Oceania
Why random lines of video game dialogue get stuck in our heads
S ome snippets of video game dialogue, like classic movie quotes, are immediately recognisable to a swathe of fans. From Street Fighter's "hadouken!" to Call of Duty's "remember, no Russian" to BioShock's "would you kindly?", there are phrases so creepy, clever or cool they have slipped imperceptibly into the gaming lexicon, ensuring that whenever they're memed on social media, almost everyone gets the reference. But there are also odd little phrases, sometimes from obscure games, that stick with us for seemingly no reason. I recall most of the vocal barks from the second world war strategy game Commandos: Behind Enemy Lines, even though I haven't played it for 20 years. Why is it that I'll lose my headphones, wallet and phone on a daily basis, but I have absolute recall when it comes to the utterances of burly soldier Samuel Brooklyn?
Nvidia boss 'disappointed' by reported China chip ban
Nvidia boss'disappointed' by reported China chip ban The boss of Nvidia says he is disappointed that China has reportedly ordered its top technology companies to halt purchases of the firm's artificial intelligence (AI) chips. Jensen Huang added he would be patient in response to the move from China's internet regulator. There are a lot of places we can't go to, and that's fine, he told reporters on Wednesday. Mr Huang is one of a number of tech bosses, including Microsoft's Satya Nadella, accompanying US President Donald trump on his state visit to the UK. Nvidia - the world's leading chipmaker - had previously been banned from selling its most advanced chips to China, before Trump reversed the ban in July.
This Giant Subterranean Neutrino Detector Is Taking On the Mysteries of Physics
Located in China, Juno is a 17-country collaboration that will try to detect neutrinos and antineutrinos to learn more about their mass. Juno's sphere (bottom left) and photomultipliers (top right) for neutrino detection. Located 700 meters underground near the city of Jiangmen in southern China, a giant sphere--35 meters in diameter and filled with more than 20,000 tons of liquid--has just started a mission that will last for decades. This is Juno, the Jiangmen Underground Neutrino Observatory, a new, large-scale experiment studying some of the most mysterious and elusive particles known to science. Neutrinos are the most abundant particles in the universe with mass.
Ben & Jerry's co-founder quits over social activism row
Ben & Jerry's co-founder quits over social activism row Ben & Jerry's co-founder Jerry Greenfield has left the ice cream maker after almost half a century at the firm, deepening a dispute with parent company Unilever. In a letter shared on social media by fellow co-founder Ben Cohen, Mr Greenfield said the Cherry Garcia maker had lost its independence after Unilever put a halt to its social activism. His exit marks the latest episode in a row that started in 2021 when Ben & Jerry's said it would stop selling its ice cream in Israeli settlements in the occupied West Bank and East Jerusalem. A spokesperson for The Magnum Ice Cream Company, which is being spun off from Unilever, said it was grateful to Mr Greenfield but disagreed with his stance. In his letter Mr Greenfield said leaving the firm was one of the hardest and most painful decisions he had ever made but he could no longer in good conscience work for a business that had been silenced by Unilever.
ChatGPT developing age-verification system to identify under-18 users after teen death
OpenAI will restrict how ChatGPT responds to a user it suspects is under 18. OpenAI will restrict how ChatGPT responds to a user it suspects is under 18. Sam Altman said if there is doubt the system will default to the under-18 experience putting'safety ahead of privacy and freedom for teens' OpenAI will restrict how ChatGPT responds to a user it suspects is under 18, unless that user passes the company's age estimation technology or provides ID, after legal action from the family of a 16-year-old who killed himself in April after months of conversations with the chatbot. OpenAI was prioritising "safety ahead of privacy and freedom for teens", chief executive Sam Altman said in a blog post on Tuesday, stating "minors need significant protection". The company said that the way ChatGPT responds to a 15-year-old should look different to the way it responds to an adult.
Reversible Deep Equilibrium Models
McCallum, Sam, Arora, Kamran, Foster, James
Deep Equilibrium Models (DEQs) are an interesting class of implicit model where the model output is implicitly defined as the fixed point of a learned function. These models have been shown to outperform explicit (fixed-depth) models in large-scale tasks by trading many deep layers for a single layer that is iterated many times. However, gradient calculation through DEQs is approximate. This often leads to unstable training dynamics and requires regularisation or many function evaluations to fix. Here, we introduce Reversible Deep Equilibrium Models (RevDEQs) that allow for exact gradient calculation, no regularisation and far fewer function evaluations than DEQs. We show that RevDEQs achieve state-of-the-art performance on language modelling and image classification tasks against comparable implicit and explicit models.
