Now, the big brands are starting to leverage chatbots to promote their products. According to a recent survey carried out by Facebook IQ, 63 percent of consumers are using messaging apps (in this case, Facebook Messenger) to contact companies, find information, and buy products. According to the Facebook survey, 67 percent expect to message businesses more frequently over the next two years. Currently, businesses can build bots that carry out simple tasks, answer simple questions, and help with the steps laid out above.

Take a sneak peek at the awesome innovative technologies built on Intel architecture featured at this year's Intel Developer Forum. Build Caffe* optimized for Intel architecture, train deep network models using one or more compute nodes, and deploy networks. Find out how the Intel Xeon processor E5 v4 family helped improve the performance of the Chinese search engine Baidu's* deep neural networks Read about Bob Duffy's experiences getting his Microsoft* Surfacebook* set up to best maximize virtual reality (VR) applications. Intel Developer Zone experts, Intel Software Innovators, and Intel Black Belt Software Developers contribute hundreds of helpful articles and blog posts every month.

However, iOS users might have not realized it but there is already artificial intelligent capability applied in the current generation iOS operating system. The company has given a clear indication that it will continue to implement artificial intelligence features in its next generation operating system. Apple executives have created an impression that artificial intelligence is not a "final frontier" that other tech companies have predicted it to be but they did confirm that the company is working towards AI and other machine learning initiatives for the future. Apple executives also confirmed that the company does not have a dedicated team working on artificial intelligence or machine learning, so it is a bit confusing as to how the tech giant intends to apply such features in its future software updates.

And while computer scientists have tried to simply program computers to speak and understand natural language, it has become more and more apparent that learning a language is the only way to truly understand it and capture all of the nuances. That's where the machine learning comes into play. NLP is more about a class of problems than a particular method. That being said, nearly all modern NLP solutions use machine learning.)

The Greeks shared their beliefs with the Egyptians on how to interpret good and bad dreams, and the idea of incubating dreams. In that century, other cultures influenced Greeks to develop the belief that souls left the sleeping body.

Baidu's Deep Speech 2 is a cloud-based voice recognition software based on a deep learning neural network. "But we were noticing that in the past two to three years, speech recognition was actually improving a lot, benefiting from big data and deep learning to train its neural networks to produce faster, more accurate results. For English, the speech recognition software was three times faster with a 20.4 percent low error rate. For Mandarin Chinese, the software was 2.8 times faster with a 63.4 percent lower error rate compared to typing.

The road to self-driving cars got a little more crowded Tuesday, as Mobileye (MBLY) announced it will partner with General Motors (GM) supplier Delphi Automotive (DLPH) to jointly develop off-the-shelf autonomous driving technology for automakers. Mobileye, a Tesla supplier of advanced driver-assistance systems (ADAS), last month disclosed that its partnership with Tesla was ending. Mobileye is a leader in the development and production in computer vision systems, mapping and machine learning, while Delphi, a General Motors spinoff, is a leader in automated driving software, sensors and systems integration. Mobileye recently announced that it would team with BMW (BMWYY) and Intel (INTC) to develop a fully automated driving system, a partnership that one analyst called a "turning point" for autonomous vehicles.

Each problem is unique, so it can be challenging to manage raw data, identify the right data to include in the model, train multiple types of models, and perform model assessments. Machine learning uses algorithms that learn from data to help make better decisions; however,it is not always obvious what the best machine learning algorithm is going to be for a particular problem. Examples of machine learning techniques include clustering, where objects are grouped into bins with similar traits; regression, where relationships among variables are estimated; and classification, where a trained model is used to predict a categorical response. Figure 1: Examples of machine learning include clustering, where objects are grouped into bins with similar traits, and regression, where relationships among variables are estimated.

The team worked on tweaking the physics of the game, allowing you to play more physically and fight for the ball like real players do. The algorithms that allow you to do dribble moves were pretty good in the past, but they looked like scripted animations that were hard to escape. You see a vastly improved help defense system in the game, where computer players are much more aware of their surroundings. Instead of simply moving from point A to point B, or sticking with one player on defense, the 2K team told me that computer players are much better at understanding what to do on the court and why.

The deal, announced Tuesday, will bring the Genee team into the Microsoft fold and put them to work on bringing intelligence into Office 365. Acquiring Genee is part of Microsoft's ongoing crusade to build intelligent productivity software and services using AI. It's unclear whether the functionality from the assistant will be making its way directly into Office 365, or if the team behind Genee will just be put to work improving a variety of Microsoft's products. This all plays into Satya Nadella's ongoing strategy of aggressively acquiring companies to shore up Microsoft's capabilities and growth areas.