What is the digital ecosystem? It’s a subset of TMT companies that specialize in the development of hardware, content, and software applications and provide a platform for the creation, distribution, and consumption of content, applications, and services.
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Jakob Werner, a 22-year-old animator and visual design student in Germany, decided to interpret the idea of machine learning a bit more literally “in order to create a sarcastic view at our society and into the future.”
The result is a wooden automaton that appears to “read” by holding a book, moving its eyes as if scanning the words, and then flipping the page. “The secret behind machine learning,” he wrote in the video’s description. “This is how machines collect data.”
Werner’s artist statement shows he’s thought deeply about this topic, even though his project is tongue-in-cheek.
“Machine learning distinguishes itself from memorisation because it has the ability to recognize patterns which makes the algorithm seem more human-like,” he wrote. “This is essential for machines in order to be considered as artificial intelligence. Though there are a lot of programs and machines that aren’t intelligent but just seem to be. They don’t solve problems, they are programmed to work around them.”
According to a new market research report “Augmented Reality Market by Component (Sensor, Display, & Software), Display Type (Head Mounted, Head-Up, Handheld, & Spatial), Application (Aerospace & Defense, Consumer, Commercial), and Geography – Global Forecast to 2020”, the total augmented reality market is expected to reach $56.8 Billion by 2020, at a CAGR of 79.6% between 2015 and 2020.
The augmented reality technology would drive the specialized applications in the diverse fields. The augmented reality was initially developed for the military purpose to train the military personnel.
It would help the military personnel to be aware of the new instruments and weapons. Augmented reality technology is also used in the medical sector to train the doctors and the nurses to help the patients treat better.
The gaming experience has been much more fruitful with the augmented reality being used in generation of the games.
The augmented reality market is expected to exhibit a high growth in the next five years. The use of augmented reality technology in sectors such as aerospace & defense, consumer, and commercial would be high in the coming years.
The applications such as aerospace & defense and automotive would also help boost the augmented reality market.
The presence of major companies such as Google, Inc. (U.S.), Qualcomm, Inc. (U.S.), Microsoft Corporation (U.S.) in the North American augmented reality market is likely to boost the market growth in the region.
The European augmented reality market would follow North America in terms of market growth. The associations such as the EuroVR, the European Association for Virtual Reality and Augmented Reality and the growth of automotive and aerospace & defense sector in the region would help the growth of European augmented reality market.
The Asia-Pacific AR market is likely to be driven by fast-growing commercial sector in the region.
The major market players covered in the report are:
When you reach for your book at the end of the day, is it paperback or electronic? Though eBooks were slated to overtake print books in 2015 it just didn’t happen. There was a 10% drop in eBook sales and a 2% increase in paper book sales during that time period. Because there are pros and cons to both, most people go back and forth depending on their needs.
Louis Columbus, Machine Learning Is Redefining the Enterprise in 2016
Machine learning’s ability to scale across the broad spectrum of contract management, customer service, finance, legal, sales, quote-to-cash, quality, pricing and production challenges enterprises face is attributable to its ability to continually learn and improve. Machine learning algorithms are iterative in nature, continually learning and seeking to optimize outcomes. Every time a miscalculation is made, machine learning algorithms correct the error and begin another iteration of the data analysis. These calculations happen in milliseconds which makes machine learning exceptionally efficient at optimizing decisions and predicting outcomes.
Facebook’s new servers for artificial intelligence research, inside the company’s data center in Prineville, Oregon (Source: Technology Review)
Source: Technology Review
[youtube https://www.youtube.com/watch?v=v09-n4buwYE?rel=0]
Source: IEEE Spectrum
Ex Machina (2015)
Source: MadAboutMovies
Source: http://www.lkessler.com/brutefor.shtml
Lee Se-dol, one of the world’s top Go players, won just one of the matches against the AlphaGo program, missing out on the $1 million prize up for grabs. (March 2016)
In July 1984, a factory robot in Jackson, Michigan, crushed a 34 year-old worker in the first ever robot-related death in the United States. The robot thus violated Issac Asimov’s First Law of Robotics, “A robot may not injure a human being or, through inaction, allow a human being to come to harm,” first articulated in 1942.
In 2008, Rodney Books predicted: “[In the 1950s, when I was born] there were very few computers in the world, and today there are more microprocessors than there are people. Now, it almost seems plausible that in my lifetime, the number of robots could also exceed the number of people.” He must have had in mind some specific catalysts that will cause rapid acceleration in the proliferation of Robots—at that time (2008), the world’s Robot population stood at 8.6 million.
Source: CB Insights; Last accessed 5-Jul-2016.
Specific AI capabilities are particularly strategic and will create immense value to many industries. Predictive analytics, speech and image recognition are the earliest verticals enabled by AI and rightly so because of potential applications in sectors including security, advertising and healthcare. For example, doctors can leverage image recognition and automate the medical diagnosis or a security company can use predictive analytics to detect patterns in DDoS attacks to prevent them in future. A very good indication of AI’s emergence is the much greater visibility across specific application areas; the following graph illustrates the rise of press mentions in the Communication, Security, Advertising, Healthcare and Finance sectors.
Future Use of FinTech
Top Reasons for Using FinTech
Top Reasons for Not Using FinTech
EY:
We surveyed more than 10,000 digitally active people in Australia, Canada, Hong Kong, Singapore, the United Kingdom and the United States to better understand the overall rate of FinTech adoption, which users are adopting which products and the outlook for future usage.
Our survey shows that 15.5% of digitally active consumers have used at least two FinTech products within the last six months. As awareness of the available products and services increases, adoption rates could double within the year.
The first EY FinTech Adoption Index shows significant opportunity for both traditional and new generation of financial services providers to gain valuable market share by offering innovative FinTech products and services.
The index defines FinTech services as financial services products developed by non-bank, non-insurance, online companies. We evaluated 10 services in four categories: savings and investments, money transfer and payments, borrowing and insurance. Users were defined as digitally active consumers who use two or more FinTech products or services. The survey was conducted from 1 September 2015 to 6 October 2015.
