A primary goal of the Magenta project is to demonstrate that machine learning can be used to enable and enhance the creative potential of all people. The demos and apps listed on this page illustrate the work of many people--both inside and outside of Google--to build fun toys, creative applications, research notebooks, and professional-grade tools that will benefit a wide range of users. This section includes hosted browser-based applications, many of which are implemented with TensorFlow.js for WebGL-accelerated inference. An interactive demo by Google Creative Lab based on MusicVAE using the MusicVAE.js You can use it to generate two dimensional palettes of drum beats and draw paths through the latent space to create evolving beats.

Artificial intelligence is a key part of everything Facebook does, from chat bots in Messenger to powering the personalized recommendations you get on apps like Instagram. But, as great as the technology is to create new and deeper experiences for users, Facebook says the most important role of AI is to keep its community safe. Today at F8, the company's Chief Technology Officer, Mike Schroepfer, highlighted how valuable the tech has become to combating abuse on its platform, including hate speech, bullying and terrorist content. Schroepfer pointed to stats Facebook revealed last month, which showed that its AI tools removed almost 2 million pieces of terrorist propaganda, with 99 percent of those being spotted before a human even reported them. Shroepfer said that, even though these are promising numbers, Facebook knows there's still plenty of work to be done and it needs to keep evolving the technology -- especially because the bad actors promoting this type of content keep getting smarter themselves.

In an earlier blog, we talked about how machine learning is used in social media analytics. In this post, we're going to review machine learning (ML) basics and examples, and explore some of the areas you might be unaware of where ML is having a significant impact. "Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data." The goal of ML is pretty simple -- teach computer systems to perform a task. The computer system gains experience by observing patterns from examples rather than being programmed with explicit instructions or rules.

We hear, read and use the term AI until we have some understanding of what it means. Yeah, I think this is part of the underlying problem: people using terms without actually knowing what they (are supposed to) mean. Perhaps one day people such as "tech journalists" will learn that "machine learning" and "artificial intelligence" are distinct concepts... but clearly that won't happen spontaneously (or, at least, it won't happen by "using the term AI until we have an understanding of what it means", as you suggest). Repeated incorrect use of a term doesn't magically make you understand what it means... it just makes people around you aware of how clueless you are regarding the subject at hand. Also, protip: humans are not neural networks.

The Honest Trailers franchise is getting the Honest Trailers treatment. It can be hard to be self-aware, so the Screen Junkies team left the script-writing for their new, meta video to a predictive text robot from Botnik Studios. Or as they put it, "some magical computer program that analyzed every single Honest Trailer script and generated this masterpiece poking fun at all of our tropes, styles, and themes." The result, narrated by Jon Bailey, is a disorienting and hilarious variation on the Honest Trailers formula. "Of course the real reason everyone is seeing this movie is the Yoda vs. Dennis the Menace fight sequence," explains the Epic Voice of what sounds like an equally epic crossover.

Dell Technologies announces new 14th generation Dell EMC PowerEdge four-socket servers and Dell Precision Optimizer 5.0 to further strengthen AI and ML capabilities. Forges alliance with Intel in AI and ML for Dell EMC Ready Solutions to enable customers harness the power of data. New AI and ML solutions and partnerships drive smarter, better business outcomes by turning data into intelligent insights in real time. According to the recently released update of the Enterprise Strategy Group (ESG) 2018 IT Transformation Maturity Curve Index, commissioned by Dell EMC, transformed companies are 18X more likely to make better and faster data-driven decisions than their competition. Additionally, transformed companies are 22X as likely to be ahead of the competition with new products and services to market.

When it comes to any kind of Artificial Intelligence device, swear words are usually off the menu. But one Reddit user has revealed a way to get Apple's Siri to say the F word. Taking to the r/Apple subreddit, user thatwasabaddecision wrote: 'Ask Siri to define the word "mother". When she asks you: "Do you wanna hear the next one?" F bomb: A Reddit user has taken to the r/Apple subreddit to reveal a way to get Apple's Siri to say the F word Mother's the word: Using the Oxford English dictionary, which offers several interpretations of the word'mother', Siri also includes the'vulger slang' word'motherf*cker' Redditor Hahahahahaimsofunny was the first to respond with the answer, and wrote: 'Motherf**ker!' Apple appears to have programmed Siri using the Oxford English dictionary, which offers several interpretations of the word'mother'.

CEO, Mounir Shita, flies to Los Angeles from Portland for the day to have lunch with ICO advisor, Dushan Spalevich TOKEN SALE IS NOW LIVE: https://kimera.ai/ Kimera Systems is an advanced artificial intelligence company that has developed the world's first Artificial General Intelligence. AGI is different from other artificial intelligence, because it can think and reason the way humans do. During Kimeras travel around the world, we will promote our Initial Coin Offering (ICO) to help bring this technology to the world. To learn more visit http://kimera.ai

But when I think of things here tagged'research', I think of something that is being published or about to be published at one of the better conferences. That it's an insightful paper, well vetted, and is having an impact on the field. This is much closer to a project than research. Don't get me wrong, for a Bsc, it's impressive, but's it's not really novel research.

Well, I work in this area now, and since this is upvoted a bit I'll give my thoughts. And I'll assume you're constraining the term "demand forecasting" to how its often used in business contexts....as well as your your recent posts on issues getting RNN/LSTM to work your time-series data. IMO the best tool for most product/service demand prediction tasks is domain knowledge for good feature engineering and for getting your data to be more stationary. Why? Product/service demand forecasting problems often start with only few explanatory variables as well as those variables not explaining the variance well (more precisely, low mutual information) relative to the number of actual factors going into the demand. Contrast this with areas getting more media such as deep reinforcement learning, where states and actions are fully representable/observed (e.g., AlphaGo).