ZDNet's Mary Jo Foley is reporting that Microsoft is working on a new suite of development tools called Open Mind Studio. On August 2, Microsoft Executive Vice President of Applications and Services Qi Lu reportedly showed slides which presented Open Mind as a collection of tools for machine learning development. It also described Open Mind Studio as the "Visual Studio" for machine learning. Microsoft did not comment on the story and has not said when Open Mind might become available. Recently, the company has been building machine learning capabilities into a number of its other products, including Bing, Outlook, Skype, HoloLens and Cortana.

Decision tree is a graph to represent choices and their results in form of a tree. The nodes in the graph represent an event or choice and the edges of the graph represent the decision rules or conditions. It is mostly used in Machine Learning and Data Mining applications using R. Examples of use of decision tress is predicting an email as spam or not spam, predicting of a tumor is cancerous or predicting a loan as a good or bad credit risk based on the factors in each of these. Generally, a model is created with observed data also called training data. Then a set of validation data is used to verify and improve the model.

Speech is a fundamental aspect of human behavior, yet it remains something that many of us struggle with. It's believed that around 1 in 14 adults in the United States have some kind of voice disorder, and our understanding of such disorders makes it difficult to both diagnose and treat. A team from MIT and the Massachusetts General Hospital believe that machine learning can play a part in better understanding speech disorders. In a recent paper, they describe using a wearable device to collect accelerometer data to detect differences in people with Muscle Tension Dysphonia (MTD) and a control group. After such individuals with MTD had received therapy for the condition, their behaviors appeared to converge with that of the control group.

In one of my previous articles I envisioned the state of Customer Success in the year 2041. The future looks bright for our community, but in fact the future is happening right now. Salesforce.com's annual Dreamforce conference is taking place in the San Francisco Bay Area even as I write these words, creating the perfect setting for a topic that underlies all my earlier predictions. You see, while the future of Customer Success will definitely include Automation, Virtual Reality (VR), and The Internet of Things (IoT), the thread linking all of these advancements together is Artificial Intelligence (AI). In this article I will discuss how AI can both help and hinder Customer Success. All new technologies present the possibility of a double-edged sword, and we have never been faced with a blade quite as sharp as AI.

At the core of IBM's Watson Analytics is a powerful bull's-eye tool; it employs a powerful user query as the basis of analysis. The Data Scientist or business user is free to play with the variables in any dataset and directly visualize how the changing user inputs impact the answers. The bull's-eye also helps narrow down the user query to help get a much clearer answer. This kind of focus can be especially useful in a large dataset, where the user is likely to get lost. IBM's design philosophy behind Watson was to keep the average user sharply focused on the query.

Some of the above list may not be traditionally thought of, or referred to, as types of reasoning. It is only when approaching the practical development of an Artificial General Intelligence is it observed that each of these are approaches or methodologies that constitute a form of reasoning independent of the others. Leveraging these reasoning types and approaches, Snasci will also be quite creative, capable of lying, story telling, humour and adapting to new situations without prior training. In business and scientific applications, Snasci's reasoning and comprehension capabilities will become invaluable. In addition, the ability to connect a wide range of sensors, novel inputs and outputs (including HPC rendering) means that any lab, research and development department, university, etc., can have a world class installation and knowledge base for a fraction of what it currently costs.

Picture a self-driving car that sees a pedestrian in the road and has to swerve to avoid them. Now imagine there are cyclists on both sides of the car – and only the one on the right is wearing a helmet. Should the car veer right, to avoid killing the unprotected rider, even if that means punishing safer cycling? "At least since Socrates we've been worrying about moral philosophy and how to describe what's right and what's wrong," he says. "Now suddenly we've got to programme this into artificial systems and it's like, damn, we haven't got very far."

The UK is about to further boost its status as a world leading centre for artificial intelligence (AI) with the launch of a new centre in Cambridge which is set to explore the implications the technology holds for humans. Officially opened by Professor Stephen Hawking on Wednesday, the 10m Leverhulme Centre for the Future of Intelligence (CFI) will bring together top researchers from across computer science, philosophy, social sciences and other disciplines such as law and politics to explore the development of AI and both the opportunities and challenges it brings. Read more: Quiz: Who said it - real Trump or robot Trump? "Success in creating AI could be the biggest event in the history of our civilisation," said Hawking. "But it could also be the last – unless we learn how to avoid the risks. Alongside the benefits, AI will also bring dangers like powerful autonomous weapons or new ways for the few to oppress the many. We cannot predict what we might achieve when our own minds are amplified by AI. Perhaps with the tools of this new technological revolution, we will be able to undo some of the damage done to the natural world by the last one – industrialisation."

In recent years, Hawking has issued some rather apocalyptic warnings about artificial intelligence. "The development of full artificial intelligence could spell the end of the human race," he told the BBC in 2014. So when the world's most famous scientist praised the opening of a new A.I. research center earlier this week, the Earth wobbled slightly as a million heads turned at once. On Wednesday, Hawking spoke at the official opening of the Leverhulme Centre for the Future of Intelligence (CFI) at Cambridge University. While Hawking tempered the rather dire tone of his previous conjecture on A.I., he didn't mince his words, either.

Improvements in language-processing algorithms, machine learning, cloud storage, and search engine technologies are making it possible for bots to successfully replace human interaction in customer service roles in more advanced ways. In many ways, bots will serve as personal assistants that can perform time-consuming and complex tasks via relaxed and conversational commands.