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Artificial Intelligence will make marketing more creative and effective - Express Computer

#artificialintelligence

AI can free up a lot of the marketers' time, currently spent on mundane tasks, so that they focus on what they do best--be creative, think, ideate and innovate. All of us have heard about driverless cars, automated machines, bots and virtual assistants, even if we don't fully understand what these terms mean. All of these are manifestations of self-learning algorithms, smart technologies such as Artificial Intelligence (AI) and Machine Learning (ML). The application of these technologies is no longer just limited to sci-fi movies and erudite research papers. Directed by data-driven insights from these powerful technologies, traditional decision-making by experienced professionals is slowly being transformed.


Council Post: The Reality Behind The AI Illusion

#artificialintelligence

Though artificial intelligence has evolved recently and appears to be a new phenomenon in modern society, it is much older than you would imagine. Being actively involved in the global AI community, I've noticed that many people still associate AI with sci-fi Hollywood movies displaying the distant future powered by intelligent robots and machines. However, this perception is waning as AI becomes more commonplace in our daily lives. The early instances of intelligent machines were found in ancient Greek mythology with conceptions of mechanical robots made to help the Greek god Hephaestus. Following were some milestones in the history of AI, which started as a field of research in the late 1950s with the development of the first algorithms to solve complex mathematical problems.


Identifying Harmful Video Content With Movie Trailers And Machine Learning

#artificialintelligence

A research paper from the Swedish Media Council outlines a possible new approach to the automatic identification of'harmful content', by considering audio and video content separately, and using human-annotated data as a guiding index for material that may disturb viewers. Learning to Predict Harmfulness Ratings from Video, the paper illustrates the need for machine learning systems to take account of the entire context of a scene, and illustrates the many ways that innocuous content (such as humorous or satirical content) could be misinterpreted as harmful in a less sophisticated and multimodal approach to video analysis – not least because a film's musical soundtrack is often used in unexpected ways, either to unsettle or reassure the viewer, and as a counterpoint rather than a complement to the visual component. They also observe that to date, similar experiments have suffered from a sparsity of labels for full-length movies, which has led to prior work oversimplifying the contributing data, or keying in on only one aspect of the data, such as dominant colors or dialogue analysis. To address this, the researchers have compiled a video dataset of 4000 video clips, trailers cut down into chunks of around ten seconds in length, which were then labeled by professional film classifiers that oversee the application of ratings for new movies in Sweden, many with professional qualifications in child psychology. Under the Swedish system of film classification, 'harmful' content is defined based on its possible propensity to produce feelings of anxiety, fear, and other negative effects in children.


Meet Lucy, the first AI being to win Emmy - the AI gang

#artificialintelligence

Lucy, the virtual being AI from Fable Studio's Wolves in the Walls virtual reality experience, is getting around. Now she has busted the fourth wall and moved into the real, or virtual world, of the virtual Sundance Film Festival. This week, Lucy appeared as a guest at Sundance. She appeared in Zoom sessions with other attendees, and they were able to quiz her. As an artificial intelligence character, she responded with her own comments and views on watching expressionist movies at Sundance.


All the best early Prime Day deals so far: Amazon devices, air fryers, AirPods, and more

Mashable

BEST AMAZON DEVICE DEAL: Echo Show 5 -- $44.99 (save $35) BEST TV DEAL: Insignia 50-inch Fire TV smart 4K TV -- $299.99 (save $80) BEST APPLE DEAL: 2020 Apple iMac -- $1,499.99 (save $299.01) We're counting down the days until Amazon Prime Day (officially) starts on June 21, and in the meantime, there have already been some stellar deals to tide us over. We're of course seeing nice discounts on Amazon devices, but streaming channels, Apple products, and home appliances are already on sale as well. If you're itching to start shopping for your Prime Day haul, these are the best deals to shop early. The Echo Show 5 has been one of our favorites for a couple of years now.


'Starfield' Trailer Reportedly Offers Clue About 'The Elder Scrolls 6' Map

International Business Times

Bethesda is known for its deliberate way of hiding clues in plain sight. Because of this, "The Elder Scrolls 6" fans now speculate that the latest trailer of "Starfield" contains a hint about the map of the next "The Elder Scrolls" installment. Xbox and Bethesda launched a new "Starfield" trailer during the team's showcase at this year's E3. The two-minute trailer was packed with details, which was something the team intentionally did, Bethesda Executive Producer Todd Howard said. Interestingly, fans did not let the trailer go unexplored.


