Artificial intelligence is changing and improving the ways we manage our money. Research suggests Australians are ready to embrace fintech banking solutions, and the launch of three new London-based chatbot startups may be a sign the rest of the world is gearing up for a revolution too. Artificial intelligence (AI) has been rapidly progressing over the past two decades, with machines reaching and exceeding human performance on an increasing number of tasks. Just this week, the White House released a report entitled Preparing for the future of Artificial Intelligence, which describes the ways in which AI has and continues to yield new opportunities for progress in critical areas such as health, education, energy, and the environment. Another important area of business, ripe for disruption, is finance and banking.

At the Four Seasons hotel in South Korea, AlphaGO stunned grandmaster Lee Sodol at the complex and highly intuitive game of Go. Google's artificially intelligent system defeated the 18-time world champion in a string of games earlier this year. Backed by the company's superior machine-learning techniques, AlphaGo had processed thousands and thousands of Go moves from previous human-to-human games to develop its own ability to think strategically. The AlphaGo games, watched by millions of viewers on YouTube, revealed the ever-increasing power and progress of AI. This contest between man and machine was not the first of its kind.

Orange is a component based data mining and machine learning software suite written in the Python language. It is an Open source data visualization and analysis for novice and experts. Data mining can be done through visual programming or Python scripting. It has components for machine learning. There are add ons for bioinformatics and text mining.

On the west coast of Australia, Amanda Hodgson is launching drones out towards the Indian Ocean so that they can photograph the water from above. The photos are a way of locating dugongs, or sea cows, in the bay near Perth--part of an effort to prevent the extinction of these endangered marine mammals. The trouble is that Hodgson and her team don't have the time needed to examine all those aerial photos. There are too many of them--about 45,000--and spotting the dugongs is far too difficult for the untrained eye. Deep learning is remaking Google, Facebook, Microsoft, and Amazon.

Advanced analytics and other emerging technologies are revolutionizing the way governments and public service agencies are trying to address citizen demands, helping to overcome persistent challenges such as regulatory compliance, outdated legacy IT infrastructures and organizational cultures, according to a new research report from Accenture. The report, Emerging Technologies in Public Service, examines the adoption of emerging technologies across agencies with the most direct interaction with citizens or the greatest responsibility for citizen-facing services: health and social services, policing/justice, revenue, border services, pension / social security and administration. As part of the report, Accenture surveyed nearly 800 public service technology professionals across nine countries to identify emerging technologies being implemented or piloted. These technologies include advanced analytics/ predictive modeling, the Internet of Things, intelligent process automation, video analytics, biometrics/ identity analytics, machine learning, and natural language processing/ generation. The survey found that while more than two-thirds (70 percent) of public sector agencies are evaluating the potential of emerging technologies, only a small percentage (25 percent) is moving beyond the pilot phase to full implementation.

That "galaxy, far, far away" in the famed opening lines of "Star Wars" flicks actually is part of "our reality," according to a commentary released on a key site, KurzweilAI, that deals with artificial intelligence and the like. It's because the newest chapter of the long-running series, "Rogue One: A Star Wars Story," has a robot as a key character. The robot previously was part of the "Imperial Empire" but was captured and reprogrammed to become part of the rebel group that sets out to steal plans for the "Death Star" and uncover a fatal flaw. Jonathan Roberts, a professor of robotics at Queensland University of Technology, warns that robotic technology used in military conflicts could be turned back against those who created and released it. "Without giving away too many spoilers, K-2SO is part of the Rebellion freedom fighter group that are tasked with stealing the plans to the first Death Star, the infamous moon-sized battle station from the original Star Wars movie," he said. "Some robotics engineers and researchers are working on exactly this and have started to develop the algorithms that will enable autonomous military robots to be ethical.

Microsoft Director of Strategic Investments, Limor Lahiani, speaks at Geektime's Techfest in November 2016. Microsoft's director of strategic engagements shows off company's work applying NLP to genetics and other issues impacting humanity Microsoft's director of strategic engagements shows off company's work applying NLP to genetics and other issues impacting humanity The hall of several hundred people listened attentively as the speaker explained in perfectly summarized, yet pointed detail how big data was turning over the biotech industry. She was showing off the way that one of her startups, Miroculus, had begun to use natural language processing (NLP) to match microRNA -- a fraction of DNA that prevents protein production, thus triggering certain genes. "In order to have these genes observable and expressed, there are processes," Limor Lahiani recently said on stage at Geektime's DevFest, describing the process of developing APIs to analyze the corpus of data, manage the extraction, and then classify the information. Lahiani is director of strategic engagements and manager of Microsoft's Partner Catalyst program, a partnership scheme with startups and promising developers to work on cutting edge tech projects.

REVOLVING DOOR -- "Trump appoints his business attorney to manage international negotiations," by CNN's Elise Labott and Teddy Schleifer: "Jason Greenblatt, the executive vice president and chief legal officer for Trump's business empire, will take on the title of special representative for international negotiations. A source familiar with the appointment told CNN that Greenblatt will primarily will be working on Israel-Palestinian peace process, the American relationship with Cuba and trade agreements."

We all love video games, products of the ever-rising entertainment industry that allow us to enjoy our free time without having to leave our homes. Computer games demand intensive computing power, and that's why GPUs exist. But this time AMD, one of the two dominant companies in the sector, has decided to unveil a GPU and software solution to accelerate the cutting-edge AI, machine learning sector. The Sunnyvale-based company will offer a product range comprised of professional-grade GPUs to enter a market that promises to innovate in fields such as transport, logistics, and even art. AMD will release three new solutions during 2017.

Microsoft India is launching a research group that will leverage artificial intelligence to deliver large-scale eye care in collaboration with Hyderabad-based L V Prasad Eye Institute. The Microsoft Intelligent Network for Eyecare (MINE) will work with a consortium of research and technology institutions around the world, including the University of Miami, Federal University of Sao Paulo and Australia's Brien Holden Vision Institute. The idea is similar to Google DeepMind's project, which targets the UK and works with their National Health Services to use artificial intelligence to detect and treat blindness-causing eye diseases. India is a logical jumping-off point for the project, as it is home to some 55 million of the world's 285 million people living with vision impairment. Using Microsoft's cloud platform technology Cortana Intelligence Suite, MINE will collaborate and work from datasets of patients around the world to develop machine learning predictive models for vision impairment and eye disease, with the ultimate goal of eliminating avoidable blindness and scaling worldwide delivery of eye care services.