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The limits of nuclear stability change in stellar environments where temperatures reach billions of degrees Celsius

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.

Multi-scale, nanomaterial-based ice inhibition platform enables full-cycle cryogenic protection for mouse oocytes

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.

SamuelSchmidgall/AgentClinic: Agent benchmark for medical diagnosis

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…

Agent benchmark for medical diagnosis. Contribute to SamuelSchmidgall/AgentClinic development by creating an account on GitHub.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

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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