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."

You will learn the main data structure in R, Managing Data with R, Exploring and Understanding Data in R (exploring numeric variable, categorical variable and relationship between variables). Moreover, audience learn how to use some of the main packages in R. You will learn different types of machine learning algorithms and how they work and how they can solve different type of real life problems. At the end of this module you will able to choose right algorithm for right problem.

Sure, Amazon made its first drone delivery last week, but 7-Eleven already has it beat. Today, the convenience store company announced that it has already made a total of 77 deliveries by drone in the state of Nevada. Of course the caveat here is that 7-Eleven relied on Flirtey, a drone delivery service company that's already made a name for itself by delivering Domino's in New Zealand and textbooks in Australia. It also made the first FAA-approved urban drone delivery earlier this year. Though the deliveries kicked off in July, it was in November when the company started making regular weekend deliveries from a 7-Eleven store to about a dozen customers.

Yoo Kwang-yeol, commissioner of the Korea Financial Intelligence Unit, said his agency is currently working to upgrade the main system that stores and analyzes information regarding hundreds of millions of financial transactions in order to increase accuracy of capturing suspicious transactions out of normal ones. "We are considering an uptake of the artificial intelligence technology to improve the current intelligence system by benchmarking advanced systems in countries like Australia and Canada," Yoo said in an interview with The Korea Herald. Yoo Kwang-yeol, commissioner of Korea Financial Intelligence Unit speaks during an interview at his office in Gwanghwamun, central Seoul, Dec. 6. Ahn Hoon/The Korea Herald For this, a group of KOFIU experts paid a trip to Australia earlier this month to learn from the Australian financial intelligence system. "AI can help improve efficiency of sorting out suspicious financial transactions and accuracy of analyzing related account information," Yoo said.

We study the complexity of the problem of searching for a set of patterns that separate two given sets of strings. This problem has applications in a wide variety of areas, most notably in data mining, computational biology, and in understanding the complexity of genetic algorithms. We show that the basic problem of finding a small set of patterns that match one set of strings but do not match any string in a second set is difficult (NP-complete, W[2]-hard when parameterized by the size of the pattern set, and APX-hard). We then perform a detailed parameterized analysis of the problem, separating tractable and intractable variants. In particular we show that parameterizing by the size of pattern set and the number of strings, and the size of the alphabet and the number of strings give FPT results, amongst others.

Evernote reverses course on opt-out privacy policy that would've exposed users' content to ... How today's machine learning systems could spot another FX or Libor scandal Evernote backs off from privacy policy changes, says it'messed up' Australia's NCI gets supercomputing systems from IBM for AI and analytics Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

For a change, Kevin Sanders has decided to let someone, or more accurately, something else count the apples in his orchard. This isn't the first time his idyllic farm down in Australia's Yarra Valley has played host to robots and their handlers, so Sanders knows what to expect. Moving soundlessly down the corridors between trees, an electric robot will scan each plant, identifying individual fruit and flowers. An algorithm is then used to classify and count the apples in each image and provide a yield estimation, a critical figure for farmers that will inform Sanders' plans to manage his orchards and the harvest. A fourth generation farmer, Sanders and his brothers have an interest in innovation that has created an unconventional operation.

The National Computational Infrastructure (NCI), Australia's national research computing service, has purchased four IBM Power System servers for high performance computing in a bid to advance its research efforts through artificial intelligence, deep learning, high performance data analytics, and other compute-heavy workloads. With 35,000 researchers in total on its books, the NCI operates as a formal collaboration of the Australian National University, the Commonwealth Scientific and Industrial Research Organisation (CSIRO), the Australian Bureau of Meteorology (BOM), and Geoscience Australia, as well as through partnerships with a number of research-intensive universities that are supported by the Australian Research Council. Turnbull's agile struggle is all glitz and no grunt Australian government to continue focus on digital delivery in 2017 Australian ISPs to block piracy sites from the pocket of content owners TPG outbids MyRepublic to snag Singapore's fourth telco license Turnbull's agile struggle is all glitz and no grunt Friday's announcement follows a development process NCI undertook with the IBM Australia Development Laboratory and its Linux and Open Technology team. According to NCI, the development lab provides OpenPower development capability and locally develops IBM's Power System firmware, with the decision to purchase the new servers strongly influenced by its direct access to the local IBM Power development team, NCI said. "In order to tackle the challenges of today's world -- from cancer to climate change -- organisations need accelerated computing that can drive big data workloads," said Mike Schulze, director for IBM Australia Development Laboratory. "NCI plays a critical role in supporting some of Australia's largest research projects, and this new system and architecture will be key for it to achieve higher levels of performance and greater computing efficiency."

Australia's NCI gets supercomputing systems from IBM for AI and analytics Civilization's Giant AI Battle Royale Died, Returns Way Better What the heck is machine learning, and why should I care? Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

Autonomous cars will begin travelling on CityLink and the Monash and Tullamarine freeways in Victoria, Australia next year. Beginning in March, the trial will monitor how the cars interact with real-life road conditions such as overhead lane signals, electronic speed signs, and line markings. The cars will also be trialled in semi-autonomous mode with drivers inside and capable of taking the steering wheel if needed to prevent accidents. Australian government to continue focus on digital delivery in 2017 Australian ISPs to block piracy sites from the pocket of content owners TPG outbids MyRepublic to snag Singapore's fourth telco license NBN equity to cost government cash balance AU$2.1b annually by 2027 NBN equity to cost government cash balance AU$2.1b annually by 2027 The trial is expected to take up to two years and will be managed by tolling company Transurban, CityLink's owner. It's also expected that road users will need to wait at least 10 years before they can own a driverless car given the technology being tested is in its infancy.