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New AI Model Can Speed Up Alzheimer’s Drug Discovery
A team of scientists at the University of Cambridge has developed an artificial intelligence model capable of transforming how clinical trials for Alzheimer’s disease are conducted. The groundbreaking model can predict the progression of cognitive decline in patients three times more accurately than standard clinical tests. The AI was used to reanalyze data from a…
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AI Enhances Eye Disease Prediction: New Study
A groundbreaking combination of routine eye scans and artificial intelligence (AI) has paved the way for a novel and far more precise method of assessing short-sightedness, promising to revolutionize the prevention of severe retinal damage. In a recent study, researchers from the University of Edinburgh demonstrated how this new technique, driven by AI, could better…
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AI Tool Accurately Pinpoints Tumor Locations on Breast MRI Scans
A new AI model has been developed to revolutionize breast cancer detection on MRI scans, significantly enhancing the accuracy in identifying tumor locations compared to existing benchmark models. This innovative tool, trained on a large dataset of nearly 10,000 breast MRI exams, was revealed in a study published today in the journal Radiology. “AI-assisted MRI…
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Survey Reveals Growing Trust in AI-Generated Health Information Among Americans
In an evolving landscape where health inquiries increasingly populate search engines, Americans are turning to AI-generated information. Despite potential pitfalls, a new survey unveils that a substantial number of U.S. adults find this information reliable and useful. The Annenberg Public Policy Center (APPC) at the University of Pennsylvania conducted the survey in April 2025, including…
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Breakthrough AI Robot Mimics Animal Movements to Navigate Unfamiliar Terrain
Researchers at the University of Leeds and University College London (UCL) have developed an AI system that allows a four-legged robot to adapt its gait to a multitude of terrains, mimicking the agility and adaptability of real animals. This monumental development, detailed in a paper published today in Nature Machine Intelligence, is poised to revolutionize…
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Breakthrough Optical Chip for Ultra-Fast and Greener AI
Researchers from the Centre for Optics, Photonics and Lasers (COPL) at Université Laval in Quebec have unveiled a breakthrough optical chip that can transfer massive amounts of data at ultra-high speeds while consuming minimal energy. This innovation, published in the latest edition of Nature Photonics, could revolutionize artificial intelligence systems known for their significant power…
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New Research Reveals How Sensory Input Improves AI’s Conceptual Understanding
Researchers led by The Hong Kong Polytechnic University (PolyU) have uncovered how large language models (LLMs) can form complex conceptual knowledge more similarly to humans when enriched with sensory and motor inputs. The study, led by Li Ping, the Sin Wai Kin Foundation Professor in Humanities and Technology and dean of the PolyU Faculty of…
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How AI Transitions From Word Positions to Word Meanings: A New Study Sheds Light
The language capabilities of modern artificial intelligence systems are nothing short of remarkable, enabling natural conversations with tools like ChatGPT and Gemini, almost on par with human interaction. However, the internal workings that drive these sophisticated interactions remain largely enigmatic. A new study published in the Journal of Statistical Mechanics: Theory and Experiment (JSTAT) provides…
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AI Enhances Breast Cancer Detection in Mammograms, Boosting Radiologist Accuracy
A recent study published today in the journal Radiology reveals that artificial intelligence significantly improves the accuracy of radiologists in detecting breast cancer from screening mammograms. This boost in diagnostic performance allows radiologists to focus more keenly on suspicious areas, potentially saving lives through earlier cancer detection. Previous studies have indicated that AI can assist…
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New AI-Generated Materials Aim to Slash Energy Bills
A breakthrough in material design developed through machine learning and artificial intelligence, published in the journal Nature, promises to transform how we manage and utilize energy for cooling and heating. Researchers from The University of Texas at Austin, in collaboration with Shanghai Jiao Tong University, the National University of Singapore and Umea University in Sweden,…
