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In this podcast Shona Bass chats with Kathy Walker who designed and researched the Walker Learning Approach using the theory and understandings of children’s development, behaviour, psychology & best practice in teaching and learning to individualise learning opportunities for children. Join today and you can easily save your favourite articles, join in the conversation and comment, plus select which news your want direct to your inbox. Jeremy Howard was on a train late last year to Glen Park, a neighbourhood of San Francisco thatA borders a canyon full of eucalyptus trees, when someone asked him for a photograph. Howard, who has a froth of curls and a humble manner, is an unlikely rock star a€“ a comment first made about him at a November 2015 conference about the technological revolution in healthcare.He appears deeply relaxed, as if he has just finished meditating, with the quiet, precise voice of someone who doesn't need to raise it to be heard. But his new company Enlitic is pioneering an approach to medicine thatA uses "deep learning" a€“ a game-changing computer technology based on how the human brain operates a€“ to identify cancers in radiology scans faster and more accurately than experienced radiologists.That's just the first step for Enlitic's technology, which Howard says can be applied to just about any disease. I had what turned out to be a weird or different way of tackling every problem given to me.
Enlitic's technology might be described as a tool for doctors, but Howard believes the machine-learning experts who tell him there will one day be nothing computers can't do, putting all jobs at risk. The focus of this podcast is on Class Meetings in Years 3-8 and highlights the most frequently asked questions and additional tips and strategies related to implementing the Class Meeting.
The 42-year-old digital entrepreneur, who grew up in Melbourne, was heading home after catching up with a friend who had teased him about being a "rock star".And now this stranger was saying he was upset he couldn't attend a talk which Howard was giving.
Tests are reportedly showing promising results in detecting a range of fractures, non-cancerous masses such as kidney stones and more.

A The company that successfully pioneers a data-driven approach to medicine a€“ in which machines improve detection and diagnosis of disease a€“ will, Howard believes, be the field's Google. There will no longer be work for humans a€“ or, as Howard prefers to approach it, humans will no longer need to work."At some point," he says, "clearly computers will do everything that people do, with a few exceptions that are by definition impossible to replicate. On his final report a€“ after he had received one of the state's highest VCE scores a€“ his headmaster remarked they had no idea that Howard was smart."I wasn't interested in just following the rules and doing what I was told," he says. The joy of watching a great sportsperson, for example, cannot be dulled by knowing the robot can do the task better. The program usesA its artificial "brain"A to identify what it judgesA to be similar-looking areas a€“ cancer nodules a€“ in the remaining images.2. He made his first $1000, aged 12, selling pirated computer games through theA Trading Post. We enjoy performing and watching sport because of the joy of human performance."He describes the 2002 novel Manna, by the futurist Marshall Brain, about a world in which computers have largely replaced workers. He spent the money on Mars Bars, meat pies, slurpies and arcade games.Hired by McKinsey at age 18, the self-taught computer programmer turned heads with his data analysis programs. In the US, robots have corralled unemployed humans in giant buildings, providing enough food for sustenance.
A few errors a€“ false positives or negatives a€“ are corrected by a human and the algorithm churns away again.

I never told it how to work."Enlitic's technology will debut internationally in the Australian clinics of Capitol Health in July, where it will assist radiologists, not replace them. Radiological tests account for more than $2 billionA of Australia's Medicare budget, with about 33.6 millionA scans taken in 2014-15.
The more images it scans, the more it "learns" and the more accurate its performance becomes. It's also lightning fast, finding every abnormality in 0.02 seconds, compared to up to 20 minutes for a human.
One human could take 1282 years.Further ahead, Howard wants to team the technology with hand-held radiology scanners for the billions in the developing world with scant or no access to such diagnostic services. Capitol A managing directorA John Conidi says Howard and Enlitic are "democratising healthcare", hailing him as a genius and a visionary. Howard says the radiologists he's spoken to have been "unanimously thrilled" at their new tool.Natalia Vukolova, chief executiveA of the Royal Australia and New Zealand College of Radiologists, tells Fairfax Media that new technology can enhance radiology services.

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