Using gene therapy, a German research team has succeeded for the first time in getting mice to walk again after a complete cross-sectional injury. The nerve cells produced the curative protein themselves.
Credit: Lehrstuhl für Zellphysiologie
Research Paper: Transneuronal delivery of hyper-interleukin-6 enables functional recovery after severe spinal cord injury in mice https://www.nature.com/articles/s41467-020-20112-4
News Source: https://news.rub.de/english/press-releases/2021-01-15-paraplegia-designer-cytokine-makes-paralyzed-mice-walk-again
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An Apple obsessed software engineer from Kansas has been named the world’s ultimate fan of the brand following a global contest by USA’s phone trade-in site SellCell.
David Freeman, who has a personal collection of more than 100 vintage Apple products, triumphed over more than a thousand other entrants to clinch the title and bag first prize of a brand new Apple Watch.
Credit: SellCell
News Source: https://www.sellcell.com/blog/apple-superfan-revealed/
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At Google I/O 2021, Google shared a preview of an AI-powered dermatology assist tool that helps anyone understand what’s going on with issues related to their body’s largest organ: their skin, hair and nails. Using many of the same techniques that detect diabetic eye disease or lung cancer in CT scans, this tool gets the users closer to identifying dermatologic issues — like a rash on arm — using phone’s camera.
News Source: https://blog.google/technology/health/ai-dermatology-preview-io-2021
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Google is showing a Doodle in Mexico on January 28, 2023, to celebrate the 126th birthday of Indigenous Mexican model and Nahuatl-language linguistic informant, Luz Jiménez.
See the Google Doodle celebrating Luz Jiménez's 126th Birthday at https://www.google.com/doodles/luz-jimenezs-126th-birthday
Read about Luz Jiménez at https://en.wikipedia.org/wiki/Luz_Jim%C3%A9nez
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Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
As scientists push the boundaries of machine learning, the amount of time, energy, and money required to train increasingly complex neural network models is skyrocketing. A new area of artificial intelligence called analog deep learning promises faster computation with a fraction of the energy usage.
Credit: Ella Maru Studio, Murat Onen
Research paper: Nanosecond protonic programmable resistors for analog deep learning https://www.science.org/doi/10.1126/science.abp8064
News Source: https://news.mit.edu/2022/analog-deep-learning-ai-computing-0728
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A Cornell-led collaboration used machine learning to pinpoint the most accurate means, and timelines, for anticipating the advancement of Alzheimer’s disease in people who are either cognitively normal or experiencing mild cognitive impairment.
Research paper: Machine learning based multi-modal prediction of future decline toward Alzheimer’s disease: An empirical study https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0277322
News Source: https://www.eurekalert.org/news-releases/972568
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