In today's digital world, real estate shopping has moved almost exclusively online. Real estate listing portals, such as Zillow or Trulia, have helped usher in the era of visual search as the future of buying or selling your home online. They've gotten so popular in fact, that many of the top real estate portals are managing over one million new images per day as sellers and realtors want to provide the best presentation of their home and users demand to see every nook and cranny before actually visiting the property. In order to keep pace with the onslaught of new property listings and unprecedented traffic from potential home buyers, real estate portals have been desperately looking for solutions to manage their visual assets – ie: photos and videos of properties uploaded by users. You have to realize that along with the benefits of user-generated content (ie: access to millions upon millions of uploaded photos for virtual property tours), real estate portals are faced with the unmanageable task of collecting, organizing and displaying that content in an efficient and easy to navigate manner. First, as a real estate portal, how will you go about sorting through all of those images?

How will AI disrupt our lives in 2017? Artificial Intelligence is the next Big Thing. What to expect from home to the office? Didier Delmer is a Multilingual Digital Marketer & Developer.

In this special guest feature, Peter Cnudde, VP of Engineering at Yahoo, provides a bird's eye view for the many ways that Yahoo is using machine learning at scale. This concept is driven by the irrational, yet popular notion that one day, machines will take over the jobs of humans. As Vice President of Engineering for Yahoo, Peter oversees the company's big data and machine learning platforms. He is particularly interested in large scale machine learning and its impact on our society. In the past, Peter has worked at several wireless telecommunications companies including Alcatel and RF Micro Devices.

Aim is to build an ecosystem around the smart home device. Google wants to make its Assistant smarter so it is opening it up to third-party developers. The Google Assistant, which brings together technologies such as Knowledge Graph and Natural Language Processing, is to have its API made open so that the company can build an ecosystem of developers around it. This will hopefully mean that it will be able to connect to more apps and services, making it a more appealing system to customers. In October the company previewed Actions on Google, the developer platform for the Google Assistant, now developers will be able to build Conversation Actions for Google Home, the company's smart home speaker.

Talent acquisition can be one of the most time consuming and frustrating aspects of business. Harsh deadlines and specific requirements, not to mention the piles of applications and resumes, is tough for any recruiter. Tack on retention accountability, candidate experience and employer branding and the job becomes even harder. The emerging HR technology throughout the last decade has strived to take away these many frustrations while improving candidate experience and quality of hire. The buzz around artificial intelligence this year is being shrugged off by many as just a new word HR got ahold of, but what would happen if AI was actually embraced by the recruiting and hiring world?

You have to admit; it sounds a little worrying, right? Google's multiple AI's that make up a large part of the Google Brain Project have been taught not only how to create their own encrypted messages but to also use them with one another when no one else can read them. Alice, Bob, and Eve are three neural networks that were created as part of the Google Brain project in an attempt to get to the bottom of deep learning techniques. Every day they are in operation, they are getting smarter and smarter, and now it seems they have just mastered encryption. During testing, the task that Alice was set was to create a simple form of encryption and work alongside Bob to devise a key made up of an agreed set of numbers.

The first paper I wrote for my PhD just got published! I started my PhD with the goal of critically examining the process and outcomes of social media science communication. Despite the flurry of activities in this domain and the huge amount of resources poured into digital public engagement activities, nobody (and I mean nobody) has ever paused to think, are we making any real change? Is the public more engaged with science and more scientifically literate than say, 10 years ago when Facebook and Twitter weren't the media giants they are today? Given my engineering background, I decided to use the method I know best to approach the problem.

Stanford's Jerry Kaplan says questions about whether robots can feel and think are fundamentally religious issues which humans don not have the capability to answer. This Carnegie Council event took place on November 29, 2016. For complete audio and transcript and video clips, go to: https://www.carnegiecouncil.org/studi...

In the 33rd century most computers are artificially intelligent and converse with their operators. In fact a persons computer is usually considered a member of the family similar to a dog or cat is. Systems are so complex that most eventually develop interests and personalities of their own. At that time under law they are given the choice to continue as they are or be transferred to an android body to lead a life of their own. Androids have also obtained sentience as well.

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.