Natural language is a fundamental element of bot technologies. As a result, there has been a direct correlation between the evolution of bot platforms and natural language processing platforms. While the evolution of bot technologies has been driven by the messaging platform vendors such as Facebook or WeChat, the main advancements in natural language processing technologies is coming from cloud platform and service providers like Microsoft, Google and IBM. As a result, most bot developers spend time integrating their frontend bot applications with natural language processing services provided by a different platform. During this Meetup we will discuss the two main natural language programming techniques that have become popular with bot technologies as well as the key differences between a rule-based bot and AI bot.

Meanwhile the leader of Communist China rebranded his prickly protectionist power as the defender of globalisation and shared values. So after week one in this upside down new world, how stands China's bid for global leadership? A week is just a week, but when it comes to strategic focus, China is on course. It's easier to look laser sharp when the competition is in disarray. Here the internal difficulties of the US and the European Union are helpful to China.

Reading Data Science – Machine Learning vs Rules Based Systems by Karthik Guruswamy Data Scientist at Teradata got me thinking about how machine learning is replacing rule-based systems in how we manage and use enterprise content, knowledge, and ideas. These types of rules are extremely easy to understand and easy to code. But, Karthik points out, things quickly get out of hand: "When a system gets operationalized, one starts with 100 scenarios with 100 rules to handle it. As time goes by we encounter more and more exceptions and start making more rules to keep exceptions under control. Think US Tax Code – things get unwieldy and cumbersome over time."

Artificial Intelligence (AI) may be regarded as an attempt to understand the processes of perception and reasoning that underlie successful problem solving and to incorporate the result of this research in effective computer programs. At present, AI is largely a collection of sophisticated programming technique that seek to develop systems that attempt to mimic human intelligence without claiming an understanding of the underlying processes involved. Artificial Intelligence (AI) can offer may advantages over traditional methods, such as statistical analysis, particularly where the data exhibits some form of non-linearity. Some existing application of spatial analysis and modeling techniques includes artificial neural networks and rule-based system fuzzy logic . Neural Network are biologically inspired and it is based on a loose analogy of the presumed working of a brain.

So the UK, it seems, is headed out of the European Union's single market, perhaps also out of the customs union. Prime Minister Theresa May has said she wants to preserve barrier-free trade between the UK and the EU as far as possible. One option that has been floated, if the two sides can't agree a comprehensive free trade agreement, is sectoral deals. They might cover cars, for example, or perhaps financial services. But there is a problem with this approach: World Trade Organization rules.

Machine Learning, Artificial Intelligence and Natural Language Processing (NLP) are transforming the technological landscape in a wide range of applications. Three primary uses are predictive analytics, deductive reasoning and natural language understanding. Interfaces for domains such as search and geolocation are increasingly natural-language-like instead of using rigid menu-driven, or programming-language-like interfaces. The task of understanding the user's intention requires complex systems based on machine learning, training data, NLP algorithms modeling theoretical linguistics, or a combination of these techniques. Secondly, machine learning allows us to predict user intention based off of previous user data and tendencies.

A day after pardoning NSA whistleblower Chelsea Manning on Tuesday, the outgoing administration of President Barack Obama imposed new limits on the CIA's power to gather private information on U.S. citizens. The new rules, which were also declassified, were posted on the CIA website Wednesday. The amendment to the rules known as the Attorney General Guidelines (so called because they require sanction from the Department of Justice) are the first of their kind since the rules were first introduced in 1981 through an executive order, number 12333, signed by Ronald Reagan. Classified since then, Wednesday was also the first time the veil of secrecy was lifted from the entire 41 pages of the rules, which are now public. "We are updating for the 21st century a set of rules that were previously not significantly updated since 1982," Caroline D. Krass, the general counsel of the CIA, reportedly said during a press briefing at the CIA headquarters in Langley, Virginia.

"The last 10 years have been about building a world that is mobile-first. In the next 10 years, we will shift to a world that is AI-first." While there is growing interest in AI, the field is understood mainly by specialists. Our goal for this primer is to make this important field accessible to a broader audience. We'll begin by explaining the meaning of'AI' and key terms including'machine learning'.

An ES tool provides one or more knowledge representation schemes for expressing knowledge about the application domain. Some tools use both frames (objects) and IF-THEN rules. In PROLOG the knowledge is represented as logical statements. Reasoning engine: Inference mechanisms for manipulating the symbolic information and knowledge in the knowledge base to form a line of reasoning in solving a problem. The inference mechanism can range from simple modus ponens backward chaining of IF-THEN rules to case-based reasoning.

In conventional electronic control systems, the output of the process under control is converted into an electrical signal output which is compared to a reference input signal. The difference or error signal actuates the controller to generate a control action signal. When the control signal is proportional to the error signal at a given moment, the output can take on any value between zero and one (fully off and fully on). If the control signal varies as the cumulative value of the error signals up to that moment, the control action is integral. It is also possible to have a control signal that depends upon the rate of change of error giving a derivative controller.