Friday, March 6

Tag: Reddit

AI model predicts Alzheimer's from MRI brain volume loss with 92.87% accuracy
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AI model predicts Alzheimer’s from MRI brain volume loss with 92.87% accuracy

WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy. Their research, published in the journal Neuroscience, also revealed that the anatomical changes, involving loss of brain volume, differ by age and sex. "Early diagnosis of Alzheimer's disease can be difficult because symptoms can be mistaken for normal aging," says Benjamin Nephew, assistant research professor in the Department of Biology and Biotechnology. "We found that machine-learning technologies, however, can analyze large amounts of data from scans to identify subtle changes and accurately predict Alzheimer's disease and related cognitive states. This advance has informed Alzheimer's disease research and may lead...
Large genome model: Open source AI trained on trillions of bases
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Large genome model: Open source AI trained on trillions of bases

"...Evo 2, an open source AI that has been trained on genomes from all three domains of life (bacteria, archaea, and eukaryotes). After training on trillions of base pairs of DNA, Evo 2 developed internal representations of key features in even complex genomes like ours, including things like regulatory DNA and splice sites, which can be challenging for humans to spot. Bacterial genomes are organized along relatively straightforward principles. Any genes that encode proteins or RNAs are contiguous, with no interruptions in the coding sequence. Genes that perform related functions, like metabolizing a sugar or producing an amino acid, tend to be clustered together, allowing them to be controlled by a single, compact regulatory system. It’s all straightforward and efficient. Eukaryotes...
Apple Music is building tools to identify and tag AI-generated songs
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Apple Music is building tools to identify and tag AI-generated songs

Apple is deploying new detection tools to identify and label AI-generated tracks across its streaming platform. The move aims to protect artist royalties and ensure transparency as "fake" songs increasingly flood the charts. This infrastructure shift allows Apple to verify human-made content while keeping its library legally compliant. By stripping away deceptive synthetic audio, the company is reinforcing the premium value of human creativity. Apple is drawing a digital line in the sand to stop the AI dilution of the music industry. submitted by /u/PuroPuri4 [link] [comments]
What’s Next for Qwen After Junyang Lin’s Departure?
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What’s Next for Qwen After Junyang Lin’s Departure?

Junyang Lin, the technical lead and public face of Alibaba's Qwen AI project, just announced that he's stepping down from the team on X, right after the release of the new Qwen 3.5 small models. Does this signal a shift in Qwen's research direction or openness? Is this just a leadership change or something deeper in Alibaba's AI strategy? What do y'all think the future of Qwen looks like now? submitted by /u/TutorLeading1526 [link] [comments]
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