As you know, we Homo Sapiens the most intelligent being in this planet earth. Many thousands of years we have passed trying to realize how we think. That is how we manage a matter to perceive, predict and utilize a world far larger and more complex than it self. Every activity is accomplished by a human is assigned as intelligence. If we talk more precisely combination of many diverse abilities such as problem solving, reasoning, perception, creativity, planning, critical thinking, emotional knowledge and ability in handling language.

SINGAPORE: Singaporeans ranging from secondary students to working adults will get to pick up artificial intelligence (AI) basics for free as part of a programme called AI for Everyone (AI4E) unveiled on Thursday (Aug 30). The programme, which targets 10,000 participants, aims to familiarise them with AI and help them understand how it can be used in their daily lives, said Minister for Communications and Information S Iswaran at an event to commemorate the first-year milestone for AI Singapore (AISG). It will also help dispel fears that AI will replace jobs, according to a separate joint fact sheet by AISG, Info-communications Media Development Authority (IMDA) and the National University of Singapore (NUS). Materials for the three-hour workshop will be provided by tech giants Intel and Microsoft. These free workshops will start from the end of this month and will run for three years.

The definitions of AI and machine learning, how to tell whether you need ML, and what the spread of Internet bots could mean. If you're hoping to use them in your business, it's important to know the difference between machine learning (ML) and artificial intelligence (AI). Ask these questions before you decide to invest resources. Bots are everywhere in today's online world. What happens if this trend continues?

For a couple of years now, AI and Machine Learning have been taking over web forums as well as adding to the excitement of eager developers who are keen to give it a go in their projects. I'm by no means a Machine Learning expert, but I have brushed the surface of it in a couple of development projects which required a "smarter" way of doing things. To be clear, what we're going to explore today is only the tip of the iceberg when it comes to Machine Learning and my examples are going to be quite rudimentary, however Natural Language Processing is quite an exciting prospect and has some amazing, yet creative use cases for your projects, examples of those would be: Natural Language Processing by definition as stated on Wikipedia, refers to: "the application of computational techniques to the analysis and synthesis of natural language and speech." An NLP library will help you perform relatively complicated data extraction on string. Ever searched on Google and spelled a word incorrectly?

There are new buzzwords on the net – AI, deep learning and machine learning. Although sometimes they're used interchangeably, deep learning and ML are just forms of AI. Today we're going to specifically look at both of them, as we cover AI basics. As a business owner, you've probably heard of these terms before but it sort of feels like a foreign language, unless you have a base understanding of the concepts. ML technology enables engineers to create programs or systems that can learn on their own over time with minimal training or input data, to begin with.

Vernor Vinge once stated in his book The Singularity, "We are on the edge of change comparable to the rise of human life on Earth." As AI now undoubtedly plays a pivotal role in many industries, its risks and repercussions simply cannot be ignored; and shining a light upon these has never been more imperative. That's why, in response to the White House's Notice Of Request For Information (RFI), IBM has created what seems to be an AI 101--covering the huge field of AI and its vast potential applications. "The views of the American people, including stakeholders such as consumers, academic and industry researchers, private companies, and charitable foundations, are important to inform an understanding of current and future needs for AI in diverse fields," the RFI summary read. IBM's AI 101 consisted of a numbered list of topics in a somewhat re-ordered and slightly re-factored response to the RFI's questions.