For conversational AI and virtual assistants to communicate with humans in a realistic way, they must exhibit human characteristics such as expression of emotion and personality. Current attempts toward constructing human-like dialogue agents have presented significant difficulties. We propose Human Level Attributes (HLAs) based on tropes as the basis of a method for learning dialogue agents that can imitate the personalities of fictional characters. Tropes are characteristics of fictional personalities that are observed recurrently and determined by viewers' impressions. By combining detailed HLA data with dialogue data for specific characters, we present a dataset that models character profiles and gives dialogue agents the ability to learn characters' language styles through their HLAs. We then introduce a three-component system, ALOHA (which stands for Artificial Learning On Human Attributes), that combines character space mapping, character community detection, and language style retrieval to build a character (or personality) specific language model. Our preliminary experiments demonstrate that ALOHA, combined with our proposed dataset, can outperform baseline models at identifying correct dialogue responses of any chosen target character, and is stable regardless of the character's identity, genre of the show, and context of the dialogue.

Researchers at the University of Washington have devised a new app for smart speakers like Amazon's Echo to help parents monitor their baby's breathing. Called BreathJunior, the experimental app will be able to measure the rate of a baby's breathing and detect symptoms of sleep apnea. The team initially conducted a test of the device with five babies in the neonatal intensive care unit at a hospital in Washington. BreathJunior (pictured above) is an experimental app that monitors a baby's breathing using a smart speaker According to a report from MIT Tech Review, the team plans to eventually release the app as a commercial product via the company Sound Life Sciences. But first, they'll present the results of the trial at the upcoming MobiCom, a yearly conference on mobile computing in Los Cabos, Mexico.

Artificial intelligence (AI) is already a huge player in host of industries. In the past few decades, it has transformed from the subject of science fiction into a real phenomenon that affects our daily lives. AI's purpose is to make the lives of human beings easier, by performing tasks efficiently at speeds that would be extremely hard, if not impossible, for humans to emulate. Some types of AI are extremely user-oriented, while others are more geared toward for use within computer systems and programs, for applications involving assets like big data. On the user-friendly side of the spectrum, you will find devices like Amazon's Alexa or Apple's Siri, the digital assistants.

Oscar-nominated actor Samuel L. Jackson is lending his iconic voice to Amazon's Alexa – profanities and all. During Amazon's event to unveil new products and services Wednesday, the online shopping giant announced that Jackson will be the first celebrity voice for its Alexa virtual assistant and was created using neural text-to-speech technology. There will be both an explicit version and a clean version when the feature launches later this year. The Alexa "skill" will cost 99 cents as an introductory offer. After the introductory period, the price will be $4.99, according to the product page.

For each manga, I got his picture's URL in the poster's column. I will use the gender columns as a label for my image classifier. But I need to do a little cleaning before because I had 3000 unique labels, I will clean my labels and reduce them. I now have 18 labels and I OneHotEncoded them to have a binary matrix of each label. I have another problem: my label is not balanced, so we will define a class weight that I will pass in my model later.

If you want your digital marketing strategy to be active and efficient, it is high time that you embark on a new paradigm driven by Artificial Intelligence (AI). In the future, AI is going to play a vital role in digital marketing and advertising. If you are to stay ahead in the competition, you need to take the AI route for better customer experience, relevant content, and personalized approach in your digital marketing strategy. As we all know, artificial intelligence is about machines and their ability to learn, apply, and solve problems. Artificial intelligence in digital marketing has affected the approach to advertising through innovation and the correct application of the collected and analyzed data. It is dramatically reshaping and redefining the market experience.

In the past five years, Machine Learning has come a long way. You might have noticed that Siri, Alexa, and Google Assistant are way better than they used to be, or that automatic translation on websites, while still fairly spotty, is hugely improved from where it was a few years ago. But many still don't quite grasp how far we've come, and how fast. Recently, two images made the rounds that underscore the huge advances machine learning has made -- and show why we're in for a new age of mischief and online fakery. The first was put together by Ian Goodfellow, the director of machine learning at Apple's Special Projects Group and a leader in the field.

Machine learning as a service (MLaaS) refers to a number of services that offer machine learning tools as a part of cloud computing services. The main benefit of this solution is that customers can get started with machine learning applications quickly without installing specific software or provisioning their own servers. All the actual computations are handled by the provider's own data centers. MLaaS providers offer services for data transformation, predictive analytics, data visualization, and advanced machine learning algorithms. Currently, the major MLaaS platforms suggest ready-made solutions for the majority of popular machine learning applications, including recommender systems, forecasting, image and video analysis, advanced text analytics, machine translation, automated transcription, speech generation, and conversational agents.

At more than 40 years old, email marketing is still the marketing channel with the highest ROI--especially when it's personalized. Among the many emails that enter inboxes each day, it's no surprise that triggered messages, sent in response to specific consumer behaviors, account for 77% of email ROI, according to the Data & Marketing Association. Every year, personalized marketing automation technology provider Sailthru analyzes 250 retailers' shopping experiences and ranks them based on personalization prowess. The 2019 Retail Personalization Index shows that the retailers with the best email personalization are generally those with strong lifecycle-centric email marketing programs. Welcome emails have a significantly higher open rate than other marketing messages, and the brands that performed best in the Retail Personalization Index know how to capitalize on them.

Nowadays, consumers have a variety of options for obtaining services and getting the help they need. They can use webchat, email, the Internet, and face-to-face contact, yet telephone customer service is still the first choice for most customers when they have questions or a problem that needs to be resolved. In order to ensure your customers are happy with the customer service they receive, it's even more important for you to provide exceptional customer service, including outstanding telephone service. Consumers expect better service than ever before, and the capabilities of modern telephone communications allow you to offer them the satisfaction and resolution they demand. IVR (Interactive Voice Response) can be a great tool for your company in decreasing customer wait time and increasing customer satisfaction, but customers are sometimes not overly fond of automatic response systems -- especially when they have bad experiences.