Google experimenting with new virtual reality ads that react to users' eyes

The Independent

Google has started experimenting with new ad formats for virtual reality (VR). The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot ...

Apple Smart Glasses' Expected AR-Based Features And Release Date

International Business Times

While the company, as usual, has been secretive about its upcoming products, recent developments like Apple's recent purchases of eye-tracking company SMI have lent credence to the notion that we might see the Apple smart glasses in the future. The device has started creating a buzz because recent supply chain leaks indicate it is being actively being worked upon. Integrating SMI's technology might make the Apple device consumer-oriented. Apple updated its Siri patent in China and the European Union earlier this year, mentioning that Siri would support smart glass capability.

Google Photos' AI-powered sharing is now available


A Google Photos upgrade arriving this week uses machine learning to suggest pictures based on both your own sharing habits, the people in the photos, and whether or not they're part of a "meaningful moment," such as a party or a wedding. You might not have to remember to share photos of your best friend when you get home from a big weekend shindig. And while your friends won't need Google Photos to receive suggested shares, the shared library clearly depends on everyone signing up. You won't always have to remember to share photos when you get home -- a machine will do much of the work for you.

Artificial intelligence: Three common misconceptions


The best way for companies to fully understand the real potential of AI is to dispel some common misconceptions, starting with the following three. Examples include data mining and analysis; machine learning, which enables machines to teach themselves without any help from human programmers; natural language processing (NLP), which enables a machine to understand human speech as it is spoken; and digital image processing, used to analyse and interpret pictures and photographs. Artificially intelligent machines will replace humans in some areas of work, but certainly not all of them. We will undoubtedly see an increase in job vacancies that specifically deal with managing artificial intelligence technologies, including software engineers, analysts, researchers and project managers.

Google's €2.4bn fine is small change – the EU has bigger plans

New Scientist

When it comes to the EU Commission's decision to fine Google €2.42 billion for breaking competition law, the cash is just a distraction. The real impact of the ruling is that Google must stop using its dominance as a search engine to give itself the edge in another market: online price comparisons. The ruling says that in doing this, Google deliberately promotes its own price comparison results over its competitors, such as Yelp. The EU commission found that since it started prioritising its own shopping services in 2008, Google's price comparison service has increased its UK traffic 45-fold.

Carnegie Mellon's AI Program Aims to Better Prepare Students for the Changing Workforce


The goal is to train students to build complex software systems or powerful robots that utilize multiple different AI technologies, whether it be machine learning tech to help those systems learn from data or technology that helps robots see and perceive the world similar to humans. However, there hasn't been a standardized way to develop these complex projects that require multiple AI technologies to function together. Similar to how building a skyscraper requires people with expertise in diverse fields like structural engineering and concrete mixing, building powerful software like Siri or robots requires people with expertise in many different areas of AI. "We have done a good job of covering all the component parts," Moore said of teaching different subsets of AI like machine learning and computer vision.

SEO 2017: How To Artificial Intelligence 247 Digital


With the launch of Google's machine learning technology called Rank Brain, AI (artificial intelligence) will impact SEO and Digital Marketing more and more over the next few months. Deep learning and machine learning will help improve SEO results and better rank web pages. As we mainly browse and search from mobile devices, mobile SEO has now become the Must-Have in Digital Marketing 2017. With the advent of Siri and Google Voice, Artificial Intelligence plays an even greater role in search marketing.

Introducing Deep Learning and Neural Networks -- Deep Learning for Rookies (1)


You've probably seen terms like Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) flying all over the place in your social media newsfeed. Deep learning is a subfield of Machine Learning, and Machine Learning is a subfield of Artificial Intelligence. Moreover, DL can perform outside the machine learning area and comes to assist other areas like computer vision and NLP so that hopefully AI could pass the Turing Test and Total Turing Test one day! In case this cell decides to trigger signals, the extension on the cell body called axon will triggers chemical transmission at the end of the axon to other cells.

Report: AWS set to add machine-translation services for developers


It sounds like Amazon Web Services is getting ready to bring translation technology used on the CNBC reported Monday that AWS will likely announce the availability of a machine translation service before the big re:Invent user conference this November. AWS has been first among cloud rivals many times in the past when it comes to releasing new services for its customers, one of the many reasons why it enjoys a leading portion of the market for cloud services. But it's playing catch-up here: Google has been working on computer-assisted translation for almost a decade as part of its search technology, and offers a translation API through Google Cloud Platform for its customers. After building out a huge number of services for basic developer needs, like compute and storage, cloud companies are increasingly jockeying for position based on higher-level services like artificial intelligence, which requires a substantial amount of investment that most companies are not prepared to make.

Artificial intelligence in your shopping basket: Machine learning for online retailers ZDNet


BloomReach is a relatively new company, founded five years ago, focusing on building tools to algorithmically power ecommerce websites, making things personal - what De Datta calls a "personalised discovery platform". Under the hood of a service that uses machine learning to manage on-site navigation, is a "web relevance" engine that uses user data - which has been collected at scale - to understand demand. Currently the machine learning system is working with one billion consumer interactions, on a 150 million web pages; which means processing 5TB of data every night. Users won't be able to tell the difference between natural site content and generated content from the BloomReach cloud service.