AI researchers from the Ludwig Maximilian University (LMU) of Munich have developed a bite-sized text generator capable of besting OpenAI‘s state of the art GPT-3 using only a tiny fraction of its parameters. GPT-3 is a monster of an AI system capable of responding to almost any text prompt with unique, original responses that are often surprisingly cogent. It’s an example of what incredibly talented developers can do with cutting-edge algorithms and software when given unfettered access to supercomputers. But it’s not very efficient. At least not when compared to a new system developed by LMU researchers Timo Schick and… This story continues at The Next Web
Like someone who has never been kissed, AI began learning the basics by binge-watching romantic film clips to see how Hollywood stars lock lips.By training deep learning algorithms that have already proven adept at recognizing faces and objects to also recognize steamy kissing scenes dramatized by professional actors, a data scientist has shown how AI systems could gain greater insight into the most intimate human activities.Ziai handpicked a representative sample of 100 films from a database of Hollywood films spanning the past century.Then he manually labeled different film segments as either kissing or non-kissing scenes, and used still frames and sound clips from those segments to train deep learning algorithms to detect both the sights and sounds of smooching.But it’s not hard to imagine the possible commercial applications that could interest Netflix or other companies such as YouTube, Facebook, Instagram, and TikTok that handle huge amounts of streaming or stored video.Back in April 2019, Google announced that its Pixel smartphones had received a Photobooth feature update that allowed the phones to automatically snap photos whenever they detected kissing in a single frame taken by the smartphone camera.
People will share anything scandalous, duh – El Reg might well be Exhibit AAnalysis The US House of Reps' Intelligence Committee on Thursday held its first hearing into computer-fabricated videos dubbed deepfakes, quizzing experts from across worlds of AI, social policy, and law.In January, panic over deepfakes burst into public overnight when pervy Redditors started swapping online raunchy clips of porno flicks in which the faces of adult actresses were replaced with the faces of popular Hollywood stars, the alterations performed by AI algorithms.It's believed the pages were being used for espionage purposes, perhaps by spies building up a big Rolodex of targets.Reddit eventually shut down the /r/deepfakes forum on which the doctored vids were first shared, but the genie was now out of the bottle: source code, how-to guides, and applications sprung up allowing anyone with enough training data and time to produce their own so-called deepfakes.But no one was really laughing when a doctored video of House Speaker Nancy Pelosi (D-CA), in which she appeared and sounded drunk as she slurring her words during a speech, went viral on Facebook just recently.
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If you are a student who happens to struggle a lot with essay writing and in the matter of coming up with better essay writing skills, then the question “to pay or not to pay for essay”, has struck your mind at least for once in the recent past.Well, it’s a known fact that essay writing is one of the most crucial parts of every academic curriculum.So, let’s delve deep into the main context further and let’s see what comes up at the end of this article.Online essay writers can save your time during urgenciesThe math is simple, as part of an e-learning initiative, online academic help has emerged over the past few years.The concept of hiring online essay writer is nothing but a process where you pay for the project, and receive solutions in return via online modes of communication and mailing.In case of urgencies and especially during situations where there’s a time crunch, examination intricacies and pending set of assignments and the likes, seeking last-minute professional help from online essay corrector is likely to solve all challenges successfully.Do you know that in the year 2015, the estimated size of e-learning market was $165 Billion, and it is anticipated that about 50% of all classes will be delivered online by the next year?Now if we are to believe the stats, isn’t it likely that the world is going to be largely dependent on the contributions of e-learning in years to come?Jack Clark, a student from New Zealand on availing online essay help from a renowned academic writing service has appreciated all efforts put by the professionals, and came up with feedback that says: “Excellent service, absolutely brilliant customer support.
A team of AI researchers from India developed a tool to search for people in surveillance footage by height, clothing color, and gender.It’s like a search engine that can find people in a video.The scientists used deep learning (and Microsoft’s COCO dataset) to train a convolutional neural network (CNN) how to recognize certain human features, called soft biometrics, using computer vision.Basically, you can tell this AI some details about the person you’re looking for and it’ll scour whatever video you give it.According to researchers, the algorithm “correctly recovers 28 persons out of 41 in a very challenging dataset with soft biometric attributes.” Currently it only searches by height, torso (clothing) color, and gender.This experimental CNN would be perfectly suited for use cases where we need to put together a timeline surrounding a specific individual, based on available historic surveillance footage.
