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Aberdeen Bestiary's secrets revealed in 800-year-old book owned by Henry VIII
Aberdeen Bestiary's secrets revealed: 800-year-old book owned by Henry VIII was a learning tool seized during the dissolution of the monasteries New digitally enhanced photography of the book, known as the'Aberdeen Bestiary', has revealed previously unknown secrets behind the scripture A blank page in the Aberdeen Bestiary's twin manuscript, Ashmole 1511, this page is occupied by scenes concerning the lion shown left. This page shown left was probably intended for scenes about the lion, the researchers said. Experts have long debated whether the Bestiary, which is lavishly illustrated in gold leaf, was commissioned for a high-status client or seized during Henry's reign from a dissolved monastic library Professor Jane Geddes, an art historian at Aberdeen University, says marks and annotations that were not previously visible point to the book having been handpicked by Henry's scouts when they scoured monasteries for valuables Professor Geddes added: 'On many of the words there are tiny marks which would have provided a guide to the correct pronunciation when the book was being read aloud. The views expressed in the contents above are those of our users and do not necessarily reflect the views of MailOnline. By posting your comment you agree to our house rules.
The AP wants to use machine learning to automate turning print stories into broadcast ones
On average, when an AP sportswriter covers a game, she produces eight different versions of the same story. Aside from writing the main print story, they have to write story summaries, separate ledes for both teams, convert the story to broadcast format, and more. "It's a manual labor nightmare," Jim Kennedy, the AP's senior vice president for strategy and enterprise development, told me in his New York office. Collectively, AP journalists spend about 800 hours a week converting print stories to broadcast format. As a result, the AP is experimenting with machine learning in an attempt to automate some of those processes.
Why Artificial Intelligence Is Going to be the Worst Thing Ever
They're not driven by the unknown, but by the present. Let's look at the last epoch-changing technological development: the internet. The tech utopians of the late 20th century saw the incoming digital revolution as a liberating force, one that would dismantle the old power structures that oppress us and help humanity build a new, more perfect society. It's painfully clear now that their hypothesis was laughably naive. Who, exactly, has the internet liberated? Silicon Valley tech tycoons and advertisers aside, it has decimated the music, film and publishing industries, slashed the earnings of musicians, writers, photographers, and just about every other professional whose product can be digitized, shrinking their industries, killing off job openings, and maiming job security.
How combined human and computer intelligence will redefine jobs
The man versus machine dichotomy has been a staple of pop culture for decades. From 2001: A Space Odyssey to Blade Runner to Terminator to The Matrix and beyond, film makers have envisioned what the world would look like if artificial intelligence took over. However, a new mindset is taking shape -- the era of AI-human hybrid intelligence. This combination of a human brain and a computer intelligence is known as a centaur. The centaur model sparked the growth of freestyle chess, a context in which Garry Kasparov concluded that "weak human machine better process was superior to a strong computer alone and, more remarkable, superior to a strong human machine inferior process."
Sentiment Analysis of Movie Reviews (3): doc2vec
This is the last – for now – installment of my mini-series on sentiment analysis of the Stanford collection of IMDB reviews (originally published on recurrentnull.wordpress.com). So far, we've had a look at classical bag-of-words models and word vectors (word2vec). We saw that from the classifiers used, logistic regression performed best, be it in combination with bag-of-words or word2vec. We also saw that while the word2vec model did in fact model semantic dimensions, it was less successful for classification than bag-of-words, and we explained that by the averaging of word vectors we had to perform to obtain input features on review (not word) level. So the question now is: How would distributed representations perform if we did not have to throw away information by averaging word vectors?
An absolute beginner's guide to machine learning, deep learning, and AI
She paints and writes poetry. She's also an artificial intelligence from the movie Her, which imagines how a juiced-up Siri will change our lives. Now, tech companies large and small are racing to make this a reality. You've heard the jargon: AI, machine learning, deep learning, neural networks, natural language processing. What is artificial intelligence, or AI? AI, simply put, is an attempt to make computers as smart, or even smarter than human beings.
Machine-Vision Algorithm Learns to Judge People by Their Faces
Social psychologists have long known that humans make snap judgements about each other based on nothing more than the way we look and, in particular, our faces. We use these judgements to determine whether a new acquaintance is trustworthy or clever or dominant or sociable or humorous and so on. These decisions may or may not be right and are by no means objective, but they are consistent. Given the same face in the same conditions, people tend to judge it in the same way. And that raises an interesting possibility.
Notes from Reality: The Philosophy of AI Ethics. An Interview with Dr. David Bray. - Enterprise Irregulars
DB: Imagine what the next 5 years will bring: The term "mobile computing" will eventually become a dated term, replaced by "ubiquitous computing" as the internet will be everywhere. These changes include the transportation we take on land, in the air, and at sea; the clothes and devices we wear, sensors at work, at home, in our environment, and (if we chose) in us for medical purposes as well. DB: Also right behind and coupled with the Internet of Everything: 3D mass fabricators enabling individuals to affordably "print" and modify at the molecular level tangible substances based on digital designs. Maker Faires around the world already exist showcasing the early stages of what 3D fabricators can do in the hands of artists, engineers, and hobbyists. As Co-Chair of the IEEE Committee focused on Artificial Intelligence and Innovative Policies, I firmly believe exponential changes like the era we're in offer great opportunities for society -- as well as great challenges.
Conjure spells on your phone to prepare for 'Fantastic Beasts'
J.K. Rowling's prequel to the Harry Potter series is set to hit theaters next week and Google wants to help you prepare by turning your phone into a magic wand. On an Android device, you can cast "spells" with an "OK Google" voice command. After you alert your phone with the magic phrase, follow it up with a command like "lumos" and "nox" to turn the flashlight on and off. You can also use "silencio" to mute any sounds and notifications. Sure, it's rather simple, but it's a neat way for Potter fans to get ready for Fantastic Beasts and Where to Find Them ahead of next week's debut.
Robots and AI won't cost you your job anytime soon
MIT Technology Review's EmTech conference is all about looking to the future of tech and what's more futuristic than artificial intelligence? If you are up to date with the latest news on AI, or maybe you've just watched a few episodes of HBO's Westworld, you might be wondering how soon your job will be replaced by a robot. But if the presentation at MIT's EmTech conference this year is any indication, while artificial intelligence is at an impressive point, we're still far off from robot domination. To emphasize that point, Dileep George, co-founder of Vicarious, an organization working on next-generation AI algorithms, showed video of robots falling over in silly situations in his presentation, Artificial Intelligence at Work. The footage not only got some laughs, it also highlighted the vast limitations of current robotics.