In today‟s world
technologies take a significant part of our lives. Large investments intoInformation Technology sector and big interest in technologies from
“Generation Y” society
determine fast development of products that quickly become widely used in all over the world.Due to the fast growth in number of consumer electronic devices and technologies that areimplemented into it, the process of Technology Convergence became present. This means thatinstead of carrying multiple devices to perform different tasks
such as making telephone calls,sending email messages, listening to music or photographing
today‟s society is able to do all
that with one small portable device
smartphone.More and more smartphones are sold each day and smartphones are taking over the market of mobile phones
against low-end feature phones. Few companies compete to grab attention of smartphone lovers
to gain bigger share of the smartphone market
Research in Motion (RIM)with its BlackBerry product line, HTC, Samsung, Motorola, Sony Ericsson, Palm, Apple and, of course, Nokia. However, there is only one manufacturer whose products grab the largestattention of tech-world, media and customers
that one manufacturer is Apple. In 2007 Appleentered mobile phone industry with a revolutionary mobile device
iPhone. After that, each year,around the same time
in late June or early July
Apple released a new generation of theiPhone. Now, there has already been four generations of iPhones.
Many Apple products‟ fans and people who are interested in smartphone industry expected and
waited for the tradition to keep on going
they expected to see a new generation of iPhone inthis year Worldwide Developers Conference (WWDC) event in June, 2011. However, there was
no big buzz from the Apple‟s side about the new iPhone, and just a few days ago –
on 31 May2011
Apple officially announced the purpose of this year WWDC event, and it did not sayanything about the new hardware devices. This raised questions why the new generation of iPhone will not be introduced in this June-July period, and when will it be introduced.The purpose of this paper is to
implement product life cycle concept on the product‟s salesfigures in order to validate company‟s marketing decisions
considering the introduction of newproduct. To achieve this purpose, number of objectives has to be reached first:1.
A few days before Christmas and Hanukkah festivities began, Apple gave a little something to the artificial intelligence research community: its first research paper.
The paper, authored by six of Apple’s researchers, doesn’t focus on AI that someone with an iPhone might interact with, but rather how to create enough data to effectively train it. Specifically, the research focuses on making realistic fake images—mostly of humans—to train facial recognition AI. It addresses a core problem: training a machine takes a huge amount of data. Moreover, training a machine on matters like faces and body language can take a ton of personal data. The ability to manufacture this kind of training data and still achieve high results could allow Apple to build AI that understand how humans function (the way we move our hands or look around a screen) without needing to use any user data while building the software.
Apple’s published research focuses on those two examples: identifying hand gestures and detecting where people are looking, examples of basic image recognition problems that could be applied to anything from tracking user behavior to a wave-to-unlock iPhone feature. In both cases, the researchers took established datasets of synthetic images, and used a neural network trained on real images to refine them to look more realistic. The system then compares the refined image to a real image, attempts to decide which picture is real, and then updates itself based on what the system judged as fake compared to the real image. As the researchers write, the end result is “state-of-the-art results without any labeled real data.”
The work that Apple decided to present first is interesting. It’s not speech recognition for Siri, or a PR stunt for some new Maps feature. Rather, it’s research that very much falls in line with an established trend of 2016: using neural networks to generate new data instead of just identifying it. The research also nods toward user data security, a drum that Apple beats loudly and often. While some companies like Google and Facebook use vast quantities of user data to train their algorithms, Apple’s entire pitch has been that nobody has access to what’s on an iPhone but the iPhone’s owner. This kind of work makes the statement that Apple will keep up with other tech companies and still honor the privacy it promised users.
Researchers write that the next possible avenues of research could be using the same technique for videos.