AI-powered chatbots are the next big trend in emerging technology, with Venture Beat reporting there are currently 11,000 messenger chatbots live on Facebook. Several industries, from eCommerce to athletics to medicine, are looking for ways to implement artificial intelligence into their operations. While these chatbots are relatively new, they've already attracted a lot of attention in finance. Historically, banking has been among the most resistant industries to embrace digital transformation, but technology-driven customers want to interact with banks on their own terms. Calling in or waiting in teller lines is no longer a reasonable customer expectation, any online and mobile services have taken banks in the right direction.

Actually, this is about two R versions (standard and improved), a Python version, and a Perl version of a new machine learning technique recently published here. We asked for help to translate the original Perl script to Python and R, and finally decided to work with Naveenkumar Ramaraju, who is currently pursuing a master's in Data Science at Indiana University. So the Python and R versions are from him. We believe that this code comparison and translation will be very valuable to anyone learning Python or R with the purpose of applying it to data science and machine learning. The source code is easy to read and has deliberately made longer than needed to provide enough details, avoid complicated iterations, and facilitate maintenance.The main output file is hdt-out2.txt.

Self-driving vehicles could begin tooling down a bustling Atlanta street full of cars, buses, bicyclists and college students, as the city vies with other communities nationwide to test the emerging technology. Atlanta would become one of the largest urban areas for testing self-driving vehicles if plans come together for a demonstration as early as September. Nationwide, 10 sites were designated last month as'proving grounds' for automated vehicles by the U.S. Department of Transportation. North Avenue is being eyed as a real-world proving ground for self-driving vehicles, one of several communities nationwide vying to be test sites for the emerging technology. They include North Carolina turnpikes, the eastern Iowa prairie and a Michigan site where World War II bombing aircraft were produced in a factory built by automobile pioneer Henry Ford.

Since the past 4-5 years, we have seen a change in the shopping behavior of users, both online as well as offline. It has resulted from user's reviews and recommendations about the products ranging from fashion to home to technology, all thanks to social websites like Facebook, Pinterest, Instagram and many other global as well as regional social sites. Social commerce is a term, coined by Yahoo in 2005, as a set of online shopping tools that take into account the user liking patterns, sharing reviews, information and advices on products, as per their usages, thus affecting the sales of those products. There are two types of social commerce strategies -- one is offsite where the e-retailer brings in the social angle from external social platforms, separate from their own websites, thus enhancing the sales and second is onsite social commerce platform where the website/platform uses its own channel to enhance sales based on content, context, and reviews etc. AI and ML Tech comes into play after these reviews and recommendations have been provided by the users and then placing the same in front of potential buyers for better decision making. Artificial and machine learning technologies have been used by giants like Google, Microsoft, Facebook, and Apple for more than a decade to enhance their platforms for better user experience which can now be seen to be mandatory adaptation for most of the internet based businesses, not only as it shows better ROI, but also open countless doors for future digital opportunities.

The Consumer Electronics Show (CES) held in Las Vegas in the first week of Jan each year sets a nice pointer to technologies that are going to remain in focus in the new year. This year artificial intelligence (AI) with the associated technologies such as smart IoT sensors and increasingly powerful and seamless human machine interfaces (HMIs) proved to be the cynosure of all eyes that passed by. Most global automobile companies are working on driverless cars that are based on continuous advances in computer vision and deep learning technologies. The Japanese automobile giant Honda showcased a tiny optical sensor that can fit in the rear view mirror of a car and measure throat movement of the passengers in the car. This helps to improve the clarity of conversations amongst passengers in noisy environments.

Artificial intelligence "will soon destroy millions of human jobs," warned Gerd Leonhard of The Futures Agency, a speaker at Tata Communications' CEO Summit 2016 earlier this month. "In five years most companies will have armies of very cheap, very powerful machines, connected to a smart cloud, and they will be able to accomplish so many routine processes," the Zurich-based futurist said. "Some 25 years from now machines, through cognitive computing and using vast amounts of data from humans, will do all of that kind of work." A select cluster of 60 business leaders attended the two-day conference at Coworth Park in Ascot, which both educated and provoked. It addressed concerns but also flagged up potential opportunities.

Barbie has been a princess, a chef, an astronaut and now, the popular doll is set to become a computer animation. Mattel has unveiled its 3D Barbie Hello Hologram that lives inside a box and comes to life when a child says the magic words, 'Hello Barbie'. Children can command the digital assistant, which Mattel says will cost less than $300, to change clothes, setup reminders, dance to pre-programmed music and ask the AI various questions. Barbie has been a princess, a chef, an astronaut and now, the popular doll is set to become a computer animation. Mattel has unveiled its 3D Barbie Hello Hologram that lives inside a box and comes to life when a child says the magic words, 'Hello Barbie' Mattel unveiled the latest Barbie to its collection.

Daniel Ek, chief executive officer and co-founder of Spotify AB, gestures as he stands for a photograph after a news conference in Tokyo, Japan, on Thursday, Sept. 29, 2016. Spotify Ltd. is bringing its popular online music service to Japan, a large and lucrative market where fans have demonstrated a continuing fondness for CDs and even vinyl records. How did Spotify get so good at machine learning? Was machine learning important from the start, or did they catch up over time? I was at Spotify 2008–2015 and built up the machine learning team.

In order to take its security and Artificial Intelligence benefits a step higher, Apple allegedly has acquired Israeli cyber security firm RealFace that specializes in facial recognition innovation. As per the details provided by report released by Times of Israel the startup was established in 2014, was taken over by Apple for an expected sum of $2 million. This acquisition had added fuel to the current rumors about the fact that iPhone's next model may accompany facial authentication innovation. RealFace has built up a special facial recognition innovation that incorporates artificial intelligence and "brings back human perception to digital processes".The organization has goals of making profound learning-controlled biometric logins standard and passwords redundant while opening your cell phone or PC. The Israeli startup likewise built up a now-old application called Pickeez, which chose and examined a client's best photographs crosswise over different stages utilizing the RealFace acknowledgment programming.

Fundamentally, machine learning is a productivity tool for data scientists. As the heart of systems that can learn from data, machine learning allows data scientists to train a model on an example data set and then leverage algorithms that automatically generalize and learn both from that example...