Forgotten memories have been reawakened in mice with Alzheimer's disease, suggesting that the condition may not actually destroy our memories, but instead impair our ability to recall them. It has long been assumed that Alzheimer's disease completely erases memories. The condition involves clumps of proteins known as amyloid plaques and tau tangles accumulating in the brain, where they are thought to destroy the neurons that store our memories. But experiments by Christine Denny at Columbia University and her colleagues suggest that memories may not be wiped by Alzheimer's disease, but instead become harder to access. What's more, these memories can be reawakened by artificially activating the neurons they are stored in. The finding could be revolutionary, says Ralph Martins at Edith Cowan University in Australia.

Data 61 has an exciting opportunity for a Senior Research Scientist to help discover the next generation of machine learning algorithms. The machine learning team is currently building novel technologies for data integration and machine learning on large scale graphs. We are seeking candidates with expertise in machine learning, graph algorithms, deep learning using highly structured data, active learning, online learning, manifold and spectral learning, large scale graph algorithms, distributed algorithms, or frequent graph pattern mining. The Senior Research Scientist will contribute and collaborate with the wider research community by publishing papers in top machine learning forums, as well as contributing to the technological direction of real world projects and finding solutions to some of the most challenging technical problems. Location: Eveleigh Sydney preferred, may consider Canberra ACT Salary: AU$127K - AU$141K plus up to 15.4% superannuation Tenure: 3 year specified term Reference: 43886 At the Commonwealth Scientific and Industrial Research Organisation we do the extraordinary every day.

As self-driving cars are being tested everywhere from the US to South Korea, Germany to Australia, reports today make it clear that it won't be happening in India. The country's transport and highways minister, Nitin Gadkari told reporters today, "We won't allow driverless cars in India. I am very clear on this." Rather, the minister's rejection of self-driving vehicles is about the jobs they would take away from drivers in the country. "We won't allow any technology that takes away jobs. In a country where you have unemployment, you can't have a technology that ends up taking people's jobs," said Gadkari.

Both Microsoft and Google envision a not-so-distant future in which donning smart headgear to repair an elevator or assemble a tractor motor is the norm. Over the past several days, both tech giants have revealed they're each taking concrete and compelling steps to make that happen. Microsoft just revealed that it's working on a new artificial intelligence chip to power its second-generation HoloLens headset. The coprocessor's chief job will be implementing deep neural networks -- a machine learning technique with a structure that loosely resembles the human brain -- into the HoloLens' core processing unit. A dedicated A.I. chip is necessary for a gadget like the HoloLens, says Microsoft, which must be able to comprehend large amounts of complex data gathered by its depth and camera sensors without latency.

In fact, it's about a thousand of them, give or take a few. An experiment using fake ducks to stand in for the real thing has found that when it comes to counting birds, drones beat humans. Jarrod Hodgson and his colleagues at the University of Adelaide in Australia had previously used aerial images from drones to count seabirds and found that the drones had a more comprehensive view of the colonies than the people trying to count them on the ground. However, neither could provide an exact count of the number individual birds. "We couldn't test for accuracy," says Hodgson.

Did you know that Artificial Intelligence (AI) will bring us self-driving cars within 5 years and that these cars will simply drop us off at our destination and then go to find a parking spot, without us? Or that an AI start-up in Montreal has developed AI technology that can mimic any voice, after listening to it for just 60 seconds? AI is moving out of laboratories and sci-fi novels and into the realm of ordinary people, and we will live differently because of it – the story of the Internet tells us this. But will we market our products and services differently because of AI? According to research by Demandbase, 80% of marketing executives believe that AI will revolutionize their field by the year 2020.

Robot Academy is an online platform that provides free-to-use undergraduate-level learning resources for robotics and robotic vision. The content was developed for two 6-week Massively Open Online Courses (MOOCs) that Corke taught in 2015 and 2016. This content is now available as individual lessons (over 200 videos, each less than 10 minutes long) or in masterclasses (collections of videos, around 1 hour in duration, previously a MOOC lecture). Unlike a MOOC, all lessons are available all the time. While the content is typically designed for undergraduate-level students, around 20% of the lessons require no more than general knowledge.

The Australian wine industry is turning to artificial intelligence to streamline its manufacturing. South Australian tech firm Ailytic has developed an artificial intelligence (AI) program to significantly increase production efficiency by optimising machine use. It uses an AI technique called'prescriptive analytics' to account for all the variables that go into mass-producing wines such temperature, wine changeover and inventory. The program then creates the best possible operation schedule, allowing companies to save considerable time and money. Ailytic's list of clients includes world-renown wine companies such as Pernod Ricard, Accolade Wines and Treasury Wine Estates.

Identifying and pinpointing potential network failures and performance issues has long been a matter of educated guesswork, but an emerging generation of predictive analytics tools promises to bring greater accuracy to network reliably forecasts, allowing staff to address and remedy specific issues even before they can even begin affecting network operations. Predictive analytics is a game-changer, giving CIOs the ability to literally look into the future. "There is a growing need for networks to adapt to dynamic application demands as well as address dynamically to special events, seasonality and so on," says Diomedes Kastanis, head of technology and innovation for Ericsson. "Although we have a lot of automation systems and rules to manage and operate networks, it still it not enough to cope with the intense changing environment and proactively adapt to changing demands." Predictive analytics incorporating processes such as machine learning (ML) and artificial intelligence (AI) are relatively new concepts to many CIOs.

Immigration from Mexico--both legal and illegal--has been declining for over a decade. Driscoll's is so secretive about its robotic strawberry picker it won't let photographers within telephoto range of it. But if you do get a peek, you won't see anything humanoid or space-aged. AgroBot is still more John Deere than C-3PO -- a boxy contraption moving in fits and starts, with its computer-driven sensors, graspers and cutters missing 1 in 3 berries. "We don't see -- no matter what happens -- that the labor problem will be solved," said Soren Bjorn, president of Driscoll's of the Americas.