbation has become an extremely important criterion for applications of machine learning in security-sensitive domains such as spam detection [25], fraud detection [6], criminal justice [3], malware detection [13], and financial markets [27]. Systematic methods for generating adversarial examples by small perturbations of original input data, also known as "attack," have been developed to operationalize this criterion and to drive the development of more robust learning systems [4, 26, 7]. Most of the work in this area has focused on differentiable models with continuous input spaces [26, 7, 14, 14]. In this setting, the proposed attack strategies add a gradient-based perturbation to the original input. It has been shown that such perturbations can result in a dramatic decrease in the predictive accuracy of the model. Thus this line of research has demonstrated the vulnerability of deep neural networks to adversarial examples in tasks like image classification and speech recognition. We focus instead on adversarial attacks on models with discrete input data, such as text data, where each feature of an input sample has a categorical domain. While gradient-based approaches are not directly applicable to this setting, variations of gradient-based approaches have been shown effective in differentiable models. For example, Li et al. [15] proposed to locate the top features with the largest gradient magnitude of their embedding, and Papernot et al. [20] proposed to modify randomly selected features of an input through perturbing each feature by signs of the gradient, and project them onto the closest vector in the embedding space.

Did voter fraud swing New Hampshire away from Donald Trump in the 2016 election? Absolutely not, according to an exhaustive investigation conducted by the state's attorney general and secretary of state, which, counter to Trump's persistent allegations, turned up no evidence of "serious voter fraud." Instead, the inquiry provided further evidence that the tools Republicans use to detect voter fraud are fatally flawed, churning out a huge number of false positives. And while the New Hampshire investigation ultimately debunked Trump's paranoia, it came perilously close to disenfranchising thousands of lawful voters. Republicans have seized upon New Hampshire as the putative epicenter of American voter fraud for two reasons.

Future Tense is a partnership of Slate, New America, and Arizona State University that examines emerging technologies, public policy, and society. Amazon's object and facial recognition software, which the company claims offers real-time detection across tens of millions of mugs, including "up to 100 faces in challenging crowded photos." After its launch in late 2016, Amazon Web Services started marketing the visual surveillance tool (which it dubbed "Rekognition") to law enforcement agencies around the country--including partnering directly with the police department in Orlando and a sheriff's department in Oregon. But now, as April Glaser reports, civil rights groups are pushing back. Last week, a coalition including the ACLU, Human Rights Watch, and the Council on American-Islamic Relations, sent an open letter expressing their "profound concerns" that governments could easily abuse the technology to target communities of color, undocumented immigrants, and political protestors.

Nationwide unemployment rates are low and technology can help employers find the best talent in a tight market--but HR can use artificial intelligence (AI) in a number of ways beyond hiring. AI and automation could radically change the workplace and human resource management, said Alden Parker, an attorney with Fisher Phillips in Sacramento. In the HR context, AI typically refers to data that is processed by algorithms to make decisions, he explained at the California State Council of the Society for Human Resource Management 2018 California State Legislative & HR Conference. "Machine learning can be used to constantly improve decision-making quality." For the HR function, AI is most commonly used for talent acquisition.

Today we use many services or products even without noticing that these are Artificial Intelligence (AI) generated, as for example, auto pilot system in airplanes, spam filters in emails, plagiarism checker softwares, etc. AI-driven world is becoming relevant because it can generate data and write news, paint pictures, assess marketing policy and what not. However, the question of ownership over a product generated by AI comes when it can produce something which falls within the definition of Intellectual Property (IP). Still AI has got no legal status irrespective of its "intelligence" feature under the IP law. In order to find out the scope of AI to claim IP law protection, the primary question is whether AI has intelligence to create something which could be addressed as "creation of mind". AI, as it is now, is not a single man's work. At least eight types of contributors have developed AI system.

The Hartford Courant reports that 21-year-old Austin Haughwout (HOW'-it), of Clinton, faces charges including assault on police officers, risk of injury to a child, enticing a minor, possession of child pornography and attempting fourth-degree sexual assault.

A UK government scheme is trying to clip the wings of drones across Britain. New legislation will see the introduction of a drone database, restrictions on drone size and an online test for prospective pilots. The new rules will also ban drones from flying above 400 feet (122 metres), and within one kilometre (0.6 miles) of airport boundaries. These restrictions come on the back of a recent surge in'near-misses' between aircraft and drones as the amount of incidents has gone from six events in 2014 to 93 last year. New legislation, passed by the House of Commons, will see the introduction of a drone database, restrictions on drone size and an online test for prospective pilots.

Apparently the lawsuit was filed months ago but only became public knowledge this weekend. I'm not sure what PUBG Corporation thinks they can achieve here. I'm not sure it's a very smart idea to sue the company whose engine you happen to be licensing for your own game. If this was the case, every tabletop RPG after Dungeons & Dragons would have been sued into oblivion. Every first-person shooter after Wolfenstein and DOOM would have been hit with a lawsuit. The game itself, which I enjoy and think is very fun, is just about as generic as any you'll ever see.

According to the Korean Times, a lawsuit has been filed by PUGB Corp, a subsidiary of the publisher Bluehole. It alleges that Fortnite bears many similarities to its own title, PlayerUnknown's Battlegrounds, which was launched several months earlier. PUBG claims an injunction was filed on Friday with the Seoul central district court against Epic Games Korea, the local office of Epic Games, a game publisher and developer based in Cary, North Carolina. Fortnite was originally released last July as a co-operative zombie-shooting game. However, after the success of PlayerUnknown's Battlegrounds, in which 100 players fight each other across a shrinking environment to be the last person standing, Epic Games released a new version of its game entitled Fortnite: Battle Royale, which features the same premise.