Articles

  • Jan 20, 2025 | robbreport.com | Grace Huckins

    On the first morning of Doc, an exclusive health and longevity event that convened its inaugural meeting this past October, scoring a caffeine hit required navigating a human obstacle course that had sprung up in the overflow tent. A shifting group of 20 to 30 attendees eagerly chatted by the coffee bar and make-your-own-trail-mix station, while a separate gaggle formed around Eric Verdin, CEO of the Buck Institute for Research on Aging, as if he were a celebrity—which, in this crowd, he was.

  • Dec 20, 2024 | technologyreview.com | Grace Huckins

    Networks programmed directly into computer chip hardware can identify images faster, and use much less energy, than the traditional neural networks that underpin most modern AI systems. That’s according to work presented at a leading machine learning conference in Vancouver last week. Neural networks, from GPT-4 to Stable Diffusion, are built by wiring together perceptrons, which are highly simplified simulations of the neurons in our brains.

  • Dec 10, 2024 | thetransmitter.org | Jill Adams |Grace Huckins |Claudia Lopez Lloreda

    Home Curating neuroscience, connecting community An editorially independent publication supported by the Simons Foundation

  • Dec 6, 2024 | thetransmitter.org | Shaena Montanari |Angie Voyles Askham |Grace Huckins |Paul Middlebrooks

    ReporterThe Transmitter Share this article: The Howard Hughes Medical Institute (HHMI) plans to change the eligibility criteria for its prestigious Investigator Program, The Transmitter has learned. “!!Just learned that faculty from Harvard, Stanford, Princeton, and others won’t be eligible in the upcoming HHMI Investigator competition (2026?).

  • Dec 6, 2024 | thetransmitter.org | Armin Raznahan |Shaena Montanari |Angie Voyles Askham |Grace Huckins

    Armin Raznahan is a child and adolescent psychiatrist and chief of the Section on Developmental Neurogenomics (SDN) at the U.S. National Institute of Mental Health (NIMH). His research combines neuroimaging, genomic and bioinformatic techniques to better understand the architecture of human brain development in health, and in neurogenetic disorders that increase risk for psychiatric symptoms.

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