Tristram Buckley says the benches in the Forbidden Journey ride gave him "shaken adult syndrome." It's safe to say Tristram Buckley wasn't swept up in the magic of the Wizarding World of Harry Potter. Buckley, a former visitor to the Universal Studios Hollywood location of the Potter-themed park, claims in a new lawsuit that one of the rides -- Harry Potter and the Forbidden Journey -- left him in pain after causing severe injury to his spine, TMZ reported Monday. According to the suit, Buckley took a seat on the ride's Enchanted Bench, which is suspended from a mechanical arm that moves along a track. The seats also pivot and sway to give riders the sensation of flying through the scenarios presented on a wrap-around screen.

Subscribe to receive updates on Industry 4.0 The Fourth Industrial Revolution is upon us. The first three were based, respectively, on mechanization, mass production, and computing/automation; Industry 4.0 is all about the marriage of physical and digital technologies. Just as with the previous revolutions, Industry 4.0 is disrupting and redefining industries. This time, however, the revolution is progressing with unprecedented speed, driven by smart, connected technologies that are developing at an exponential rate.1 These technology innovations--including cloud computing and platform technologies, big data and analytics, mobile solutions, social and collaborative systems, Internet of Things (IoT) technology, and artificial intelligence (AI)--are fueling and accelerating a new era of digital business transformation. They're reshaping how organizations work, innovate, and create products--and enabling completely new kinds of products and services.2 They're spurring businesses to invent new business models and reimagine how they deliver value to their customers and markets. More broadly, industry boundaries are expanding and blurring, and relationships with business partners are being redefined. Yet too many organizations remain unprepared for the new revolution. A recent Deloitte Industry 4.0 study of C-level executives around the world indicates that, across all industries, only 14 percent of CXOs are "highly confident" that their organizations are ready to harness the changes associated with the new era.3

I am trying to perform multiclass text classification (for 24 classes) on a set documents, but I have a very small dataset currently (1200 total examples). The data collection process is a bit tedious in my case, hence the small dataset size. The best result I have achieved till now is 58% accuracy with an SVM model and a single layer CNN model. Is there any other approach I can try other than collecting more data? I have tried oversampling the training set, but it didn't seem to improve the performance.

When Silicon Valley came back this season, viewers may not have known what to expect, but they certainly knew what not to expect. T.J. Miller's much-ballyhooed exit meant that the show would be without its most dependable (if incompetent) trickster. Since the HBO show's inception, Erlich Bachman had been the perfect agent of chaos: shortsighted, greedy, and insecure enough to constantly undercut the Pied Piper gang without being an actual antagonist. Couple his departure that with the show's increasingly how are they gonna get out of this--oh, they just did narrative curlicues, and even fans would have been forgiven for assuming the worst for Season 5. Is that how the newest batch turned out? The season, which wrapped up last night, felt as ripped-from-the-headlines as other years--this time cryptocurrency flameouts, Tesla, and Sophia the robot got the parody treatment--but it also added some new variables to the mix.

Already stars like Gal Gadot and Cara Delevingne are victims of nonconsensual face swapping. The Screen Actors Guild‐American Federation of Television and Radio Artists (SAG-AFTRA) recently made a bold statement against deepfakes, a technique that uses artificial intelligence to digitally impose an actors' likenesses into a film without permission. As reported by Deadline Hollywood, the president of SAG-AFTRA, Gabrielle Carteris, wrote in the union's monthly magazine that it has "undertaken an exhaustive review of our collective bargaining options and legislative options to combat any and all uses of digital re-creations, not limited to deepfakes, that defame our members and inhibit their ability to protect their images, voices and performances from misappropriation." Carteris is specific about these unauthorized uses, using examples of "in advertisements, products, merchandise, company branding, fake news, movies, video games, or pornography." The use of deepfake technology to create non consensual erotic content is considered particularly shameful.

Like it or not, artificial intelligence already plays a considerable role in your life. Maybe Facebook's algorithm pointed you toward this article. Maybe you just switched off a Netflix movie that magically popped up in your recommendations. Maybe you're hiding under your bed hoping that hyper-intelligent machines won't find you. OK, that last one is an exaggeration, but maybe not by as much as you'd think.

Does anyone know any paper that contains practical recommendations for the process of manual hyper parameter optimization? Such as which parameters to optimize first and which ones should be optimized in groups, etc. Thank you

Milo Medin, a Google vice president, turned the conversation to using artificial intelligence in war games.

I never should have started watching Westworld. Not because I didn't think it'd be good. An HBO show based on a Michael Crichton idea starring Evan Rachel Wood with all kinds of artificial intelligence? The problem wasn't that Westworld wouldn't be enjoyable, it was that it's the kind of show that invites obsession. The kind that presents Big Questions--that never get answered.

I wanted to get the community's take on the best frameworks and libraries out there that let you take a model from offline training to serving in production. What has everyone liked using and had success with?