Riverview Law provides large corporations with a high quality, fixed priced and proven alternative to using traditional law firms and/or growing the size of their in-house legal function. Using client dedicated teams which combine lawyers, client managers, data analysts and other professionals, Riverview Law helps free the internal legal team so that it can evolve its legal operating mode to focus on higher value added strategic and tactical requirements. Riverview Law has three core offerings. It provides managed service solutions via its Legal Advisory Outsourcing services. It licenses to in-house teams its service delivery and workflow platform, which manages instructions into the function, triage, case management and reporting. It provides barrister-led litigation, risk and compliance advice and support.

A new Federal Government report has outlined the future of Australia's workforce and revealed growing demand for professionals in STEM industries. The report by CSIRO and the Australian Computer Society, titled Tomorrow's Digitally Enabled Workforce, identified six megatrends. The trends include continued advances in automation and artificial intelligence; jobs will be more flexible and agile due to digital technology; a requirement for entrepreneurial skills; and an increase in skills and education requirements for many professions. While the report found that 44% of Australian jobs would be impacted by these changes, Andrew Johnson, CEO of the Australian Computer Society and one of the report's authors, said there are numerous opportunities for engineers. 'The intent of this report is to look at a 15- to 20-year timeframe.

Artificial intelligence has been around for awhile, but in rudimentary forms. But only recently have artificial intelligence developments gotten close to really aiding, and possibly replacing, professionals like attorneys. One of the recent revolutions in AI is the proliferation of successful machine learning. Machine learning allows computer programs to develop independently, through observing, evaluating, and deciding over and over and over again -- getting better each time. IBM's Watson technology, for example, can learn what tastes you enjoy and create brand new recipes based on those.

The field of intellectual property is rapidly evolving, both with respect to the law and the technologies being considered for protection. This session provides a primer about what a patent is, current best practices for protecting speech technologies and defending against assertion, and the recent evolution of intellectual property law in the United States, with emphasis on speech, software user interfaces, and mobile technologies. Fraudsters are using robodialing and ANI spoofing to wreak havoc on call centers. From the illegal practice of toll-free traffic pumping and international revenue-sharing fraud, to the more villainous acts of financial account fraud, identity theft, and drug trafficking, this seminar explores the unusual ways criminals are hacking our businesses. We also examine simple and cost-effective practices to protect our businesses, and our customers.

Apple has revealed a 29 armed robot that can rip apart an iPhone in 11 seconds for recycling. It is hoped the machine will help recycle silver, tungsten and other metals from the handsets. The system started to operate at full capacity last month and can take apart one iPhone 6 every 11 seconds to recover aluminum, copper, tin, tungsten, cobalt, gold and silver parts, according to Apple. The system started to operate at full capacity last month and can take apart one iPhone 6 every 11 seconds to recover aluminum, copper, tin, tungsten, cobalt, gold and silver parts, according to Apple. It has already been installed near Apple's HQ in Cupertino, and it plans to build a second in Europe.

Data can't be racist or sexist, but the way it is used can help reinforce discrimination. The internet means more data is collected about us than ever before and it is used to make automatic decisions that can hugely affect our lives, from our credit scores to our employment opportunities. If that data reflects unfair social biases against sensitive attributes, such as our race or gender, the conclusions drawn from that data might also be based on those biases. But this era of "big data" doesn't need to to entrench inequality in this way. If we build smarter algorithms to analyse our information and ensure we're aware of how discrimination and injustice may be at work, we can actually use big data to counter our human prejudices. This kind of problem can arise when computer models are used to make predictions in areas such as insurance, financial loans and policing.

Apple has come under fire for its use of conflict minerals in iPhones (so have many other device manufacturers, to be fair) before, and the company has just introduced how it aims to reduce its environmental impact. It comes by the way of Liam, a robot that disassembles old iPhones into their core components. The tungsten from the device's alert module will become a cutting tool for example, while the silver contained therein is used for solar panels -- possibly including the ones powering Cupertino's Thailand operations. With the disposable nature of electronics, seeing moves like this is entirely welcome.

The Supreme Court is staying out of a dispute between game maker Electronic Arts Inc. and former National Football League players who accuse the company of using their likenesses in the popular Madden NFL video game series without approval. The justices on Monday let stand an appeals court ruling that said the company's use of the player's likenesses was not protected as "incidental use" under the First Amendment. The former players sued Electronic Arts in 2010 over the company's use of "historic teams" and players in Madden NFL games from 2001 to 2009. The 9th U.S. Circuit Court of Appeals ruled in 2012 that the player lawsuit could proceed. Electronic Arts previously settled a similar case brought by college football and basketball players for 40 million.

Your son is hanging out with friends behind the VR theatre when someone pulls a knife: they're being robbed. He hits a panic button on his phone, and a nearby drone is instantly dispatched. Less than 30 seconds later it's in the alley, sirens wailing and lights flashing, recording everything to be transmitted to the police. The technology for that scenario exists today. Add a dash of image recognition, or take it another step and put a taser (or a miniaturized version of the heat ray) on the device, and you have the automation of emergency response services.

I am a practicing Expert Witness, with report, deposition, and court testimony experience. And I've used that system to automate forensic analysis in the course of my Expert Witness work.An expert system has two main objectives, after capturing a body of expertise in the form of rules: o Provide that expertise in the absence of the expert. However, nothing prevents the creation of expert system rules that do embody such learning behavior, and in fact I often create such rules in the course of my work. Once that happens, I do regard it as AI.A key feature of applying expert systems to legal work is the leverage they provide. If a case involves a large body of code, data, or text, and a judge (who often doesn't understand the technical implications of discovery in such a case) mandates a short deadline for discovery completion, automation is the only way to achieve the needed results. And it's expert systems such as mine that provide that automation.