It seems that the long winter of AI has come to an end and this field is enjoying the unstoppable progress in the spring stage. But the only way AI becomes more powerful is by getting fed with a tremendous amount of data. More the data, better the efficiency of the AI algorithms. Seeing the helpful uses of such AI based applications the users happily allow the access to any kind of data. In the coming times, there will be applications which would demand access to every kind of data you generate. And the truth is we will willingly submit our data. Because bigger the data sets are, smarter the AI. The major reason for feeding the AI algorithms is that is improving and helping the human life. Read more about it in the article written by Mike Elgan (author of  technology and tech culture) at: http://www.computerworld.com/article/3035595/emerging-technology/artificial-intelligence-needs-your-data-all-of-it.html

To get the raw data, processed through the Artificial Intelligence models, the data has to be uploaded on a cloud. But there are privacy issues or time wastage in uploading data on cloud and retrieving back. Internet connection is a must. So to eradicate these problems, researchers have developed a chip that could bring AI to the hardware like smart phones, sensors or other mobile devices. These have very large neural networks, which can process data then and there. This means without having access to Wi-Fi or other connections, users can get meaningful insights rather than just the raw collected data. This technology will be of great help in the field of Internet of Things. To know more, follow: http://electronicdesign.com/iot/artificial-intelligence-gets-its-head-out-cloud

Artificial Intelligence is used to generate intelligent behaviors in gaming, to simulate the human behavior. But to make the experience more natural it is required that the artificial intelligence based players in the game must imitate the human behavior. That means they also must be prone to errors and mistakes. This is the real challenge in gaming for AI. AI models remember the patterns, so this avoids repetition of mistakes. Humans can lie very easily at every step. This is a complex phenomenon for the AI models. So this is what computer engineers are working on to make games with AI appear more natural. Read more at: https://www.newscientist.com/article/2078134-cleverness-isnt-everything-for-a-gaming-artificial-intelligence/

The intelligence exhibited by machines is called artificial intelligence (AI). To a layman this field is full of mystery. But AI is embedded is many things that often go unnoticed. Organizations are using AI to make the consumer experience better. So, you are no longer cluttered with irrelevant ads. The recommendations on the social media platforms are the result of machine learning and artificial intelligence models. There are smart entertainment apps that learn from your behavior and choose what is best suited for you. To read more follow:   http://insidebigdata.com/2016/02/12/why-consumers-need-to-stop-fearing-artificial-intelligence/

Every human being is interested to know their chances of getting sick in the future. This is where artificial intelligence scientists steps in. With the combination of machine learning, natural language processing and text analytics scientists are working to find out some latest concepts and technologies in biomedicine. Each term is then given a score, which, based on the technology's analysis, identified its predicted rate of incline. So based on that, few predictions have been made for 2016.  To know more, follow: http://www.science20.com/news_articles/ai_may_tell_us_whats_going_to_be_big_in_science_this_year-165373

The term "Artificial intelligence" (AI) was first introduced by the John McCarthy for the study of intelligence which is carried out using a computer. AI is becoming reality and both fear and faith are also increasing day by day. Even many movies like the terminator, ROBOT, RA-One are based on AI and machine taking control. Similarly, the world famous physicist Stephen Hawking shows his fear on the growth of AI and IoT by saying that the full development of AI could "spell the end of the human race". It is expected that by 2020, about 80% of adults will own a smartphone. It is also changing the way people relate to one another and their surroundings. There are apps for most of things that you can think of, like fitness apps, cooking apps and much more. Today AI and IoT are allowing people to do more things on their phones and off them too. Read more at: http://www.notchcommunications.co.uk/blog/2015/03/the-dawn-of-artificial-intelligence-and-the-internet-of-things

Ever wondered if machine learning can be used for Data Driven Marketing. The Intelligent Agent (IA) developed on the concept of machine learning takes a big leap in data driven marketing.  IA technology can learn about the user behavior and suggest most suitable actions. It can identify the most relevant data from the whole lot and can even find out the reasons for the importance or relevance of that data. Artificial Intelligence is revolutionalising the field of marketing. Intelligent Agent would reduce the manual processing and will produce better results. Read more about it in the article written by John Bates(Senior Product Manager for Data Science & Predictive Marketing Solutions) at: http://blogs.adobe.com/digitalmarketing/analytics/data-driven-marketing-ready-for-machine-learning/

We've been thinking about the Internet of Things all wrong. According to various predictions by various companies, there were various statements specifying volume and amount of money, number of connections. These are just numbers, Numbers, more numbers. If we believe in the predictions, there is no way that current analytical solutions can manage that level of information. In the immediate future artificial intelligence capabilities are required. Which means all companies who have an analytics platform play will have to invest in A.I. research, acquire and finally emerge with solutions based on methods beyond machine learning. Or risk being left behind. If this sounds vaguely familiar, it's because right now all efforts are pointing towards machine learning and algorithms as the goal for analytics. To read more visit on: http://www.forbes.com/sites/theopriestley/2015/12/08/a-series-of-unfortunate-tech-predictions-artificial-intelligence-and-iot-are-inseparable/#39f25ec8523a1253d985523a

When we talk about Artificial intelligence, we always come across the question,' will there ever be possible that machine replaces humans and preforming better than us?' The answer is partially 'yes', as at least in many things machines are performing as unchallenged champions of creativity and intelligence. Areas where artificial intelligence already performing better than humans are.

