Imagine one day walking into a gorgeous structure--like LA's famous Walt Disney Concert Hall--only to discover it was designed by a computer system and constructed by automated robotic arms. Ai Build, a London-based startup, aims to pave the way to 3D printing on large scales. The company is equipping industrial-grade Kuka robotic arms with artificial intelligence and "3D printing guns" to 3D print large structures that focus on maximizing efficiency with labor and materials. Founder and CEO Daghan Cam dreamed up the technology while considering traditional commercial construction and wondering what a more efficient and automated process might look like. In October, the company partnered with engineering consulting firm Arup Engineers to debut the 3D printed "Daedalus Pavilion" at the GPU Technology Conference in Amsterdam.

The world of computing has shifted to new platforms and services--like mobile and the cloud--and is promising to head in even bolder new directions, such as virtual reality and augmented reality. So, how does one of the biggest names in computing respond to a changing landscape? To find out, The Wall Street Journal's editor in chief, Gerard Baker, spoke with Microsoft Chief Executive Officer Satya Nadella. Here are edited excerpts of their conversation. BAKER: Your customers are happy.

SEOUL-- Samsung Electronics Co. is looking to give its Siri-like virtual assistant a big promotion. The South Korean smartphone giant is considering a hardware revamp for its next flagship smartphone that could add a dedicated button for an improved artificial-intelligence feature, people familiar with the matter said, as it seeks to woo smartphone users after a disastrous product recall last month. The latest internal prototypes of the premium Galaxy S8 handset include a button on the side edge of the smartphone that would be used to launch a beefed-up virtual assistant based on artificial intelligence, akin to Apple Inc.'s Siri, according to these people, who cautioned that the prototypes aren't final and could change. Samsung will have more time than usual to tinker with the Galaxy S8 after it was forced to discontinue its premium Galaxy Note 7 smartphone last month, following reports of phones catching fire. The embarrassing fiasco damaged the company's brand and engineers still don't know exactly what caused the devices to overheat.

Machine learning is a scientific method that involves analysing data by automating the process. It seeks to answer the very question of'How we can teach our systems to automatically learn and improve with experience?' By learning, it means recognising complex patterns and making intelligent decisions based on data inputs which are often too complex for a human to process. Algorithms are used iteratively to learn from data to find hidden insights in order to bring about reliable and repeatable results. As today's new computing technologies become complex, the science of machine learning is gaining momentum, helping businesses apply complex mathematical calculations to big data – with speed, precision and accuracy.

Feifei Li, an associate professor at the University who helped develop the program, said it provides a real-time window into how the public is reacting to political events. "What's cool is that you can actually adjust the lens of the window. If you look at the last few months of data altogether, the sentiments for Democrats is stronger than the sentiments for Republicans," Li said. "Given the recent outburst of email scandals, things might change a little bit." Researchers said the biggest surge of positive tweets for Republicans came during the national convention, and again after a video was released of Trump boasting about sexually assaulting women.

There is a lot of confusion these days about Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL). There certainly is a massive uptick of articles about AI being a competitive game changer and that enterprises should begin to seriously explore the opportunities. The distinction between AI, ML and DL are very clear to practitioners in these fields. AI is the all encompassing umbrella that covers everything from Good Old Fashion AI (GOFAI) all the way to connectionist architectures like Deep Learning. ML is a sub-field of AI that covers anything that has to do with the study of learning algorithms by training with data. There are a whole swaths (not swatches) of techniques that have been developed over the years like Linear Regression, K-means, Decision Trees, Random Forest, PCA, SVM and finally Artificial Neural Networks (ANN).

Chatbots, AI and Machine Learning pave a new domain of possibilities in the Fashion industry, from Data Analytics to Personal Chatbot Stylists. Chatbots, the automated and smart contextual messaging systems are all in trend from Facebook's annual developers conference, that will allow developer's to develop bots on messengers. With time chatbots are proving to be the future of commerce and the next generation of user interface. Chatbots are entering almost every customer service oriented industries like E-commerce, Healthcare, Travel and Hospitality, Fashion and where not. Chatbots help brand's customers to have a flawless experience.

For the last several years, we've grown accustomed to having an app for everything. The market is flooded with options to address just about any need a person has. A technology that could challenge that phenomenon seemed unlikely--until recently. The chatbot may be giving apps a run for their money. In fact, there is a very real possibility that apps as we know them will be obsolete in the next several years. Chatbots simulate conversations with humans--like bodiless robots, they have answers for many of our questions.

Earlier this year, researchers' artificial intelligence beat a human in the dazzlingly complex board game known as Go. It was a milestone in machine learning. Now, the same Google-backed researchers who designed AlphaGo have their sights set on dominating a new game: Starcraft, the classic computer strategy game that has attracted millions of fans, some of whom duel online in professional tournaments hosted by real-life sports leagues. Researchers from U.K.-based DeepMind want to train a bot that can play StarCraft II in real time -- making decisions about which military units to send on scouting missions, and how to allocate resources and ultimately conquer other players. Beginning next year, the game will serve as a research platform for any AI researcher who wants to use it, potentially allowing myriad player-algorithms to train off of the same game.

Social psychologists have long known that humans make snap judgments about each other based on nothing more than the way we look and, in particular, our faces. We use these judgments to determine whether a new acquaintance is trustworthy or clever or dominant or sociable or humorous and so on. These decisions may or may not be right and are by no means objective, but they are consistent. Given the same face in the same conditions, people tend to judge it in the same way. And that raises an interesting possibility.