Is Artificial Intelligence in eCommerce industry a game changer? Artificial Intelligence in eCommerce will impact the productivity metrics such as increased transactions, customer retention, increased customer loyalty and satisfaction. By providing eCommerce with improved understanding and human touch, the eCommerce Industry will be laid bare to extraordinary efficiency, consumer knowledge and automation. The convergence of Artificial Intelligence in eCommerce poises a rich industry on the precipice of a complete and utter transformation, one that will change the way we buy and sell online.

Real men don't say'cute' Can artificial intelligence solve America's crisis of democracy? Here's What Artificial Intelligence Will Look Like in 2030 NLP Healthcare and Life Sciences Market Projected to Reach 2.65 Billion USD by 2021 Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

The Obama administration may be headed for the exits, but it continues to focus on the impact of artificial intelligence on the economy and the nation at large. Artificial intelligence (AI) is an umbrella term for a group of technologies--including machine learning--that enable computers to learn new skills and capabilities based on the data they are exposed to, among other factors. The just-released report, titled "Preparing for the Future of Artificial Intelligence," does not downplay potential job lossdue to the advent of ever-smarter computers, but still posits that the technology will open up new career opportunities for those versed in it or who have higher-level skills. It also holds that public policy, especially re-training programs, can mitigate the negative impact of increasing automation by preparing displaced workers for other jobs. Prepared for the White House by the National Science and Technology Council's Subcommittee on Machine Learning and Artificial Intelligence, the report reiterates the conventional wisdom that AI-fueled automation will take over more jobs that could not be automated in the past.

Real men don't say'cute' Can artificial intelligence solve America's crisis of democracy? NLP Healthcare and Life Sciences Market Projected to Reach 2.65 Billion USD by 2021 Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

A startup that originally launched as an AI-powered virtual assistant, Mezi, has pivoted to focus on travel only. There's little to do online that's more annoying than booking flights, hotels and everything else you need just to take a break, or be somewhere for work. Mezi's newly designed app allows users to find and book flights and hotels and make restaurant reservations wherever they want to travel by simply typing a bit about what they're looking for into a messaging-style interface, or chatbot. Rather than relying on AI from the likes of IBM Watson or other providers, Mezi has built its own deep learning and natural language processing systems to make its app able to converse with users, and to filter out three options that meet their needs each time they make a request. Travel apps, from big players like Kayak and Google to growing startups like Hitlist or Skyscanner, already help users plan trips or find great deals on flights, hotels and more.

OpenAI, the artificial intelligence research non-profit backed by Tesla's Elon Musk, Y Combinator's Sam Altman, a Donald Trump fan called Peter Thiel, and numerous other tech luminaries, is partnering with Microsoft to tackle the next set of challenges in the still-nascent field. OpenAI will also make Microsoft Azure its preferred cloud platform, in part because of its existing support for AI workloads with the help of Azure Batch and Azure Machine Learning, as well as Microsoft's work on its recently rebranded Cognitive Toolkit. Microsoft also offers developers access to a high-powered GPU-centric virtual machine for these kind of machine learning workloads. These N-Series machines are still in beta, but OpenAI has been an early adopter of them and Microsoft says they will become generally available in December. Amazon already offers a similar kind of GPU-focused virtual machine, though oddly enough, Google has lagged behind and -- at least for the time being -- doesn't offer this kind of machine type yet.

The day before the election, as millions of Americans were feeling confident that the vast majority of the country shared their opinions, a pair of researchers at the University of Southern California Information Sciences Institute published a paper that looked closely at something many of us ignored: the provenance of political tweets. Where do they come from? How many are, in reality, made by humans? And if not, who is designing these crude straw-bots? Analyzing Twitter during three televised debates, they discovered that 20% of all political tweets were made by bots.

Microsoft knows that Minecraft can get kids into programming, and it's banking on that strategy again this year. It just teamed up with Code.org to introduce the Minecraft Hour of Code Designer, a tutorial that teaches young newcomers (6 years old and up) how to create a simple game. The Designer uses a drag-and-drop interface to illustrate familiar code concepts, such as object-oriented programming and loops, while letting imaginations run wild in Minecraft's blocky universe. You can make chickens that drop gold, and otherwise set rules that are as logical or ludicrous as you'd like. The tutorial is available right now in 10 languages, and it'll be available in 50 languages by the time Computer Science Education Week kicks off on December 5th.

Google released an update for Google Play Music, its music-streaming service. With this update, the service will use machine learning to present a user with personalized music recommendations based on "signals" such as their location, current activity and the weather. For instance, a selection of workout music may appear when a user walks into a gym. Google said users can opt in to receive these personalized recommendations. In addition, the app's home screen has been updated to provide users with additional personalized content.

Convolutional Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in areas such as image recognition and classification. ConvNets have been successful in identifying faces, objects and traffic signs apart from powering vision in robots and self driving cars. In Figure 1 above, a ConvNet is able to recognize scenes and the system is able to suggest relevant tags such as'bridge', 'railway' and'tennis' while Figure 2 shows an example of ConvNets being used for recognizing everyday objects, humans and animals. Lately, ConvNets have been effective in several Natural Language Processing tasks (such as sentence classification) as well. ConvNets, therefore, are an important tool for most machine learning practitioners today. However, understanding ConvNets and learning to use them for the first time can sometimes be an intimidating experience.