Lexicographers have a hard time these days. With the rise of social media, they are confronted with the appearance of new terms almost in real time. As they observe search trends in online dictionaries, they must react quickly. Some of these new terms are easy to define – bitcoin, blockchain, phishing: articles that deliver contextual information are surfacing across the net like mushrooms on the damp soil of a forest, helping lexicographers to capture the various semantic flavors into a set of definitions. But what about words coined by a pundit in the frenzy of a tweet, words that leave you wondering whether they are just a misspelling, or a genuine word creation?

Apple has revealed new details about how exactly the iPhone is made – and how it is trying to improve the lives of people who are actually putting it together. The new Supplier Responsibility report for 2017 shows just how potentially damaging that process is. But it reveals how at least some of those problems can be removed from it, and what the company is doing to make sure it is taking those steps. The problem facing Apple and other technology companies is easy to explain, but incredibly difficult and complicated to solve. Those companies are mostly sincere in their desire to ensure people aren't hurt while making the phones in our pockets and the computers on our desks, and are largely held responsible when they fail to do so – but the suppliers are operating separately from companies like Apple and often in places with fewer worker protections and more abuses.

Google has made its machine learning education program available to everyone-- from researchers, to developers and companies, to students. The Learn with Google AI portal which was earlier exclusive to Google employees, called Googlers, is now available to everyone else with an interest in the field. Anyone, from novice to an expert, can learn the basics as well as the advanced art of the trade. "This site provides ways to learn about core ML (machine learning) concepts, develop and hone your ML skills, and apply ML to real-world problems. From deep learning experts looking for advanced tutorials and materials on TensorFlow, to "curious cats" who want to take their first steps with AI, anyone looking for educational content from ML experts at Google can find it here," said Zuri Kemp who leads Google's machine learning education effort.

TensorFlow is an open-source software library developed by Google which is used for machine learning. It is capable of running on both CPU and GPU in all Linux, Windows and MacOS platforms. Tensorflow can be used to design, implement and train deep learning models which are inspired by the structure and function of the brain. In this article, I am going to give a step by step guide to implement a simple neural network using TensorFlow. The famous Iris flower data set is used here to train and then classify a given flower to the correct type.

Google is now offering an Introductory course on Artificial Intelligence(AI) and Machine Learning(ML) for free on its new Learn With AI site. Google hopes the site will be a hub of information for AI and ML. The site is intended to be a resource for everyone from beginners to advanced researchers. Google claims the site "will be a place where one can learn about core ML concepts, develop and hone your Machine learning skills, and apply ML to real-world problems" Google understands people are not familiar with these concepts, including those in fields like app development where AI and ML actually matter. The site contains a free crash course that was initially designed for Google employees.

It's 9 am on a February morning and the mercury is just inching past 20 degrees Celsius in Bengaluru. The workday is already two hours old in the metropolis's densely laid-out eastern suburb of Marathahalli. A student batch of both unemployed and working software professionals at Robotek Minds, a tech training institute, has just finished its data science class. Data science is the new buzzword in the tech industry and the code jocks in the Marathahalli class have a singular focus: a job or a leg-up at one of the shiny information technology campuses dotting the city and housing the world's leading tech corporations. Which, they hope, will be a passport to a comfortable salary that will grow in long strides in the years ahead as the use of data in the world economy explodes.

Although the term "Chatbot" is still a buzz word to many people, this revolutionary technology has already been considered "the next big thing" due to massive benefits it can bring to companies across various industries. In this article, we will discuss several chatbot use cases to solidify our claim that businesses should embrace chatbots. According to a research conducted by Chatbots Journal, a leading chatbot community, E-Commerce will benefit the most from chatbots compared to other industries. Successful commerce relies much on B2C (Business-to-Consumer) interaction. Chatbots enrich the relationship between online shops and customers with "conversational commerce", making B2C interaction quicker and friendlier than just a mere business transaction.

On 1st March Google introduced Learn with Google AI Website – a set of educational resources that aims at bringing machine learning skills and makes artificial intelligence accessible to all. Google says the new course has been developed by Machine Learning (ML) experts at the company and is free and available to all users. These educational resources will encourage everyone from beginners to researchers to learn about machine learning concepts by providing a huge range of free, in-depth content, develop skills in the area, and apply AI concept to the real-world problems. Previously, the Machine Learning Crash Course(MLCC) was an internal course at Google, designed to train the Google's employee with a practical introduction to Machine Learning concepts and Artificial Intelligence(AI), as Google continues its moves to be an "AI First" company. Around 18,000 Google employees have already signed up for the course.

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Google on Thursday introduced "Learn with Google AI" -- a set of educational resources developed by Machine Learning (ML) experts at the company, for people to learn about concepts, develop skills and apply Artificial Intelligence (AI) to real-world problems. "Learn with Google AI" comes with existing content as well as the new Machine Learning Crash Course (MLCC). "We believe it's important that the development of AI reflects as diverse a range of human perspectives and needs as possible. So, Google AI is making it easier for everyone to learn ML by providing a huge range of free, in-depth educational content," Zuri Kemp, Programme Manager for Google's machine learning education, said in a statement. "This is for everyone -- from deep ML experts looking for advanced developer tutorials and materials, to curious people who are ready to try to learn what ML is in the first place," Kemp added.