Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 1383

New research is challenging the scientific status quo on the limits of the nuclear chart in hot stellar environments where temperatures reach billions of degrees Celsius.

The nuclear chart is a way to map out different kinds of atomic nuclei based on their number of protons and neutrons, and the “drip lines” can be viewed as the boundaries or edges of this map. Researchers from the University of Surrey and the University of Zagreb have found that these drip lines, which define the maximum number of protons and neutrons within a nucleus, change dynamically with temperature.

The findings challenge the view that drip lines and the number of bound nuclei are not sensitive to the temperature.

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Dr. Petr Cígler and his collaborators are working on refining molecular systems for transporting ribonucleic acid (RNA) molecules into cells. The question of how to effectively deliver RNA to a designated place in the body in order to silence a malfunctioning gene is one of the greatest challenges of the rapidly developing field of gene medicine.

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Safe and high-quality fertility preservation is of growing significance for women in clinical trials. Current primary methods for cryopreserving human oocytes are slow freezing and vitrification, but existing techniques pose risks of biochemical toxicity and are restricted in large-scale clinical practice.

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From Stanford, Albert Einstein, & Johns Hopkins U: a multimodal agent benchmark to evaluate AI in simulated clinical environments.

From stanford, albert einstein, & johns hopkins U

AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments abs: https://arxiv.org/abs/2405.07960 project page: https://agentclinic.github.io code: https://github.com/samuelschmidgall/agentclinic.

A new multimodal agent…

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The headline-grabbing release here is Gemma 2, the next generation of Google’s open-weights Gemma models, which will launch with a 27 billion parameter model in June.

Already available is PaliGemma, a pre-trained Gemma variant that Google describes as “the first vision language model in the Gemma family” for image captioning, image labeling and visual Q&A use cases.

So far, the standard Gemma models, which launched earlier this year, were only available in 2-billion-parameter and 7-billion-parameter versions, making this new 27-billion model quite a step up.

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