If you've ever seen Finding Dory, the sweet and funny sequel to box-office hit Finding Nemo, you'll know what it means to'speak whale.' Without the help of a befuddled beluga whale called Bailey, the film's forgetful fishy heroine would never escape the fictional Marine Life Institute and "just keep swimming" to find her long-lost parents. Thanks to robotics and artificial intelligence (specifically natural language processing powered by machine learning), it might also be possible to understand whale lingo outside Disney-Pixar's imaginary kaleidoscopic multiverse. In probably the most significant interspecies communication project of all time, researchers recently set about the titanic task of translating the Morse code-like series of clicks (or codas) used by sperm whales to chat with one another. And the results of Project CETI will no doubt be far more interesting than human discussions around the price of fish -- or any other clever piscine reference you can think of.

Artificial Intelligence is already part of our lives in the tools and services we use every day. As AI development accelerates, how can authors and small businesses use it as leverage to expand income and opportunities? Ash Fontana gives some ideas in this interview on The AI-First Company.

Will the factories of the future be driven by artificial intelligence and … Predictive analytics and machine-learning-based modeling can address …

A.J. Bertone, partner at In-Q-Tel, said in a statement published Thursday Fiddler's platform works to ensure that AI and machine learning systems …

Artificial intelligence simulates human thought, using machines programmed to reason like humans and mimic their actions.

Successful businesses not only have great products and services; they also have a deep understanding of their customers. Companies that can use behavioral analytics in marketing automation platforms are better equipped to deliver real-time marketing efforts. According to a research case study from Deloitte, companies with a customer-centric business model are 60% more profitable. Knowing and adapting this differentiating business model is the key to becoming a market leader in today's fierce competitive landscape. With a 3.8 billion user base and 86% of the users interacting daily, social media has become an impactful customer voice through platforms like Twitter, Facebook, and Reddit.

Has anyone ever worked on a machine learning model for "queues"? Suppose there is a bakery: the bakery has has "n" people working, "m" people in line" and "q" orders that they are currently working on. The bakery is interested in making a machine learning model that predicts how long a customer will have to wait before the customer's order is ready and how long will the next customer have to wait before they can place an order. Has anyone ever come across a machine learning model which can predict waiting and processing times? I have seen examples online where people try fitting exponential distributions to historical waiting times and see how well they fit, as well as trying different m/m/k combinations... but has anyone ever come across an instance where machine learning algorithms (e.g.

TLDR: I run a site to debunk misconceptions of AI news, pls positive response, so hope bringing it up again now that we could use more help is fine. As I posted before, for more than 3 years I've been running this thing called Skynet Today (the name is meant to be ironic/news-y), with the mission of "Putting AI News In Perspective", or in other words debunk inaccurate portrayals of AI research in media and also put out articles that put things in perspective. As many people here are researchers and feel annoyed at hype/misconceptions about AI, I wonder if any of you might want to join our effort. We are basically a couple of grad students doing this in our spare time, and have not put out any new articles in a while due to being busy / not having much help (writing is a lot of work!). If interested, please consider taking a look at our contribution survey, or just message me.

Fox News Flash top entertainment and celebrity headlines are here. Check out what's clicking today in entertainment. Chrissy Teigen is giving her two cents on the recent claims that A-list stars Ben Affleck and Matthew Perry are pursuing young women on dating apps. Teigen, who is married to musician John Legend, appears to have caught wind of the celeb dating app stories making their way around the Internet this week. First, Affleck went viral after a woman named Nivine Jay shared a video she received of the actor after matching with him on Raya.

ElectrifAi, one of the world's leading companies in practical artificial intelligence (AI) and pre-built machine learning (ML) models, today announced that it has achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. This designation recognizes that ElectrifAi has demonstrated deep experience and expertise in building or integrating practical ML solutions on AWS. AWS Partners recognized as part of the AWS Machine Learning Competency expansion help customers take advantage of intelligent solutions to drive business optimization, customer revenue growth and cost reduction. This is done by creating, automating, and managing end-to-end ML workflows with machine intelligence. The AI and ML driven applications are maturing rapidly and creating new demands on enterprises.