Looking at how social values are represented in fairy tales can give insights about the variations in communication of values across cultures. We study how values are communicated in fairy tales from Portugal, Italy and Germany using a technique called word embedding with a compass to quantify vocabulary differences and commonalities. We study how these three national traditions differ in their explicit references to values. To do this, we specify a list of value-charged tokens, consider their word stems and analyse the distance between these in a bespoke pre-trained Word2Vec model. We triangulate and critically discuss the validity of the resulting hypotheses emerging from this quantitative model. Our claim is that this is a reusable and reproducible method for the study of the values explicitly referenced in historical corpora. Finally, our preliminary findings hint at a shared cultural understanding and the expression of values such as Benevolence, Conformity, and Universalism across the studied cultures, suggesting the potential existence of a pan-European cultural memory.

Artificial intelligence (AI) and art are less diametrically opposed than you might think. Already, in fact, autonomous systems are working in lockstep with artists to generate holiday songs, canvases auctioned at Christie's, and craft colorful logos. And now, a software developer has harnessed AI's generative powers to manipulate contrast, color, and other attributes in images. Holly Grimm, a graduate of OpenAI's Scholar program, describes her work in a preprint paper published on Arxiv.org The foundation of Grimm's AI model is a generative adversarial network (GAN), a two-part neural net consisting of a data-producing generator and a discriminator -- the latter of which attempts to distinguish between the generator's synthetic samples and real-world samples.

The first panel of the symposium began at 11:05 a.m. and reached a broad range of topics during the discussion entitled "The good, the bad, and the ugly of AI and robotics." The speakers of the panel included Jason Millar, assistant professor in the School of Electrical Engineering and Computer Science, Cindy Grimm, associate professor of mechanical engineering, Geoffrey Hollinger, assistant professor in the Collaborative Robotics and Intelligent Systems Institute at OSU and Stephanie Jenkins, assistant professor in the School of History, Philosophy and Religion at OSU. The panel then allowed each speaker to give a brief opinion of what the greatest risk and the greatest benefit of the widespread adoption of AI and robotics are. Grimm began by explaining that a large benefit of AI will be its ability to complete simple tasks, allowing people more time to tackle larger issues. Grimm went on to explain that the flip side of this is as AI becomes more common in daily, simple tasks, the public may become too trusting of these systems and allow them to make decisions that may be beyond their capability.

The first panel of the symposium began at 11:05 a.m. and reached a broad range of topics during the discussion entitled "The good, the bad, and the ugly of AI and robotics." The speakers of the panel included Jason Millar, assistant professor in the School of Electrical Engineering and Computer Science, Cindy Grimm, associate professor of mechanical engineering, Geoffrey Hollinger, assistant professor in the Collaborative Robotics and Intelligent Systems Institute at OSU and Stephanie Jenkins, assistant professor in the School of History, Philosophy and Religion at OSU. The panel then allowed each speaker to give a brief opinion of what the greatest risk and the greatest benefit of the widespread adoption of AI and robotics are. Grimm began by explaining that a large benefit of AI will be its ability to complete simple tasks, allowing people more time to tackle larger issues. Grimm went on to explain that the flip side of this is as AI becomes more common in daily, simple tasks, the public may become too trusting of these systems and allow them to make decisions that may be beyond their capability.

The Brothers Grimm have been dead more than 150 years, but they recently released a new story with a little help from artificial intelligence. The Princess and the Fox was created after a group of writers, artists and developers used a programme inspired by predictive text on phones to scan the collected stories of the Brothers Grimm to suggest words and similar phrases. Human writers then took over, to help shape the AI's algorithmic suggestions into the latest Grimm fairytale. The new tale tells the story of a talking fox who helps a lowly miller's son rescue a beautiful princess from the fate of having to marry a horrible prince she does not love. But here's the thing, the Brothers Grimm didn't actually write their fairytales in the first place.

Anything is on the table when artificial intelligence is used to craft a Grimm's bedtime story. Botnik Studios has teamed up with meditative app Calm to create a new Grimms-style fairy tale to add to its collection of audio bedtime stories. According to a press release, The Princess and the Fox was made using Botnik's predictive text program, with some actual humans smoothing out the edges and filling in the gaps to make it a cohesive story. You have to pay for the service to hear the whole story, but Calm did release a small snippet, which I've transcribed below: Once upon a time, there was a golden horse with a golden saddle and a beautiful purple flower in its hair. The horse would carry the flower to the village where the princess danced for joy at the thought of looking so beautiful and good.

Oi, AI – what do you think you're looking at? Understanding why machine learning algorithms can be tricked into seeing things that aren't there is becoming more important with the advent of things like driverless cars. Now we can glimpse inside the mind of a machine thanks to a test that reveals which parts of an image an AI is looking at. Artificial intelligences don't make decisions in the same way that humans do. Even the best image recognition algorithms can be tricked into seeing a robin or cheetah in images that are just white noise, for example.

The Robotics Program at Oregon State University has beenrunning an NSF-funded summer Research Experiences forUndergraduates (REU) site since 2014. Over twenty studentsper year (on average) have participated in the site, spendingten weeks embedded in the OSU Robotics Program. Our mainfocus with this REU Site is to give the participants a com-plete research experience, from problem definition to the fi-nal presentation of results, "in miniature". Our secondary ed-ucational objectives are: 1) Teach basic non-technical skillsneeded for graduate work, such as time management and lit-erature review, 2) Provide details on how to apply to gradu-ate school and for funding, 3) Clarify what we look for in agraduate student, and 4) Detail what to expect from the grad-uate student experience. In this paper, we describe the over-all structure of the participants’ summer experience, outlinesome of the training materials that we use, describe the moti-vations for our approach, and discuss the lessons that we havelearned after running the program for a number of years.

Now that it has been confirmed that "Grimm" will end after its sixth season, it seems like the show is determined to deliver its best season yet. One way they are going to do so is by introducing Frankenstein, a fictional character created by Mary Shelley. Victor Frankenstein is a young scientist who created a monstrous creature using his unorthodox approach to science. The scoop about Frankenstein was dished out by TV Line founder Michael Ausiello. Will Frankenstein be battling Nick Burkhardt (David Giuntoli)?