In 2015, Google revealed its'god-like' AlphaGo artificial intelligence system - the first computer program to defeat a world champion at the ancient Chinese game of Go. And while it may sound implausible, the incredible system has just got even better. Scientists have unveiled the latest version of the system, called AlphaGo Zero, which learns to play simply by playing games against itself. The researchers hope their creation can help to solve some of the'most important challenges humanity is facing.' The system starts off with a neural network that knows nothing about the game of Go.
We read a lot of news about chatbots reshaping entire industry sectors by utilizing artificial intelligence (AI), machine learning and natural language processing. Some chatbots are good in assisting consumers in buying tickets or finding good food nearby. Others can keep a simple conversation alive or replace traditional FAQ pages. What most media pundits miss, however, is that such a capability is nowhere near general AI potential, which casts doubts over the very future of chatbots. For start, chatbots are of two basic types: conversational and goal-oriented.
Intelligent machines have learned to read and write, recognize images, and predict dangerous mutations. But how does a machine learn to learn in the first place? The art of'learning to learn' (or meta-learning) is now widely recognized as a cornerstone of artificial intelligence research. Over the last few years, the idea of using data to learn the learning algorithms has gained momentum -- and massive computational resources and datasets have made it possible. In 2016, Nando de Freitas, a Senior Fellow in CIFAR's Learning in Machines & Brains program, demonstrated a novel approach to learning to learn.
In the 1970 sci-fi thriller Colossus: The Forbin Project, a computer designed to control the United States' nuclear weapons is switched on, and immediately discovers the existence of a Soviet counterpart. The two machines have become one, and it has mankind by the throat. Development work takes a lot longer than that. Today DeepMind, a London-based subsidiary of Google, announced that it has developed a machine that plays the ancient Chinese game of Go much better than its predecessor, AlphaGo, which last year beat Lee Sedol, a world-class player, in Seoul. The earlier program was trained for months on a massive database of master games and got plenty of pointers--training wheels, as it were--from its human creators.
Gone are the days of guessing what each individual customer wants by researching demographic populations. Take inspiration from some of the largest tech companies like Amazon, Facebook and Google who are investing large amounts of money in machine learning and AI to predict what their customers want before they even know it. Learn how to become a savvier marketer with these suggestions to improve your overall ROI and business performance. By 2018, Gartner predicts that 20% of all business content will be authored by machines. Artificial intelligence will enable content curation by unifying information from diverse datasets, permitting companies to give users more data on usage and other aspects that might interest them from third-party data providers.
Machine learning is a form of artificial intelligence where computers can learn without being explicitly programmed for handling certain tasks by analyzing vast amounts of data in the cloud. And Intuit – the company whose mission is to power prosperity for consumers, small businesses and the self-employed around the world through products like QuickBooks, TurboTax and Mint – isn't new to machine learning. With roughly 100 patents pending and more than 30 machine learning systems in place, the company's 42 million customers worldwide are already reaping the benefits. An example where machine learning is applied to Intuit's software is in the case of the Expense Finder feature in QuickBooks Self-Employed, a product introduced a couple years ago and targeted at the self-employed. Intuit understood that it can be challenging for self-employed professionals such as website designers and Uber drivers to keep track of their personal and business expenses due to complicated tax laws.
Browser extension Data Selfie tracks you while you are on Facebook. The open-source tool helps you learn how machine learning algorithms track your Facebook activity and gain insights into your habits and about your personality. The tool tracks your activity, what topics you look at, what you click on and what you type. It then applies natural language processing and machine learning algorithms from IBM Watson and the University of Cambridge to crunch it and gain insights. These insights are displayed on a dashboard that shows your aggregated Facebook activity in a timeline.
Can artificial intelligence replace the human brain?Will it? "Humans were are not built to spend more than two hours looking at a screen or scrolling through excel sheets. Humans are best at being human. Artificial Intelligence will do the rest." Telling words from Jim Stolze, Co-founder of aigency -- an Amsterdam-based company that recruits AI and humans for work.
After a few applied machine learning problems, you usually develop a pattern or process for quickly getting started and achieving good results. Once you have this process it is trivial to use it again and again on project after project. The more developed your process, the faster you can get to results! Let me give you a head start and teach you a 5-step systematic process that I developed while becoming a machine learning engineer. This step is all about learning more about the problem at hand.
Australian recruiters are already using artificial intelligence (AI) to help build a shortlist of job candidates. Some won't even talk about it, citing a fear of giving away too much to competitors. Other will speak only generally. But Alistair Cox, CEO of recruiting experts Hays, says the human element will always be a part of the process. "It remains incredibly difficult for any machine to analyse the soft skills that remain so crucial to modern business," he says.