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According to the Financial Times, Meta is in talks with Magic Leap, an AR headset company, to look into licensing the latter’s tech.

Meta is reportedly in talks with a company called Magic Leap with an eye to a partnership that could see Meta developing its alternative reality (AR) headset in the future.

According to the Financial Times, the two are negotiating a multi-year intellectual property (IP) and manufacturing alliance. The report’s timing is significant for a few reasons.

With LIMA, Meta’s AI researchers introduce a new language model that achieves GPT-4 and Bard level performance in test scenarios, albeit fine-tuned with relatively few examples.

LIMA stands for “Less is More for Alignment,” and the name hints at the model’s function: It is intended to show that with an extensively pre-trained AI model, a few examples are sufficient to achieve high-quality results.

Few examples in this case means that Meta manually selected 1,000 diverse prompts and their output from sources such as other research papers, WikiHow, StackExchange, and Reddit.

Summary: Scientists present a hypothesis dubbed “Cytoelectric Coupling” suggesting electrical fields within the brain can manipulate neuronal sub-cellular components, optimizing network stability and efficiency. They propose these fields allow neurons to tune the information-processing network down to the molecular level.

Comparatively, this process is akin to households arranging their TV setup for optimal viewing experience. The theory, open for testing, could significantly enhance our understanding of the brain’s inner workings.

Summary: Neurons in the hippocampus vary in function depending on their exact genetic identity. The study revealed these neurons, once believed to be homogeneous, are quite diverse and encode task-related information differently based on their location. This newfound understanding of neuronal diversity could lead to better comprehension of brain functions, memory capacity, and potentially advance disease treatment strategies.

Key Facts:

Summary: Researchers used artificial intelligence to predict how enzymes interact with various substrates. The team developed an AI model that can accurately predict whether an enzyme can work with a particular molecule.

Their enzyme substrate prediction (ESP) model provides a valuable tool for drug research and biotechnology, with applications ranging from the creation of new drugs to the production of biofuels.

Lifespan by simply slowing the aging of an organ, such as the intestine? CNRS researchers have discovered how to extend the life expectancy of zebrafish by reactivating a gene within intestinal cells. The results were published in the journal Nature Aging on May 4, 2023.

The intestine plays a crucial role in an anti-aging approach as well as general health. Over a century ago, Elie Metchnikov observed that aging ensued from increased inflammation of the intestine and microbial infiltration within . The more we age, the less the serves as a barrier, allowing the undesirable particles and bacteria that cause the more rapid aging of the organism to pass through.

In a new study, Miguel Godinho Ferreira and his team at the Institute for Research on Cancer and Aging (Ircan) in Nice (CNRS/Inserm/Université Côte d’Azur) have studied the impact on aging of telomere length in the intestinal cells of zebrafish. As with humans, these chromosome extremities shrink faster in the than in other organs during the course of a life, which is why this process plays such an important role in aging.