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Researchers have developed a method to use an image generation AI model to create realistic images of single cells, which are then used as 'synthetic data' to train an AI model to better carry out single-cell segmentation.
A sensing technology that can assess the quality of components in fields such as aerospace could transform UK industry.
Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This irregular heartbeat is associated with increased risks of heart failure, dementia and stroke. It constitutes a significant burden to healthcare systems, making its early detection and treatment a major goal. Researchers have recently developed a deep-learning model capable of predicting the transition from a normal cardiac rhythm to atrial fibrillation. It gives early warnings on average 30 minutes before onset, with an accuracy of around 80%. These results pave the way for integration into wearable technologies, allowing early interventions and better patient outcomes.
The study highlights the rapid progress and transformative potential of AI in weather prediction.
A new typing model simulates the typing process instead of just predicting words.
Contrary to previous assumptions, nerve cells in the human neocortex are wired differently than in mice. The study found that human neurons communicate in one direction, while in mice, signals tend to flow in loops. This increases the efficiency and capacity of the human brain to process information. These discoveries could further the development of artificial neural networks.
A new technique can more effectively perform a safety check on an AI chatbot. Researchers enabled their model to prompt a chatbot to generate toxic responses, which are used to prevent the chatbot from giving hateful or harmful answers when deployed.
The Takagi--Sugeno (T--S) fuzzy descriptor system offers a promising avenue for controlling non-linear systems but lacks optimal control strategies. Moreover, while robust control methods have been developed, they add additional complexity. To address these limitations, a team of researchers has developed novel optimal and robust-optimal controllers based on the T--S fuzzy descriptor model, holding great potential for enhanced autonomous systems.
Researchers developed a foundational language model to decode mRNA sequences and optimize those sequences for vaccine development. The tool shows broader promise as a means for studying molecular biology.
The development of AI models is an overlooked climate culprit. Computer scientists have created a recipe book for designing AI models that use much less energy without compromising performance. They argue that a model's energy consumption and carbon footprint should be a fixed criterion when designing and training AI models.
Stem cells: the superheroes of medicine, fighting diseases by regenerating tissue! But wait, they face their own challenges - ethical dilemmas and technical hurdles!
From Da Vinci's sketches to today's skyward triumphs, explore the thrilling evolution of helicopters!
From budget-conscious solutions to strategic game-changers, these U.S. missiles can change the game on any conflict.
The medical community faces a significant challenge with the high demand for organ transplants, highlighted by over 107,000 people in the U.S. Can cloning organs be a viable solution?
The project, funded by EU, is called ENCANTO.
Astronomers have captured a black hole blasting one of the most intense outbursts ever recorded.
The AI tool has been creating historically inaccurate images for the last couple of days.
This innovative technology is capable of monitoring areas 1,000 times smaller than current technologies.
Polycythemia vera is a type of chronic myeloproliferative neoplasm, a group of disorders that affect the production of blood cells in the bone marrow.
A new state of matter that could change the world of quantum computing.