• Search the web quicker. Machine learning AI helps in web engine optimization through understanding the meaning of words and phrases, and can therefore guess what should be in the page ranking in never seen before searches.
• Work in deadly environments. Robots can survive in conditions where humans can’t like deep space, the oceans penthouse, or inside a radioactive reactor.
• Get a PhD quickly. Few critics of AI argue that machines could never be creative, or curious, or discover anything of significance, but team at Tufts have proved the naysayers wrong.
• Deliver a correct medical diagnosis.
• Translate in many languages.

Read more at: http://www.huffingtonpost.com/george-zarkadakis/5-things-ai-can-do-better_b_8906570.html?utm_hp_ref=technology&ir=Technology

Why to go far? If we see in our recent past artificial intelligence and machine learning were very exciting and dream topics among engineers and developers. But now machine learning has emerged as the ideal branch of big data and working as oxygen to concepts like artificial intelligence. Year 2015, was a year of massive market shifts. Machine learning (ML) and its super set artificial intelligence (AI) where computer receives new information and learn without supervision have played very important and revolutionary role for the shift. Still Machine Learning has much more in the store. Year 2016 is going be a big year for machine learning. Usually, computers have been used to enhance the ability to carry out tasks. Users see this with features like auto completion and spell check. In the upcoming year these leaps are likely to be made on three fronts: natural language processing, personalization, and security.  To know more about machine learning follow the article written by Motti Nisani(author) at: - http://www.geektime.com/2015/12/27/2015s-big-leap-into-machine-learning/

In today's world most of the jobs which were performed by humans have been replaced by robots and computers leading to increase in unemployment. For example: robot waiters, robot doctors and self-driving cars. A company in China is installing 30,000 robots every year that has snatched the work that was earlier done by human beings. Today robots are becoming cheaper so there is possibility that they might take over the jobs of human beings even in low cost companies. The main cause of this threat is the invention of smart machines. There is inverse relation between smarter computers and employment. Every year computers are becoming smarter, doubling their processing power and memories.  Machines that have Artificial Intelligent (AI) and smart computers that can act own their own have adversely affected humans, leaving them unemployed. Also high skills are required to operate these smart computers and not all humans got the same. According to some economists, AI should be controlled otherwise the results could be disastrous. Read more at:http://www.smartdatacollective.com/bernardmarr/330436/ai-biggest-threats-your-job

The dynamic interaction between human and artificial intelligence, is going to revolutionize the way, people perceive their IOT (Internet of Things) environment. IoT has numerous applications in businesses, from products like intelligent refrigerator and self-driven cars, to impacting a company’s costs and earnings. Artificial intelligence can help in understanding, say the time required to service a product, the cost incurred in the process and also the substitutes of the product. This knowledge helps in reducing production cost, generates new revenue opportunities, and also aids in diversification of the company in terms of new products. Read more at: 

http://venturebeat.com/2015/06/24/the-internet-of-everything-how-iot-and-machine-learning-will-revolutionize-your-business-webinar/

Since 19th century, Artificial Intelligence always made everyone very curious but only recently we started to see its applications. Even now its applications are very narrowly limited to natural language processing and image processing. Some people are scared that AI may one day replace humans in many industries and cause unemployment. Let's see what two pioneers in the industry of AI think. Read more at: http://www.technologyreview.com/news/537941/emtech-digital-where-is-ai-taking-us/

Artificial intelligence (AI) is important nowadays. Marketers and advertisers need to understand that without the help of AI, it is difficult for any business to sort through all the data and then take day-to-day strategic decisions, and ensures that there is no wastage and thus increasing ROI. Marketers also use AI to look at a customer’s past behavior and predict what they are going to be interested in future.  But, the main risk is that many of the jobs that require human attention may be performed better, faster and even cheaper in the future by robots or AI software systems. Read more at: http://digitalmarketingmagazine.co.uk/digital-marketing-data/unlocking-the-potential-of-data-through-artificial-intelligence/1723

How about a system which can learn from its mistakes? How about a system which can evolve over time automatically? We refer to these features as Artificial Intelligence, exhibited by a software or by a machine. 

To Read More: visit the following link...

http://www.theguardian.com/technology/2014/feb/22/robots-google-ray-kurzweil-terminator-singularity-artificial-intelligence