Mob-based cattle weight gain forecasting using ML models
Hossain, Muhammad Riaz Hasib, Islam, Rafiqul, McGrath, Shawn R, Islam, Md Zahidul, Lamb, David
Forecasting mob based cattle weight gain (MB CWG) may benefit large livestock farms, allowing farmers to refine their feeding strategies, make educated breeding choices, and reduce risks linked to climate variability and market fluctuations. In this paper, a novel technique termed MB CWG is proposed to forecast the one month advanced weight gain of herd based cattle using historical data collected from the Charles Sturt University Farm. This research employs a Random Forest (RF) model, comparing its performance against Support Vector Regression (SVR) and Long Short Term Memory (LSTM) models for monthly weight gain prediction. Four datasets were used to evaluate the performance of models, using 756 sample data from 108 herd-based cattle, along with weather data (rainfall and temperature) influencing CWG. The RF model performs better than the SVR and LSTM models across all datasets, achieving an R^2 of 0.973, RMSE of 0.040, and MAE of 0.033 when both weather and age factors were included. The results indicate that including both weather and age factors significantly improves the accuracy of weight gain predictions, with the RF model outperforming the SVR and LSTM models in all scenarios. These findings demonstrate the potential of RF as a robust tool for forecasting cattle weight gain in variable conditions, highlighting the influence of age and climatic factors on herd based weight trends. This study has also developed an innovative automated pre processing tool to generate a benchmark dataset for MB CWG predictive models. The tool is publicly available on GitHub and can assist in preparing datasets for current and future analytical research..
DeepEyeNet: Generating Medical Report for Retinal Images
The increasing prevalence of retinal diseases poses a significant challenge to the healthcare system, as the demand for ophthalmologists surpasses the available workforce. This imbalance creates a bottleneck in diagnosis and treatment, potentially delaying critical care. Traditional methods of generating medical reports from retinal images rely on manual interpretation, which is time-consuming and prone to errors, further straining ophthalmologists' limited resources. This thesis investigates the potential of Artificial Intelligence (AI) to automate medical report generation for retinal images. AI can quickly analyze large volumes of image data, identifying subtle patterns essential for accurate diagnosis. By automating this process, AI systems can greatly enhance the efficiency of retinal disease diagnosis, reducing doctors' workloads and enabling them to focus on more complex cases. The proposed AI-based methods address key challenges in automated report generation: (1) A multi-modal deep learning approach captures interactions between textual keywords and retinal images, resulting in more comprehensive medical reports; (2) Improved methods for medical keyword representation enhance the system's ability to capture nuances in medical terminology; (3) Strategies to overcome RNN-based models' limitations, particularly in capturing long-range dependencies within medical descriptions; (4) Techniques to enhance the interpretability of the AI-based report generation system, fostering trust and acceptance in clinical practice. These methods are rigorously evaluated using various metrics and achieve state-of-the-art performance. This thesis demonstrates AI's potential to revolutionize retinal disease diagnosis by automating medical report generation, ultimately improving clinical efficiency, diagnostic accuracy, and patient care.
AI set to offer women 'two for one' heart and breast screening
Charlie Kirk suspect Tyler Robinson makes stony-faced first court appearance as he's charged with capital murder: Live updates Texas AG's mistress' shock new life after sex scandal was exposed Astonishing moment Charlie Kirk's wife Erika loses Miss USA pageant to pro-trans rival... as Trump watches on Michael Keaton slammed for saying there was'irony' in Charlie Kirk's shooting Extraordinary measures jail put in motion to keep Charlie Kirk assassin suspect alive: 'It's severe' Dark truth about why Taylor Swift really hid behind that bulletproof screen at Travis Kelce's game Former TV anchor is arrested again after causing'serious injury' as his downward spiral continues AMANDA PLATELL: I'm so disgusted with myself for the cruel thing I said about Kate... I'm choking on my words now I know the truth. Hollywood heartthrob Robert Redford had to'protect himself' from lusting costars... but only had eyes for his wife Hallmark star Paula Shaw dead at 84: Tributes pour in for the beloved actress who'touched countless lives' Ivanka Trump's'inappropriate' demand that left Melania reeling on the last UK state visit... this time, insiders tell how the First Lady has triumphed over the'thorn in her side' The Mounjaro mums are out of control. First it was for weight loss, then it silenced booze cravings. Now there's another miracle'benefit' they won't shut up about - but I fear it will end in disaster Idyllic small town in Maine hit with largest HIV outbreak in state's history Amanda Seyfried faces furious backlash after resharing comments alluding to Charlie Kirk's death being expected Bargain-filled Nevada casino town is branded the'new Las Vegas' as tourists flock there instead of rip-off Sin City AI set to offer women'two for one' heart and breast screening Women could get'two for one' screening for breast cancer and heart problems using AI, a study suggests. The technology can be trained to examine mammograms images to detect both tumours as well as gauging the potential risk of heart attacks and stroke.