It’s put together by some of the best known and most reputable people in AI, like Jack Clark at OpenAI and Yoav Shoham, an AI professor at Stanford.The report counts a 14x increase in AI startups since 2000, and a 6x increase in VC funding to AI startups since 2000.For example, some computer vision today can identify skin cancer as well as a panel of doctors, but AI systems still have less common-sense reasoning than a 5-year-old.For AI coverage, send news tips to Blair Hanley Frank and Khari Johnson, and guest post submissions to Cosette Jarrett — and be sure to bookmark our AI Channel.Please enjoy this video: Ali Rahimi’s talk at NIPS (NIPS 2017 Test-of-time award presentation).Microsoft levels up Word, Excel, and Outlook with more AI capabilities
Email has many problems: spam, unsolicited messages, and phishing attacks make up just a few of them.However, one of the limited joys of the communication method is the boom in the popularity of newslettersThanks to services such as TinyLetter and MailChimp it's easy for anyone to write about their expertise, passions, or benign family updates and build-up a loyal base of readers.Here's our selection of some of the must-read newsletters from the worlds of science, technology, and politics.The email promises to give you the "what's up in emerging technology".The Download's webpage gives you a glimpse of what's included.
The advanced machine learning system, which goes by the faintly sinister name of Google Vizier, automatically tunes algorithms right across Google’s parent company Alphabet.Modern machine learning systems are the algorithmic equivalent of Formula 1 racing cars.In particular, the systems need carefully set 'hyperparameters': parameters set in advance that are adapted to the problem at hand.This isn’t easy, because machine learning systems are “black boxes”: even when you’ve made them, you can never be entirely sure how they get their results.One common method for tuning is known in the field as “grad student descent”: basically, you get a graduate student to twiddle the parameters until the algorithm works.Google Vizier cuts short this tedious manual task by automatically optimising hyperparameters of machine learning models.
Daily updates can get overwhelming if you’ve set yourself on a regular hunt on different websites in hope of gathering all the necessary information in one go.The Wild Week in AIDenny Britz is one of those passionate curators that know how to deliver the most valuable insights to the readers.Inside you’ll also find posts, articles and tutorials on the same topics.His newsletter issues contain separate parts that deal with code, projects and data.Jack Clark is the “world’s only neural net reporter.” He also curates a weekly newsletter about the latest developments in the field of AI.
Way back in the summer of 2013, former Reg man Jack Clark took one for the team by surviving on nothing but Soylent for seven nightmarish days and wrote up his experiences so that others wouldn't have to endure the same.It was enough to keep me firmly in the cynics camp, but three-and-a-half years later, here I am; not with Soylent, but with Blighty s own food-gloop, Huel.It s been a tricky couple of years up here in my little patch of the Highlands, with long-term health problems and a marked lack of energy frequently sticking a spanner in the works.When I first heard about Huel I felt the concept was repugnant at worst, but further research allayed my cynicism a little.The ingredients include oats, pea & rice proteins and flaxseed.My fear of uncontrollable, cacophonous farts has not yet come to bear any fruit, as it were.
How to join the networkMost artificial intelligence models are built and trained by humans, and therefore have the potential to learn, perpetuate and massively scale the human trainers biases.When an AI practitioner builds a data set on which to train his or her algorithm, it is likely that the data set will only represent one worldview: the practitioner s. The resulting AI model demonstrates a non-diverse intelligence at best, and a biased or even offensive one at worst.The articles focus on two related areas in which diversity and demographics matter when it comes to building AI: the data scientist, and the data scientist s choices for training data.Again, the theory is that though it s subconscious, the practitioner s selection of training data — say, images of peoples eyes or tweets in English — reflect the types of objects, experiences, etc.Many people many varying viewpoints
Tech journalist Jack Clark is leaving Bloomberg to head up the communications operation at Elon Musk's artificial intelligenceClark, who has been a reporter with Bloomberg since 2014 and covers Google, AI, and Amazon Web Services, announced on Tuesday that he will be joining OpenAI within the next few weeks.OpenAI is a non-profit artificial intelligence research company
Demis Hassabis, the CEO of Google-owned AI research lab DeepMind, thinks that "the world" should ultimately have control over super intelligent machines that can learn for themselves.Several technology giants are currently developing artificial intelligence AI behind closed doors as they look to find new ways to improve their products and services without giving away