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Artificial Intelligence Before Explosion – Here are Promising AI Projects - Intelvue

#artificialintelligence

Artificial Intelligence (AI) is not the one that is borne by the overwhelming science fiction vision. In the near future, we will see almost every area of life in order to make our activities more effective and interactive. According to China's search engine, Baidu's top researcher, "Reliability of speech technology approaches the point we will only use and do not even think about." Andrew Ng says the best technology is often invisible, and speech recognition will disappear in the background as well. Baidu is currently working on more accurate speech recognition and more efficient sentence analysis, which expects sound technologies to be able to interact with multiple devices such as household appliances.


GPT-3 101: a brief introduction

#artificialintelligence

Let's start with the basics. GPT-3 stands for Generative Pretrained Transformer version 3, and it is a sequence transduction model. Simply put, sequence transduction is a technique that transforms an input sequence to an output sequence. GPT-3 is a language model, which means that, using sequence transduction, it can predict the likelihood of an output sequence given an input sequence. This can be used, for instance to predict which word makes the most sense given a text sequence.


GPT-3 101: a brief introduction

#artificialintelligence

Let's start with the basics. GPT-3 stands for Generative Pretrained Transformer version 3, and it is a sequence transduction model. Simply put, sequence transduction is a technique that transforms an input sequence to an output sequence. GPT-3 is a language model, which means that, using sequence transduction, it can predict the likelihood of an output sequence given an input sequence. This can be used, for instance to predict which word makes the most sense given a text sequence.


This Russian Firm's Star Designer Is an AI--but No One Knew That for a Year

#artificialintelligence

Imagine discovering a new artist or designer--whether visual art, fashion, music, or even writing--and becoming a big fan of her work. You follow her on social media, eagerly anticipate new releases, and chat about her talent with your friends. It's not long before you want to know more about this creative, inspiring person, so you start doing some research. It's strange, but there doesn't seem to be any information about the artist's past online; you can't find out where she went to school or who her mentors were. After some more digging, you find out something totally unexpected: your beloved artist is actually not a person at all--she's an AI.


AI-written Scenario for Dungeons & Dragons Is Actually Quite Good

#artificialintelligence

I still remember walking past the tabletop game store in the mall when I was a kid. I used to think, "that looks really interesting, but everyone would think I'm a nerd if I started playing it." Admittedly, I am most definitely a nerd, and proud of it. But only recently have I begun diving into the world of tabletop games like Dungeons & Dragons (otherwise known as D&D). The poster (left), from one of the many Dungeons & Dragons-themed films of recent decades, gives some sense of the genre.


How education must adapt to artificial intelligence

#artificialintelligence

Welcome to AI book reviews, a series of posts that explore the latest literature on artificial intelligence. Advances in artificial intelligence in the early 2010s, particularly in deep learning, triggered a new wave of panic and fear about technological unemployment. Further intensifying those fears were a host of sensational articles about the magical capabilities of AI algorithms and ambiguous statements by company executives creating the impression that human-level AI is just around the corner. But the past few years have only highlighted the limits of current AI technologies. At the turn of the decade, as the world locked down to prevent the spread of the novel coronavirus, we got to see whether the promises of artificial intelligence and robots replacing humans would materialize.


Does the Human Touch + AI = The Future of Work?

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Artificial intelligence has long caused fear of job loss across many sectors as companies look for ways to cut costs, support workers and become more profitable. But new research suggests that even in STEM-based sectors like cybersecurity, AI simply can't replace some traits found only in humans, such as creativity, intuition and experience. There's no doubt, AI certainly has its place. And most business leaders agree that AI is important to the future success of their company. A recent survey found CEOs believe the benefits of AI include creating better efficiencies (62 percent), helping businesses remain competitive (62 percent), and allowing organizations to gain a better understanding of their customers, according to Ernst and Young.


Retaining Our Exceptionalism in the Age of AI

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Machines are unlikely to surpass human creativity. But we'll have some consolation if they do. As humans, we have always tended to think of ourselves as exceptional. Our ability to reason deeply, our capacity to send and receive vast quantities of information through speech, and especially our potential for self-awareness have all rightly given us a sense of superiority over other creatures. But the rise of Artificial Intelligence (AI) has somewhat changed these calculations, as machines have surpassed humans in many tasks (e.g., in chess). The significance of the AI revolution could be staggering: Might not the importance of our affairs, so predicated on our exceptionalism as a species, diminish if we don't even retain our place as the finest exemplars of thought and reason?


What are the limits of AI's creativity? And what does blockchain have to do with that? - The Data Scientist

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Generative adversarial networks are a type of deep neural network where two networks are playing a game against each other. One network, called the generator, generates artificial objects (e.g. The other network (called the discriminator) tries to figure out whether the image is a fake or not. This constant game ends up training a generator that can generate realistic images. So, the question as to what are the limits of AI's creativity might have sounded a bit like an oxymoron a few years ago.


Facebook's new choreography AI is a dancing queen

Engadget

Everybody dances, every culture throughout history has danced. But our days of monopolizing the move busting market could soon be coming to an end, as Facebook AI has become the latest team to teach an AI to bop along to the beat. "In this work, we focus on designing interesting choreographies by combining the best of what humans are naturally good at – heuristics of'good' dance that an audience might find appealing – and what machines are good at – optimizing well-defined objective functions," the team wrote in a study published Tuesday. This isn't the first time we've tried to teach AIs to dance. In 2016, Swedish Choreographer Louise Crnkovic-Friis and her husband, Peltarion CEO Luka Crnkovic-Friis, trained a recurrent neural network, dubbed Chor-rnn, on 48 hours of Louise's movements.