Cate Lawrence is an Australian tech journo living in Berlin. She focuses on all things mobility: ebikes, autonomous vehicles, VTOL, smart ci (show all) Cate Lawrence is an Australian tech journo living in Berlin. She focuses on all things mobility: ebikes, autonomous vehicles, VTOL, smart cities, and the future of alternative energy sources like electric batteries, solar, and hydrogen. This week farmers found big chunks of metal from a SpaceX Crew-1 Trunk in a remote paddock in rural Australia. While it's not an everyday occurrence, rocket body reentries (parts of space debris returning to Earth) are a trend that's likely to increase. Dr. Brad Tucker, Astrophysicist, and Cosmologist at Mt Stromlo Observatory at the Australian National University, went to check it out.

Detect Technologies announces a global agreement with Vedanta for deployment of T-Pulse, their internationally deployed AI-based workplace safety software. Vedanta Resources Limited is a globally diversified natural resources company and is among the top producers of major commodities, including zinc-lead-silver, iron ore, steel, copper, aluminium, oil and gas. The group engages more than 65,000 employees and contractors, primarily in India, Africa, Ireland and Australia. Managing EHS for such a diverse and spread-out organisation is a massive challenge. Driven by its commitment to GOAL ZERO, Vedanta started exploring AI–based solutions, which can infuse efficiency in this process.

Self-Supervised Learning (SSL) is a new paradigm for learning discriminative representations without labelled data and has reached comparable or even state-of-the-art results in comparison to supervised counterparts. Contrastive Learning (CL) is one of the most well-known approaches in SSL that attempts to learn general, informative representations of data. CL methods have been mostly developed for applications in computer vision and natural language processing where only a single sensor modality is used. A majority of pervasive computing applications, however, exploit data from a range of different sensor modalities. While existing CL methods are limited to learning from one or two data sources, we propose COCOA (Cross mOdality COntrastive leArning), a self-supervised model that employs a novel objective function to learn quality representations from multisensor data by computing the cross-correlation between different data modalities and minimizing the similarity between irrelevant instances. We evaluate the effectiveness of COCOA against eight recently introduced state-of-the-art self-supervised models, and two supervised baselines across five public datasets. We show that COCOA achieves superior classification performance to all other approaches. Also, COCOA is far more label-efficient than the other baselines including the fully supervised model using only one-tenth of available labelled data.

Deep neural networks currently deliver promising results for microscopy image cell segmentation, but they require large-scale labelled databases, which is a costly and time-consuming process. In this work, we relax the labelling requirement by combining self-supervised with semi-supervised learning. We propose the prediction of edge-based maps for self-supervising the training of the unlabelled images, which is combined with the supervised training of a small number of labelled images for learning the segmentation task. In our experiments, we evaluate on a few-shot microscopy image cell segmentation benchmark and show that only a small number of annotated images, e.g.

The implementation of energy communities represents a cross-disciplinary phenomenon that has the potential to support the energy transition while fostering citizens' participation throughout the energy system and their exploitation of renewables. An important role is played by online information sources in engaging people in this process and increasing their awareness of associated benefits. In this view, this work analyses online news data on energy communities to understand people's awareness and the media importance of this topic. We use the Semantic Brand Score (SBS) indicator as an innovative measure of semantic importance, combining social network analysis and text mining methods. Results show different importance trends for energy communities and other energy and society-related topics, also allowing the identification of their connections. Our approach gives evidence to information gaps and possible actions that could be taken to promote a low-carbon energy transition.

RMIT Vietnam, an entity of RMIT University, has campuses in Ho Chi Minh City and Hanoi since 2001. We provide internationally recognised, high-quality, education and professional training for students, clients and the community, and assist in the development of human resources capability in Vietnam and the region by hosting students from Australia and many other countries. The School of Science, Engineering & Technology at RMIT Vietnam is associated with the STEM College of RMIT University Melbourne, delivering the College's award programs and developing research in the field(s) of science, engineering and health. Programs currently taught on the Vietnam campus include the Bachelor of Information Technology, Bachelor of Engineering (Electrical and Electronics), Bachelor of Engineering (Software Engineering), Bachelor of Engineering (Robotics & Mechatronics), Bachelor of Applied Science (Aviation), Bachelor of Applied Science (Psychology), Bachelor of Science (Food Technology and Nutrition, Master of Artificial Intelligence and the Doctor of Philosophy (Engineering) (Electrical and Electronic Engineering). As a senior RMIT Vietnam staff member in Master of AI, the Program Manager (PM) will provide leadership of the Artificial Intelligence discipline across education, research, engagement and administration.

Role requiring'No experience data provided' months of experience in None We're looking for a Build and Release Engineer to join our team as a master of packages and containers who always delivers the goods. A key member of the CI/CD pipeline from planning all the way through deployment, you'll collaborate with other skilled engineers to identify technical needs, develop solutions, and deploy them using the latest tools available. Sure, you'll use your head to build and maintain the tools, infrastructure, and processes that directly impact our development teams and customers. But you're a developer at heart, and this is a role in which you'll craft code aplenty and keep your finger on the pulse of modern software build engineering practices. Inductive Automation is an innovation company. We are champions for industrial automation software, and we believe in building sensible solutions that provide value for our customers. Our workforce shares a passion for technology.

In a recent filing, Microsoft told New Zealand's Commerce Commission that Blizzard Activision produces no "must-have" games. Weird thing to say when the company plans to spend $68.7 billion to buy the gaming giant behind Call of Duty, Overwatch, Diablo, World of Warcraft and plenty more. In the document, Microsoft said: "There is nothing unique about the video games developed and published by Activision Blizzard that is a'must have' for rival PC and console video game distributors that give rise to a foreclosure concern." Attempting to downplay the importance of Call of Duty is just one of the ways Microsoft has tried to placate regulators. In February, the company pledged it would continue to make the franchise available on PlayStation consoles beyond any existing agreements between Sony and Activision. Apple's 10.2-inch iPad is back on sale for $300 at Amazon Sony is retiring the PlayStation 5's Accolades feature because people aren't nice An e-bike- and scooter-sharing startup co-founded by Olympian Usain Bolt appears to have stopped operations.

Proxymity is bringing technological innovation to the market infrastructure of a long -established sector--Proxy Voting, Shareholder Disclosure, and Identification. Founded in London and spun out of Citi, from very beginning our mission focused on benefitting the whole ecosystem, rather than just one part or one player within it. This ethos is endorsed by investment from a unique and global consortium of the industry's most influential financial institutions. We currently serve 29 markets and are growing our global footprint fast. With offices in UK, Israel and Australia, our Proxymity Shareholder ID and Vote Connect products can serve all markets globally, with our flagship Vote Connect Total product providing complete end-to-end digital connectivity in 12 key markets around the world.

The manufacturing industry includes a broad range of businesses varying in size, from small manufacturers producing limited quantities of items to multi-national organisations involved in the large-scale production of manufactured goods. This industry encompasses manufacturers of food and beverages to textiles, chemical manufacturing and even heavy machinery. As an industry, manufacturing contributes around $100 billion to the Australian GDP annually (ABS, 2020). Thus, an industry with such varying degrees of complexity, breadth and scale is one that seeks to maximise the broad benefits of cloud technologies. Regardless of the end product, commonly faced challenges experienced within the manufacturing industry include innovation, risk management, operational efficiency and cost optimisation, remaining sustainable and time to market.