The solution uses artificial intelligence technology to help financial institutions increase the accuracy of real-time approvals of genuine transactions and reduce false declines. This is the first use of AI being implemented on a global scale directly on the Mastercard network. Current decision-scoring products are focused primarily on risk assessment, working within predefined rules. Decision Intelligence is a radical new approach that goes much further. It takes a broader view in assessing, scoring and learning from each transaction.

Thanks to the relentless work of dedicated engineers, artificial intelligence, or AI, becomes smarter by the day. But while computers become better at replicating human tasks, reading comprehension, an area where machines have yet to catch up, is declining among young people, suggesting a chilling future in which AI may put people out of work. That is why Noriko Arai, a mathematician at the National Institute of Informatics, decided in November to change the direction of her project from teaching an AI to pass the entrance exam for Japan's most prestigious school -- the University of Tokyo, better known as Todai -- to focusing on improving the reading comprehension of future generations using AI technology. "AI engineers have always said that humans don't have to worry because only menial jobs will be taken over by machines. But what about the people who do such jobs?"

In an evaluation of retinal photographs from adults with diabetes, an algorithm based on deep machine learning had high sensitivity and specificity for detecting referable diabetic retinopathy, according to a study published online by JAMA. Among individuals with diabetes, the prevalence of diabetic retinopathy is approximately 29 percent in the United States. Most guidelines recommend annual screening for those with no retinopathy or mild diabetic retinopathy and repeat examination in 6 months for moderate diabetic retinopathy. Retinal photography with manual interpretation is a widely accepted screening tool for diabetic retinopathy. Automated grading of diabetic retinopathy has potential benefits such as increasing efficiency and coverage of screening programs; reducing barriers to access; and improving patient outcomes by providing early detection and treatment.

A lot of Machine Learning (ML) projects consist of fitting a (normally very complicated) function to a dataset with the objective of calculating a number like 1 or 0 (is it spam or not?) for classification problems or a set of numbers (e.g., weekly sales of a product) for regression ones. Yes, it's all about numbers and loads of operations which a computer is very good at. Consider the gender recognition by voice dataset which can be found in this Kaggle page. The objective with this dataset is, when given a speech signal, to identify whether it is from a male or female. This challenge falls under the category of a classification problem.

The Telegraph has proclaimed: "The end of apps is here…" TechCrunch, Mashable, VentureBeat, and others also shared their belief that mobile applications as we know them are a dying breed. But how did mobile apps become endangered? Recently, IO's creators changed the app's name to Luka and added several little helpers, meaning it's now in charge of 12 other bots: Foodie (for restaurant recommendations), Weather, Wiki, Video, Gif, Pic, News, Founders, Search, Calculator, Quiz, and QuestHero. As of July 2016, Luka had around 5,000 downloads on App Store, with a monthly income of less than $5,000 (according to Sensor Tower). Nevertheless, having announced the recent close of a $4.42 million Series A funding round, Luka's creators are more than optimistic about the app's future.

Dubbed as Amazon AI, the new service offers powerful AI capabilities such as image analysis, text to speech conversion, and natural language processing. On the analytics front, Amazon is adding a new interactive, serverless query service called Amazon Athena that can be used to retrieve data stored in Amazon S3. With this, customers can run and manage workloads in the cloud, seamlessly from existing VMware tools. Extending Lambda to connected devices, AWS has announced AWS Greengrass – an embedded Lambda compute environment that can be installed in IoT devices and hubs.

How The'Silly' Irish Founders At Intercom Built One Of Silicon Valley's Fastest-Growing Businesses At the AWS re:Invent event, Amazon has announced a host of new services that highlight its commitment to enterprises. Andy Jassy, CEO of AWS, emphasized on the innovation in the areas of artificial intelligence, analytics, and hybrid cloud. Amazon has been using deep learning and artificial intelligence in its retail business for enhancing the customer experience. The company claims that it has thousands of engineers working on artificial intelligence to improve search and discovery, fulfillment and logistics, product recommendations, and inventory management. Amazon is now bringing the same expertise to the cloud to expose the APIs that developers can consume to build intelligent applications.

Artificial Intelligence (AI) is changing everything from marketing to healthcare. And this holiday season is the beginning of the future for how marketers will leverage AI to better understand, connect with, and create superior experiences for consumers. To better appreciate the impact that AI is having on retailers, I connected with IBM's first CMO, Michelle Peluso. Peluso has a strong background in retail, having served at the CEO of Gilt as well as the Global Consumer Chief Marketing and Internet Officer at Citigroup. Peluso provides her thoughts below on how Watson's AI capability is changing the way retailers impact the consumer shopping experience.

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