Dan Hunter is a prison guard's worst nightmare. But he's not a hardened crim. As dean of Swinburne University's Law School, he's working to have most wardens replaced by a system of advanced artificial intelligence connected to a network of high-tech sensors. Called the Technological Incarceration Project, the idea is to make not so much an internet of things as an internet of incarceration. Professor Hunter's team is researching an advanced form of home detention, using artificial intelligence, machine-learning algorithms and lightweight electronic sensors to monitor convicted offenders on a 24-hour basis.

Accurately predicting the time of occurrence of an event of interest is a critical problem in longitudinal data analysis. One of the main challenges in this context is the presence of instances whose event outcomes become unobservable after a certain time point or when some instances do not experience any event during the monitoring period. Such a phenomenon is called censoring which can be effectively handled using survival analysis techniques. Traditionally, statistical approaches have been widely developed in the literature to overcome this censoring issue. In addition, many machine learning algorithms are adapted to effectively handle survival data and tackle other challenging problems that arise in real-world data. In this survey, we provide a comprehensive and structured review of the representative statistical methods along with the machine learning techniques used in survival analysis and provide a detailed taxonomy of the existing methods. We also discuss several topics that are closely related to survival analysis and illustrate several successful applications in various real-world application domains. We hope that this paper will provide a more thorough understanding of the recent advances in survival analysis and offer some guidelines on applying these approaches to solve new problems that arise in applications with censored data.

Dan Hunter is a prison guard's worst nightmare. But he's not a hardened crim. As dean of Swinburne University's Law School, he's working to have most wardens replaced by a system of advanced artificial intelligence connected to a network of high-tech sensors. Called the Technological Incarceration Project, the idea is to make not so much an internet of things as an internet of incarceration. Professor Hunter's team is researching an advanced form of home detention, using artificial intelligence, machine-learning algorithms and lightweight electronic sensors to monitor convicted offenders on a 24-hour basis.

CHENNAI, India, Aug 9 (Thomson Reuters Foundation) - With more than 20 million humans working as modern slaves, a technology developer is hoping artificial intelligence will help clean up the world's supply chains and root out worker abuse. Developer Padmini Ranganathan said mobile phones, media reports and surveillance cameras can all be mined for real-time data, which can in turn be fed into machines to create artificial intelligence (AI) that helps companies see more clearly what is happening down the line. "The time to do this now is better than ever before, with so many countries and companies focusing on modern slavery," she said in an interview with the Thomson Reuters Foundation. "At the start of the decade, the driving force for compliance was fear of being penalised. Now companies are looking at social impact and saying they want to do this."

Artificial intelligence (AI) is quickly coming into its own in terms of use by the legal industry. We are on the cusp of a revolution in the legal profession led by the adoption of AI throughout the legal industry, but in particular by in-house lawyers. Much like how email changed the way we do business every day, AI will become ubiquitous -- an indispensable assistant to practically every lawyer. But what is the future of AI in the legal industry? A bigger question is whether AI will actually replace lawyers as seems to be implicated above (a scary thought if you are new to the profession vs. an old-timer like me).

In 1963, an American attorney named Reed Lawlor published a prescient article in the journal of the American Bar Association. "In a few years," he wrote, "lawyers will rely more and more on computers to perform many tasks for them. They will not rely on computers simply to do their bookkeeping, filing or other clerical tasks. They will also use them in their research and in the analysis and prediction of judicial decisions. In the latter tasks, they will make use of modern logic and the mathematical theory of probability, at least indirectly."

The evolution of global industries to Industry 4.0 (Rev 4.0) is both exciting and scary. Industry 4.0 is the designated code name for a combination of traditional manufacturing practices and industrial processes with technological capabilities, from automation to AI. Whilst there are many benefits of Industry 4.0, there are several key challenges that lie ahead. Having everything attached to everything else in the Internet of things (IoT) is going to monumentally increase the vulnerabilities present in any given network. With more nodes, connections and burden of connectivity, systems are going to have to be more secure. Rev 4.0 will usher in more calls for greater cybersecurity.

Sally Gonzales joined Fireman & Company in May as the Toronto-headquartered legal management consultant's newest senior consultant. Recognised as an authority in knowledge management and strategic technology planning, here Gonzales, who has held senior IT and KM roles at firms including Dentons, Norton Rose Fulbright, Akin Gump and Jones Day, tells us what led to her move to Fireman; how KM has evolved in the legal space; the major KM trends ahead; and discusses some of the biggest questions around AI. "I think we are on the cusp of KM 4.0," she says. What led you on this path to Fireman & Company? I've been fortunate to have a long and stimulating career in KM and IT management, with about 15 years spent in-house in top IT leadership positions at several global law firms, most recently Dentons, and about 18 years consulting to law firms and law departments in the US, Canada, and the UK. I recently returned to the US after two years in London working for Norton Rose Fulbright as KM Program Manager for their global enterprise search implementation. After a brief sabbatical, I knew I wanted to continue consulting and I wanted to find the right team to partner with to focus in on the two areas about which I am most passionate: KM and AI.

A home once built by Texas Gov. Greg Abbott is seen in Austin, Texas, Thursday, Aug. 10, 2017. While serving as state attorney general in 2011, Abbott tore down his Austin home and built the new one. City records show Abbott was allowed to do so as long as he didn't damage the root systems of two large pecan trees, though roots were eventually damaged in the renovations. As governor, Abbott has called tree ordinances like Austin's "socialistic."