Medicare gets easier with 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

Do Artificial Intelligence and Internet of Things Angel or Devil

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

Dr. Robot: Future of Health Care with AI

We can’t imagine today’s world without IT sector. In each and every sector such as finance, medical, engineering, politics and many more IT is playing an important role by improving accuracy and perfection. Similarly in the field of health science, Artificial intelligence and robotics is playing very important role in transforming the health care industry as well as also helping with taking better decisions and improving public health. According to an estimation more than 6 billion dollars: That’s how much health care providers and consumers will be spending every year on artificial intelligence tools by 2021. If we believe on people related to health care industry then it is clear that in future AU will be everywhere- from diagnosing cancer to providing weight-loss coaching. No one can doubt on the ability of AI to sort through scads of information, and remember everything it has ever seen, could enable a digital version of Dr. House, the brilliant diagnostician from the eponymous TV show. "At first, it's a complete mystery, it could be one of ten different things," he says, about the process in the show, and real life, called differential diagnosis. AI can take care of more factors so it may help doctors to take better decision in care of “democratize” diagnosis. “Democratize” diagnosis is general cardiologist rather than a team with different sub-specialties. To know more read the article by Sean Captain at: http://www.fastcompany.com/3055256/elasticity/paging-dr-robot-the-coming-ai-health-care-boom

A Series Of Tech Predictions

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

Things that AI can do better than we do

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

Changing Life with Machine learning and artificial intelligence

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 superset 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 autocomplete 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/