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PhD top-up scholarship in Artificial Intelligence - RMIT University

#artificialintelligence

An exciting opportunity is available for a PhD candidate to undertake a research project in modelling autonomous behaviours, testing and verification of agent designs, explaining autonomous behaviour, or designing reusable simulation models. This scholarship is valued at up to $5000 per annum for up to 3 years. Students with an approved Australian Postgraduate Award (APA) or other postgraduate stipend are eligible for the top-up scholarship. Applicants should contact Associate Professor John Thangarajah to discuss their eligibility and the topic/area of prospective research (see further information below). These scholarships are most suited for those who plan to apply for an APA.


Queensland AI startup TrademarkVision lands European Union as customer

ZDNet

Queensland-based image-recognition startup TrademarkVision has landed the European Union Intellectual Property Office (EUIPO) as the first customer of its new deep learning algorithm. Following a successful beta trial, the EUIPO will now be integrating TrademarkVision's new deep learning algorithm into its eSearch platform to cut down the time it takes to search EU image trademarks. Previously, trademark searches and monitoring required the use of descriptive -- and therefore subjective -- keywords and codes, making it a tedious process with no guarantee of generating accurate results. "When you come across a logo, it's easy to compare it with your own, but when you want to compare it to millions, suddenly the task becomes very daunting," said TrademarkVision's founder and CEO Sandra Mau. "For anyone who has ever wanted to create a unique logo or ensure their IP is safe from possible infringement, they know this process can take hours, days, and sometimes weeks."


Multi-Shot Person Re-Identification via Relational Stein Divergence

arXiv.org Machine Learning

Person re-identification is particularly challenging due to significant appearance changes across separate camera views. In order to re-identify people, a representative human signature should effectively handle differences in illumination, pose and camera parameters. While general appearance-based methods are modelled in Euclidean spaces, it has been argued that some applications in image and video analysis are better modelled via non-Euclidean manifold geometry. To this end, recent approaches represent images as covariance matrices, and interpret such matrices as points on Riemannian manifolds. As direct classification on such manifolds can be difficult, in this paper we propose to represent each manifold point as a vector of similarities to class representers, via a recently introduced form of Bregman matrix divergence known as the Stein divergence. This is followed by using a discriminative mapping of similarity vectors for final classification. The use of similarity vectors is in contrast to the traditional approach of embedding manifolds into tangent spaces, which can suffer from representing the manifold structure inaccurately. Comparative evaluations on benchmark ETHZ and iLIDS datasets for the person re-identification task show that the proposed approach obtains better performance than recent techniques such as Histogram Plus Epitome, Partial Least Squares, and Symmetry-Driven Accumulation of Local Features.


Semi-automated vehicle trials 'a success' on Melbourne's EastLink

ZDNet

The first successful trials of semi-automated vehicles have just been completed on Melbourne's EastLink with the Volvo S90 driving on its own in live traffic, the Australian Road Research Board (ARRB) has said. The trial forms part of an 18-month research project that aims to enable Victorian drivers to safely commute on the tollway with their hands off the wheel by 2018. NBN connection process adversely impacting 40 percent of businesses: ACMA Dump innovation patents and apply safe harbour to all online services: Productivity Commission Former CBA IT exec sentenced to 3.5 years behind bars Australian data re-identification defendants will need to prove their innocence Former CBA IT exec sentenced to 3.5 years behind bars The research project is being led by ARRB, with support from EastLink and La Trobe University, thanks to AU$578,000 in funding provided by the VicRoads Intelligent Transport System (ITS) Grants Program. The project has been broken down into three stages, with the first to develop a "first of its kind" classification system for assessing Australian roads based on the level of automated vehicle features they support. The ARRB said that in the second half of 2017, stage two will see the testing of a range of Cooperative Intelligent Transport Systems (C-ITS) technologies that allow communication between vehicles and road infrastructure.


IT scholarships: Paying for a degree in information technology

ZDNet

Today, 43 million Americans hold an average of nearly $40,000 in student debt each –– and that number continues to grow every year. Scholarships help students earn a degree with less debt. Instead of feeling saddled by student loans for decades, scholarship recipients enter the workforce with more financial freedom. As demand for tech professionals continues to grow much faster than average, scholarships help students complete their IT degrees. Major tech companies, professional associations, and other organizations offer scholarships for IT students. These scholarships come with a variety of eligibility requirements and include need-based and merit scholarships. Many information technology scholarships also support groups that are underrepresented in IT, including women, Black, Latino/a, and Indigenous professionals. This guide introduces a selection of the many information technology scholarships available for students.