It's not just Amazon that will make money from cloud computing and artificial intelligence, according to Wall Street. Morgan Stanley believes Microsoft's Azure business will thrive riding the same hot technology trends. The firm reiterated its overweight rating on Microsoft shares, predicting the company will report profits ahead of expectations next year due to cloud computing demand.

The marketing industry is rapidly evolving. It's at a new phase where Big Data and AI (Artificial Intelligence) are driving strategy development and decision making. Because conventional analytics scale at a gradual pace, marketers are beginning to utilise AI to analyse the large volume of unstructured data to improve marketing research, forecasting accuracy and campaign experiences. A research of CMOs from the US, UK, and China from companies with more than $500 million in revenue revealed that around two thirds of these think Artificial Intelligence will play a significant role in their future marketing operations. But only a third claimed to have good knowledge of how it is actually implemented.

Recommender systems aim to find an accurate and efficient mapping from historic data of user-preferred items to a new item that is to be liked by a user. Towards this goal, energy-based sequence generative adversarial nets (EB-SeqGANs) are adopted for recommendation by learning a generative model for the time series of user-preferred items. By recasting the energy function as the feature function, the proposed EB-SeqGANs is interpreted as an instance of maximum-entropy imitation learning.

The iPhone 7 and 7 Plus were released on Sept. 16, 2016. The iPhone 7 models featured new hardware updates and an updated 12 megapixel rear-facing camera. Notably, Apple removed the 3.5 mm headphone jack in the 7 and 7 Plus models. SAN FRANCISCO -- Apple wants to make AR a reality. Three weeks after it unveiled ARKit, a new augmented reality developer kit that would help Apple app developers integrate this technology that overlays digital images on the physical world, and Apple CEO Tim Cook singed its praises, the company has acquired SensoMotoric Instruments, a German developer of eye-tracking movement technology.

Have you ever found yourself reading Hacker News, thinking "they raised a 10M series A for that? I could build it in one weekend!" This app probably feels a lot like that, and the initial prototype was indeed built in a single weekend using Google Cloud Platform's Vision API, and React Native. But the final app we ended up releasing on the app store required months of additional (part-time) work, to deliver meaningful improvements that would be difficult for an outsider to appreciate. We spent weeks optimizing overall accuracy, training time, inference time, iterating on our setup & tooling so we could have a faster development iterations, and spent a whole weekend optimizing the user experience around iOS & Android permissions (don't even get me started on that one).

Good news, Google Home owners: your smart speaker is now ready to get to know your family. The search giant has confirmed that UK Homes now support up to six users, allowing members of your household to train Google's Assistant to recognize their voices. It also means that their music playlists, schedules and appointments can be synced, ensuring everyone gets more use out of the tiny white speaker. The feature is actually pretty easy to set up. Simply make sure that you have the latest version of the Google Home app on your smartphone (iOS or Android) and then find the card that says "multi-user is available."

Artificial Intelligence, Machine Learning and Sentiment Analysis are changing the way in which numerous client services are offered. In particular, Financial Organisations are creating and leveraging such innovation in the domain of wealth management. This trend is now being taken on board by multiple innovators: academia, start-ups, technology companies and financial market participants. AI and Machine Learning have emerged as a central aspect of analytics which is applied to multiple domains. AI and Machine Learning, Pattern classifiers and natural language processing (NLP) underpin Sentiment Analysis (SA); SA is a technology that makes rapid assessment of the sentiments expressed in news releases as well as other media sources such as Twitter and blogs.

The idea of artificial intelligence (AI) has been around for decades, and from movies to games, has now found a home in the mainstream. We are not yet at the point where computers are starting to plot the overthrow of humanity, but through AI, computers are beginning to understand our fellow human beings better than we may understand ourselves. At least, advertising and marketing platforms that integrate AI into their processes are crunching numbers much faster than we ever could, and deriving insights that marketers use to better target and understand the end user and consumer. Starting simple with AI technologies, there are recommendation engines: "Early low-hanging fruit for brands to harness the power of AI is in content discovery," Glenn Hower, senior analyst at Parks Associates, told attendees at the "A.I. Meets Media: Innovation Summit" presented by Ooyala.

At Qucit we use geographic data collected from hundreds of cities on a daily basis. It is collected from many different sources, often from each city's open data website and used as inputs to our models. We can then predict parking times, bikeshare stations occupations, stress levels, parking fraud… Gathering it is a lot of fastidious work and we aim at automating it. In order to do so we want to get our data from a source available everywhere: satellite images. We now have a good enough precision to detect roads, buildings and we believe that single trees can be detected too. We tested our model on the SpaceNet images and labels, acquired thanks to the Spacenet Challenge. During this challenge the Topcoder Community had to develop automated methods for extracting building footprints from high-resolution satellite imagery. Non Intrusive Load Monitoring is the field of electrical consumption disaggregation within a building thus enabling people to increase their energy efficiency and reduce both energy demand and electricity costs. We will present to you this active research field and what are the learning challenges @Smart Impulse.

In the modern world, algorithms do much of the digital heavy lifting. Algorithms control the inner-workings of everything from particle accelerators to stock markets. They determine the news you see, what search results you get, how computers learn, and what gets recommended to you on Netflix or Amazon. In short, society couldn't function as-is without algorithms – and as we lean on them to run more things, it becomes more important for us to learn what they are and what they do. An algorithm is a predetermined set of steps for a computer to accomplish a task.