Deep learning has emerged as a pivotal tool for accelerating research in the life sciences, with the low-level processing of biomedical images (e.g., registration, fusion, restoration, super-resolution) being one of its most critical applications. Platforms such as ImageJ (Fiji) and napari have enabled the development of customized plugins for various models. However, these plugins are typically based on models that are limited to specific tasks and datasets, making them less practical for biologists. To address this challenge, we introduce Orochi, the first application-oriented, efficient, and versatile image processor designed to overcome these limitations. Orochi is pre-trained on patches/volumes extracted from the raw data of over 100 publicly available studies using our Random Multi-scale Sampling strategy.

One of these mysterious sharks was spotted 2,300 feet deeper than scientists expected. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The goblin shark was first described in 1898. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

The process is 75 percent more energy efficient--and makes a great cup of joe. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The new method makes espresso in less than three minutes. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

Canada is proposing a social media ban for children and teenagers under the age of 16, mirroring a similar law passed in Australia late last year. But unlike Australia's law, tech firms could sidestep Canada's ban if they demonstrate they have policies to minimise harm to minors. The law includes sweeping measures to regulate AI chatbots and curtail harmful content online. It would create a regulator to ensure tech firms comply. Some free speech groups have warned it would expand censorship.

Deep learning has emerged as a pivotal tool for accelerating research in the life sciences, with the low-level processing of biomedical images (e.g., registration, fusion, restoration, super-resolution) being one of its most critical applications. Platforms such as ImageJ (Fiji) and napari have enabled the development of customized plugins for various models. However, these plugins are typically based on models that are limited to specific tasks and datasets, making them less practical for biologists.

This post contains a list of the AI-related seminars that are scheduled to take place between 1 June and 31 July 2026. All events detailed here are free and open for anyone to attend virtually. Franco Accordino and Monika Lanzenberger (European Commission) The Digital Humanism (DIGHUM) Initiative The talk will be livestreamed on YouTube here . K Madhava Krishna (IIIT Hyderabad) Robotics Café The Google Meet link is here . Gianfranco Polizzi (University of Birmingham) Raspberry PI Sign up here to join.

Data stream mining is fundamentally challenged by concept drift, where distributional changes can degrade model performance. Despite the proliferation of drift detection methods, progress in the field is hindered by inconsistent evaluation practices: studies rely on oversimplified synthetic data generators, adopt incompatible metrics, and lack transparency in hyperparameter selection, making fair comparisons difficult. We address this gap with a novel benchmarking framework comprising three contributions: (1) a drift simulation method that injects controlled distributional changes into real-world datasets via Monte Carlo trials, enabling supervised evaluation while preserving real-world data complexity; (2) an evaluation protocol for drift detection with timing-aware criteria, including the derivation of new metrics (e.g., F1 detection score, normalized detection time) that are comparable across streams; and (3) we advocate for a leave-one-dataset-out hyperparameter optimization protocol for drift detection methods that promotes configuration robustness across heterogeneous stream dynamics. We benchmark 14 widely used drift detection methods on 7 realworld datasets across 4 drift types (class prior, label swap, feature permutation, feature filtering), each under both abrupt and gradual transitions. Our experimental results provide insights into the strengths and weaknesses of current drift detection approaches while establishing baseline performance metrics for future research in this area. All code and experiments are publicly available.

From digital twins to models'sculpted' by programmers, generative AI has been popping up all over the fashion industry. When an Australian e-commerce retailer started using AI-generated models to sell products, lifestyle editor Alyx Gorman had to see if the garments were more than mere pixels. The Iconic, which sells the dress worn in this video, said in a statement: 'Where AI-generated imagery is used to advertise products for sale on our platform, our expectation is that it is clearly labelled and that the product itself is represented as accurately as possible for customers.' Meanwhile, Atoir, the designer, said: 'The Australian fashion industry is highly competitive, particularly for independent brands. We believe that when used responsibly, tools like this can help smaller businesses to operate with greater agility while still maintaining the creative standards and product integrity that matter to both the brand and the customer.'

Abi uses AI and machine learning to interact with aged care and assisted living residents. Abi uses AI and machine learning to interact with aged care and assisted living residents. An industry targeting Australia's ageing population is growing, but can AI deliver more humanity in aged care? While companion robots are being introduced and virtual experiences hope to'take loneliness away', one expert agrees tech should never replace the human element "You'll never get rid of humans," Prof Wendy Moyle says, during a discussion about robots and other technology in aged care and residential homes. Then, a beat later, she adds: "Well, I don't we'll get rid of humans."

Defense Minister Shinjiro Koizumi speaks to reporters as New Zealand defense chief Chris Penk (left) and Australian Defense Minister Richard Marles listen on the sidelines of the Shangri-La Dialogue security summit in Singapore on Saturday. Held on the margins of the Shangri-La Dialogue security forum in Singapore on Saturday, the meeting came as Wellington actively evaluates purchasing the same class of advanced warships that Japan recently sold to Australia, in order to maintain interoperability with its sole formal defense ally. In a time of both misinformation and too much information, quality journalism is more crucial than ever. By subscribing, you can help us get the story right. With your current subscription plan you can comment on stories. However, before writing your first comment, please create a display name in the Profile section of your subscriber account page.