Artificial intelligence (AI) is the enabling of machines to "think" like humans. The ability of AI to make data-driven decisions (pattern recognition) and to identify shared characteristics among data points are especially relevant to medicine (data mining). Spurred on by the explosive expansion of the Internet of Things (IoT) and the decreasing cost of cloud storage and computing, the AI health-care market is likely to exceed $34 billion by 2025, according to a report by Tractica. In this article, we will explore the ever-expanding application of AI in medical diagnosis, drug and device development, and operational improvement. IBM's Watson was the first AI platform to enter the field of medical research.

New Zealand is a leader in government use of artificial intelligence (AI). It is part of a global network of countries that use predictive algorithms in government decision making, for anything from the optimal scheduling of public hospital beds to whether an offender should be released from prison, based on their likelihood of reoffending, or the efficient processing of simple insurance claims . But the official use of AI algorithms in government has been in the spotlight in recent years .

Domino's Pizza has introduced a pizza checker enabled by artificial intelligence in a move designed to tackle a frequent complaint from customers: that the pizza they receive does not closely resemble the image of the pizza they ordered. The DOM Pizza Checker uses a smart scanner that sits above the pizza cutting bench and checks the quality of every pizza. I It is now operating in all Domino's stores across Australia and New Zealand. The system has been developed by Domino's and Perth based Dragontail Systems. Source: Domino's delivers artificially intelligent pizzas

The first time you see a strange robot walking down your street, it might be delivering a parcel. That's the future envisioned by Ford in a new research project that explores how robots and self-driving cars could work together to deliver groceries, fast food, and more. The robot in question is called Digit, and it stands just over five feet tall. It has a pair of skeletal legs, two arms ending in shapeless nubs, and a sensor array where its head should be. It's the creation of startup Agility Robotics, which has been developing bipedal robots since 2015 when the company was spun out of research from Oregon State University.

The Union agriculture ministry is looking at algorithms to fix delays in paying farmers their claims under the Pradhan Mantri Fasal Bima Yojana (PMFBY), a major issue hobbling the flagship crop insurance scheme. The government is experimenting with big data analytics, artificial intelligence (AI) and machine learning to quicken assessment of crop damage, a lengthy and often disputed mechanism, people familiar with the matter said. If the PMFBY is to achieve its most critical goal -- timely payouts to farmers -- it can't fly without a raft of high-end technological fixes, experts say. Analysing the scheme's design in his recent work'Supporting Indian Farms the Smart Way', economist Ashok Gulati predicted that, for prompt crop insurance settlement, India could even need a fleet of cloud-penetrating satellites for faster crop-loss estimates. Setting up such a constellation would likely cost Rs 2,000 crore, according to Gulati's calculations.

The world is changing and insurance is changing with it. This change is being driven by customer expectation and technological advancement. To be competitive, insurance companies need more customer insights, and the ability to turn these insights into actions, which requires focused effort and expertise. Many insurance companies struggle in this area which is why insurtech start-ups play a key role. They are able to move faster and identify these gaps and provide solutions.

GSMA Director General Mats Granryd outlines 5G's brisk growth since the beginning of 2018, and shares his excitement about how the combination of intelligent connectivity will create smarter applications that make life better and safer. I ntelligent connectivity enables transformational capabilities in transport, entertainment, industry, and much more. For technical systems to digitally match human actions with connected environments, however, they must meet the speed of our natural reaction times. They will also rely on cost-effective edge infrastructure to enable scaling. According to GSMA, 5G could account for as many as 1.4 billion connections by 2025.

The threat to workers' current jobs is inescapable when it comes to AI and automation. While business leaders are fully charged to cultivate enormous cost savings from AI, employees are terrified of losing their jobs as a result. Industry reports claim 70% of HR executives expect AI to result in significant job losses in Asia over the next five years. Fear of redundancy is a key concern for employees today, and few companies have a clear understanding of how to manage this concern. We are about to witness a significant decrease in trust not only between employees and employers, but among employees themselves, as revealed in our recent report.

It's 7.40am on Monday morning and Stiofan Sexton is about to do something he has never done before – and he doesn't even know it. Waiting on the platform at Sydney's Chatswood station, he is one of the first thousand passengers on the new fully driverless Metro Northwest in its first weekday rush-hour test. He used to take a slow bus up to work in North Ryde. Now he steps on to a carriage that goes up to 100km/h, along a 66km track, with service every four minutes, all run by a single computer. Asked by Guardian Australia how he feels about the fully automated train, he says he did not realise it was.

DescriptionTo attend this event, you are required to purchase a ticket using the WeChat QR code and to register on the Hardware Massive page. QR payment number: 201807 Registration Price: 90 RMB Early Bird Registration Price (until May 26, Sunday): 60 RMB In this talk, Linda will show examples of people creating artificial intelligence robotics systems with low-cost electronics to create amazing results. Traditionally engineers have written very specific instructions telling robots what to do at every step. But now with artificial intelligent robotic systems, you can use input data from a person manually operating a system, then use this input data to make a "learning set" which the robot will use to shape its behaviour. We are moving from a new paradigm in robotics behaviour from programming to training.