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Scientists Crack a 40-Year Puzzle in Unbreakable Encryption

SciTechDaily Researchers at Hebrew University of Jerusalem in Israel and Los Alamos National Laboratory developed practical quantum encryption protocols that work with imperfect hardware. Instead of requiring flawless single-photon sources, which for four decades has been the holy grail of quantum key distribution, the team created methods using sub-Poissonian photon sources based on quantum dots […]

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New AI Spots Hidden Heart Attack Risk at the Click of a Button

A new AI tool can rapidly detect hidden cardiovascular and fall risks in older adults using routine bone scans by identifying arterial calcification, an often-overlooked but critical health indicator. Researchers from Edith Cowan University (ECU), in collaboration with the University of Manitoba, have developed an automated machine learning program capable of identifying potential cardiovascular events […]
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Stanford Scientists Create “Digital Twin” of the Brain Using AI

In a new study, researchers at Stanford Medicine and their collaborators developed an artificial intelligence model to create a “digital twin” of the mouse visual cortex, the brain region responsible for processing visual information. This digital twin was trained on extensive datasets of neural activity recorded from real mice as they watched movie clips. Once […]
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Hidden Brain Lesions Uncovered by AI, Transforming Epilepsy Treatment

An AI-powered tool called MELD Graph is revolutionizing epilepsy care by detecting subtle brain abnormalities that radiologists often miss. By analyzing global MRI data, the tool improves diagnosis speed, increases access to surgical treatment, and cuts healthcare costs. Though not yet in clinical use, it is already helping doctors identify operable lesions, offering hope to […]

New AI Model Can Detect Cancer Clues at Lightning Speed

Researchers at the University of Gothenburg have created an AI model that enhances cancer detection capabilities through sugar analysis. This AI model outperforms the existing semi-manual techniques in speed and accuracy in identifying abnormalities.

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