Apple's AI team publishes their first academic paper on adversarial training. Artificial Intelligence (AI) researchers at Apple have published their first paper. Called'Learning from Simulated and Unsupervised Images through Adversarial Training', it was submitted on December 22, and credited to Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russ Webb. With recent progress in graphics, it has become more tractable to train models on synthetic images, potentially avoiding the need for expensive annotations. However, learning from synthetic images may not achieve the desired performance due to a gap between synthetic and real image distributions. To reduce this gap, we propose Simulated Unsupervised (S U) learning, where the task is to learn a model to improve the realism of a simulator's output using unlabeled real data, while preserving the annotation information from the simulator.

Key sectors of interest include Internet of Things, FinTech, Future of Work, Logis-cs/Transporta-on, eHealth, Security and others. BootstrapLabs is a Venture Capital firm based in Silicon Valley and focused on Applied Ar:ficial Intelligence About Us 3. Community of Founders, Intrapreneurs, AI/ML Experts, Execu-ves, Professors, Researchers, Investors focused on Innova-on, Technology and Entrepreneurship 30K PEOPLE Our Community 200K FOLLOWERS 1K ATTENDEES Our online community between BootstrapLabs core team and its closer advisors has over 200K followers. We see traffic on our website and deal flow referral coming from over 60 countries BootstrapLabs brought together over 1,000 people during 2016. Our community is a key pillar of our success and we organize many exclusive private and public AI centric events each year 4. Applied AI Digest #1 2016 Google's DeepMind Beats a Top Player at the Game of Go Zucks to create AI-Powered Jarvis JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC IBM Watson Head on the Future of AI Read Full Articles 5. Applied AI Digest #2 Artificial Intelligence Deals on the RiseCould AI Solve the World's Biggest Problems? Harvard is building an AI Engine as fast as the Brain 6. Applied AI Digest #3 Is Big Data Still a Thing?

There are various thought leaders who believe that we are experiencing the Fourth Industrial Revolution, which is characterized by a range of new technologies that are fusing the physical, digital and biological worlds, impacting all disciplines, economies and industries, and even challenging ideas about what it means to be human. I am certain that healthcare will be the lead industrial area of such a revolution and one of the major catalysts for change is going to be artificial intelligence. With the evolution of digital capacity, more and more data is produced and stored in the digital space. The amount of available digital data is growing by a mind-blowing speed, doubling every two year. In 2013, it encompassed 4.4 zettabytes, however by 2020 the digital universe – the data we create and copy annually – will reach 44 zettabytes, or 44 trillion gigabytes (!).

Home hubs, or smart speakers that you can order around with voice commands, are expected to be a top gift this holiday season. But it can be a little hard getting used to having a disembodied voice in your house, and figuring out what to use it for. Focusing on Amazon's Echo (or the smaller Echo Dot) and Google's Home devices, we've put together a few basic tips to help you go beyond the setup menu and get the most from these gadgets: One of the first things you should figure out is where it's best to place them. The ability to set timers makes them useful in the kitchen. Their function as speakers makes them good for the living room.

While natural language processing (NLP) has become commonplace in the consumer space, e.g. Apple Siri, Amazon Echo and Ask Google, it has been the "sounds of silence" in the halls of enterprises around the globe. Among the biggest challenges facing organizations trying to leverage Big Data, is providing answers to users' questions in a natural, effective manner without cumbersome user interfaces or extensive training. Interactive voice assistants and online chatbots have recently simplified this process for consumers, however developers have had a challenging time adapting this approach to enterprise-class tasks due to the complexity and context of the questions, trustworthiness of the source, specificity of the information needed and accuracy of the answer. Today that all changes with Hewlett Packard Enterprise Software's announcement of a new release of its flagship unstructured data analytics engine, HPE IDOL, featuring advanced Natural Language Question Answering for the enterprise.

It can read lips and create new food recipes. It can win at chess, Jeopardy and the game Go. Every major technology company appears to be integrating it into how they organize and operate their business. And it seems like just about every new app in existence claims its software uses some sort of machine learning to make life even better. Artificial intelligence is splashed across headlines like never before.

When creating a new AI-based app, there are many generic problems that are already being solved by other companies, for example face and gesture detection. Unless this is the main business and focus of the company, they will prefer to look for an out-of-the-box AI-as-a-service solution which will save them time, expertise and money. This type of solutions are called AI platforms and give their users many out-of-the-box services, such as computer vision (feature/face and gesture detection), natural language processing (NLP), speech to text, and translations between different language. Many companies including Google and Amazon sell this kind of AI services. During 2017, we will continue to see many improvements in those platforms mainly in the ease of use, accuracy and performance.

What if your security camera could not only see who's at your door, but also identify whether it's a guest you're expecting, alert you when they arrive, and let them in? Or how about a speaker system that automatically plays music as your child wakes up? That's the type of functionality Facebook CEO Mark Zuckerberg (fb) is trying to build into his virtual butler, Jarvis, which he's been developing throughout the year as part of his New Year's resolution. With 2016 coming to a close, Zuckerberg published a lengthy blog post detailing the types of tasks Jarvis can accomplish. He also wrote about the biggest challenges that he faced when developing his artificial intelligence (AI) software, and where he believes AI is heading.

Amazon Echo is a speaker that acts as a personal voice assistant. You can control the Echo with your voice; and tell it to do things like play music, read the news, add items to your to-do lists and tell you the weather. Before you can get to that part though, you'll need to set up your Amazon Echo. We put together a guide for those of you who were lucky enough to snag an Echo this year. With the Alexa app, you can easily set your device, manage your alarms, music, shopping lists and more.

Technology has moved past the stage where remotes made our lives easier. As technology has evolved, our products are getting smarter. While in the past you could press a few buttons on the remote and switch on things, companies are now trying to innovate to the point where instead of starting your app you can just direct your digital assistant to take care of things. Though most of you must have experienced Siri, Galaxy, Google or Cortana--all personal assistants--on your phone or computer device, companies are now trying to integrate these software beyond your laptop or mobile screen. While portable speakers have been the domain of companies such as Bose, Harmon Kardon and Beats, there has been much disruption in the field of late.