Contemporary machine learning algorithms are well-suited to the complex, high-dimensional data associated with accounting records. In this short note we apply a simple unsupervised algorithm to find anomalous companies -- those with accounting metrics that don't match the statistical patterns implied by the bulk of the companies. To do this we leverage the SEC structured financial statements data set, a regularly updated collection of the machine-readable numeric core of the financial disclosures regularly filed to the SEC through its EDGAR system. We use the reported company assets as a normalizing factor; while size is of course a variable of interest, we are looking for less obvious, scale-independent patterns and anomalies. Note that axis and values in the graph above are in many ways arbitrary; it's simply a reasonable effort at representing in three dimensions the relative distances between points in the six-dimensional data space for the company fillings.

We are well and truly in the grips of the battle royale era at this point, with rumors this week pegging a PUBG-style mode coming to both Call of Duty and Battlefield in the fall. At this point the question's not whether we see a new battle royale game at E3, it's how many we see. This is gaming news for April 16 to 20. Humble's habitually giving away games nearly every weekend it seems, and the trend continues this week with Satellite Reign. A blend of real-time tactics game and open-world adventure, it was intended as a successor to Syndicate--the original isometric one from the '90s, not the 2012 reboot.

Politicians worldwide are stealing one of the US government's best ideas by drawing up ambitious plans to make the most of advances in artificial intelligence.

In 1968, America and the former Soviet Union were locked in a space race to land a man on the moon. It was during this time of Cold War tension and rivalry that 2001: A Space Odyssey come out on cinema screens and dazzled filmgoers. Al Jazeera's Rosiland Jordan went to the Smithsonian Museum in Washington to see an exhibition that honours the movie.

In today's world, business is both driven and disrupted by software. From startups to government organizations to publicly traded companies, software is developed at a record-setting pace to run almost everything. This continuous evolution of technology has drastically changed how enterprises operate today. As the race heats up among companies looking to be first-to-market with the next best product or service, considerations about the implications these systems and gadgets may have on society often are overlooked. For example, technologies developed by companies such as YouTube and Volkswagen certainly have, and continue to have, a profound impact on society.

And because of this fact, we're screwed. Due to advances in artificial intelligence, it's now possible to convincingly map anyone's face onto the body of another person in a video. As Vox's Aja Romano has explained, this technique is becoming more common in pornography: An actress's head can be mapped onto a porn actress's body. These "deepfakes" can be generated with free software, and they're different from the photoshopping of the past. This is live action -- and uncannily real. On Tuesday, BuzzFeed published a demonstration featuring the actor and director Jordan Peele.

Recent research from Britain confirms what many people in enterprises already know, artificial intelligence (AI) is going to profoundly change the workplace. However, unlike previous research, the findings contained in the AI in the UK: Ready, willing and able? This workplace will be one where AI enhances and creates many new jobs, but also one where retraining is not just an occasional event, but something that is ongoing and continuous as AI changes the way we work. The report has a very specific focus through. It outlines what the authors believe are the opportunities for the United Kingdom in an AI-driven world and what the UK government needs to do to turn the workplace change to the advantage of its citizens.

In an open letter to the UN Convention on Certain Conventional Weapons, the signatories said that once developed, killer robots - weapons designed to operate autonomously on the battlefield - "will permit armed conflict to be fought at a scale greater than ever, and at timescales faster than humans can comprehend."

It would be foolish to assume that attackers and intruders would forgo such an effective tool as AI to make their exploits better and their attacks more intelligent. It's especially true now when it's so easy to use so many machine learning technologies out of the box, leveraging open-source frameworks like TensorFlow, Torch or Caffe. Not being an attacker, I can still speculate what these AI-generated exploits might look like, when we can expect them to materialize and how we can protect us from these threats.

The ever-evolving technological landscape we all now live in throws up both benefits and challenges for those tasked with defending our most important utilities, networks and systems, and 2018 could well be the year we see previously theoretical attacks involving artificial intelligence (AI) or automation technologies realized. Aside from new technologies, there are several other challenges facing the protection of infrastructure throughout 2018 and, in this article, we've created our list of five of the most prominent challenges facing critical infrastructure protection in 2018. As our means of protection evolve, so do the ways in which they could be vulnerable or used against us. Remote access methods have shown this previously and artificial intelligence and automation may be about to do it again. In the case of AI, cybersecurity is a big deal.