Recently, I got curious about finding out how much different institutions publish in my area. Does Google publish more than Microsoft? Which university has the strongest publication record in NLP? And are there any interesting trends that can be seen in the recent years? Quantity does not necessarily equal quality, but the number of publications is still a reasonable indicator of general activity in the field, how big the research group is, and how outward-facing are the research projects.

In this post you will discover how you can learn more about your data in the Weka machine learning workbench my reviewing descriptive statistics and visualizations of your data. Click on the "preg" attribute in the "Attributes panel" and note the plot below the "Selected attribute" panel. Continuing on from the previous section with the Pima Indians dataset loaded, click the "Visualize" tab, and make the window large enough to review all of the individual scatter plots. In this post you discovered how you can learn more about your machine learning data by reviewing descriptive statistics and data visualizations.

Here is a cloud robotics software for machine tending that lets you teach robots how to interact with 3D printers and other machines. Tend.ai's solution lets you use industrial robotic arms, web cams, and other equipment you already have to get started. Your robots will be able to read each machine's display and press the right buttons like humans. You won't have to modify your machines. These robots can be trained using an iPad, iPhone, or Android device.

Though still at its infancy stage, Artificial Intelligence (AI) is eliciting much enthusiasm from many people. He believes that although Artificial Intelligence is currently disguised as a helpful digital assistant and helping us with autonomous works like self-driving car and all. Hawking warns that AI and robotics could evolve faster than human beings could, and their goals and mission for existence will be unpredictable. Artificial Intelligence has the potential to evolve faster that the human race.

"By some estimates, 47% of existing jobs in the US could be replaced by automation," said Wendell Wallach, Scholar, Interdisciplinary Center for Bioethics, Yale University, USA. "When the World Bank used similar methodology, it came up with 69% in India, and 77% in China. If that's truly the case, we are talking about tremendous jobs being lost," he added. The central concern is: what are we training our children for in the future? How should they be cooperating with these technologies to go beyond what any machine alone can realize and perhaps bring about super intelligence, he asked. Lee Sedol, Grand Master, Korea Baduk Association, Republic of Korea, pointed to the need to think ahead and focus on solving disruptions brought on by technologies such as driverless vehicles.

Experts have come out in defence of automated driving technology after a driver was killed while using his Tesla's autopilot feature. Specialists in the fields of artificial intelligence, engineering, and transport have said that while the death was tragic, it should not prevent the software from being developed. Joshua Brown, 40, died when his Tesla Model S went underneath the trailer of a lorry that had turned left in front of him on a Florida road in May, prompting an urgent investigation by Tesla itself and the US authorities. In a statement on its blog, Tesla explained that the technology is still under development and that as an assist feature drivers "need to maintain control and responsibility for [their] vehicle' while using it." The company went on to say that the autopilot mode does still result "in a statistically significant improvement in safety."

Instructions for how to install the neccessary software for this tutorial is available here. Data for the tutorial can be downloaded by running ./data/get-data.sh (requires wget). Certain algorithms don't scale well when there are millions of features. For example, decision trees require computing some sort of metric (to determine the splits) on all the feature values (or some fraction of the values as in Random Forest and Stochastic GBM). Therefore, computation time is linear in the number of features. Algorithms can deal with data sparsity (where many of the feature values are zero) in different ways.

Reuters – Around half a million fans will attend this year's Wimbledon tennis championships. But that figure is dwarfed by the number talking about the on-court action on social media. Wimbledon and partner IBM are using artificial intelligence to keep their 10 million-strong digital audience engaged. "The opportunity you have to attract someone on social media is around six seconds," said Sam Seddon, IBM Client Executive for Wimbledon. "So understanding what they're interested in in that moment is really critical. When you've got 10 million social media followers, that's a huge amount of conversation going on. So the challenge is how do you analyse millions and millions of posts across Facebook, across Twitter, across Instagram, in that moment."

Edusson is an online service that gives user Personalized Essay Writing Suggestions. On the other side Edusson is a great freelance platform and creates jobs for more than 600 well-qualified editors. A: Robot Don is a machine learning tool that facilitates writing and hopefully brings some fun to text editing. We have created this software to make people better understand what they actually wrote. For students it is a free way to get their essays reviewed and pre-graded (in a way), content strategists can do text mining whilst bloggers can better understand their text relevance to the topics, etc.

IBM Watson Provides Self-Service AI for Developers By Darryl K. Taft Posted 2016-05-07 Print In what IBM calls "self-service AI," the company enables developers to easily tap into the power of its Watson APIs to build cognitive apps. When IBM initially launched its Watson cognitive computing platform, one of the first questions on a lot folks' minds was, "When can I tap into the power of Watson?" IBM responded by opening up Watson to developers via the Watson Developer Cloud, which offers Watson services and APIs as well as useful documentation and tutorials, starter kits and access to the Watson developer community. IBM started slow and continued to evolve its Watson strategy for developers. The company started with just a few Watson partners and offered just a handful of Watson services.