The cartoon gorilla that taught a generation to not click 'download'

Mashable

In the early 2000s, a purple, talking gorilla named BonziBuddy was billed as a free virtual assistant, ready for all your internet needs. It could talk, search for you, sing, send emails -- and anyone with a computer could download it for free. Turns out, that was the big problem. Bonzi wasn't your friend; it was malware, and it was released at the perfect time. Following the burst of the dot com bubble, investors pulled their money from the web and online companies needed a new way to profit.


How To Build and Deploy an NLP Model with FastAPI: Part 1

#artificialintelligence

Model deployment is one of the most important skills you should have if you're going to work with NLP models. Model deployment is the process of integrating your model into an existing production environment. The model will receive input and predict an output for decision-making for a specific use case. There are different ways you can deploy your NLP model into production, you can use Flask, Django, Bottle e.t.c .But in today's article, you will learn how to build and deploy your NLP model with FastAPI. In part 1, we will focus on building an NLP model that can classify movie reviews into different sentiments.


Google's Nest Audio smart speaker hits new low of $75

Engadget

At $100, Google's impressive Nest Audio was already good value for money, but a 25 percent discount has now brought it down to an even more affordable $75. Perhaps, it's a case of Google countering Amazon's early Prime Day deals on Echo speakers with a new all-time low price. Whatever the reasons behind the latest promo, it's always nice to have another option when shopping for tech. The Nest Audio is a solid bet for music fans on a budget. As we noticed in our tests, it's slightly louder than Apple's HomePod Mini and packs stronger bass, too. Inside the speaker is a 75mm woofer and 19mm tweeter, while the Google Home and Nest Mini make do with single drivers.


Resurrecting Dead Languages with AI, Machine Learning

#artificialintelligence

Listen to this episode from Tcast on Spotify. Here is your fun fact for the day – Napoleon actually broke the Rosetta Stone. Go figure. In a way, it’s a great metaphor. The Rosetta Stone has been an incredible tool for translating multiple languages in the centuries since its discovery, proving itself a valuable aid in helping put back the pieces of many languages that tend to get broken and lost over time. The value though is not merely in being able to translate ancient languages, it’s in all the history that comes with being able to read ancient texts for the first time. Suddenly a whole perspective on historical events opens up, or knowledge of things we could never have known about otherwise is unlocked. Putting an ancient language back together doesn’t just open up words, it opens up literal worlds. Now, the geniuses over at MIT have come up with another tool that we can use to unlock a few more. A new system has been developed by the Computer Science and Artificial Intelligence Laboratory (CSAIL) that can actually decipher lost languages. Best of all, it doesn’t need extensive knowledge of how it compares with already known languages to crack the code. The program can actually figure out on its own how different languages relate to one another.  So, how does that wizardry work? One of the chief insights that make CSAIL’s program possible is the recognition of certain patterns. One of these is that languages only develop in certain ways. Spellings can change in some ways, but not others due to how different certain letters sound. Based on this and other insights, it was possible to develop an algorithm that can pick out a variety of correlations.  Of course, such a thing has to be tested before it can be trusted. If you don’t test your language detector, you get bad languages. That’s probably how the whole “Aztecs said the end of the world would be in 2012” thing started. One intern with a bad translator program took it from, “And then I decided I could stop chiseling the years now. I’m a few centuries ahead,” to “the earth will stop completely rotating in 2012”. Fortunately, the researchers at MIT were a bit brighter than that. They took their program and tested it against several known languages, correctly pointing out the relationships between them and putting them in the proper language families. They are also looking to supplement their work with historical context to help determine the meaning of completely unfamiliar words, similar to what most people do when they come across a word they don’t know. They look at the entire sentence and try to figure out the meaning from the surrounding context.  Led by Professor Regina Barzilay, the CSAIL team has developed an incredibly useful tool to help us understand not just the events of times gone by, but the way people thought back then. By better understanding the languages of the past, we can learn why people did what they did. We could gain valuable insight into cultures long dead to us. That knowledge will in turn help us to better understand our past and how we got to where we are. It gets us more information, information straight from the source, or at least closer to it. If TARTLE likes anything in the world, it’s getting information straight from the source.  After all, that’s what we preach day in and day out around here. Getting our information from the source, minimizing false assumptions and bias when it comes to analyzing information. It’s great to see that same spirit at work in one of the world’s premier research centers and to see it being applied to our past.  What’s your data worth? www.tartle.co