Lifeboat Foundation: Safeguarding Humanity
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Google announced the general availability (GA) of generative AI services based on Vertex AI, the Machine Learning Platform as a Service (ML PaaS) offering from Google Cloud. With the service becoming GA, enterprises and organizations could integrate the platform’s capabilities with their applications.

With this update, developers can use several new tools and models, such as the world completion model driven by PaLM 2, the Embeddings API for text, and other foundation models in the Model Garden. They can also leverage the tools available within the Generative AI Studio to fine-tune and deploy customized models. Google claims that enterprise-grade data governance, security, and safety features are also built into the Vertex AI platform. This provides confidence to customers in consuming the foundation models, customizing them with their own data, and building generative AI applications.

Customers can use the Model Garden to access and evaluate base models from Google and its partners. There are over 60 models, with pals for adding newer models in the future. Also, the Codey model for code completion, code generation, and chat, announced at the Google I/O conference in May, is now available for public preview.

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As biological singularity genes grow so will leisure activities grow and blossom. Even now tricking is a show of the real human potential in movement. Just shows us that the future is much brighter everyday with new activities that push the human potential and humans will have even greater heights of human abilities when the biological singularity genes can make us soar to new abilities.

Sixteen of the best tricking athletes came to Atlanta and battled head to head for the winning title.

► Watch Red Bull Throwdown 2015: https://youtu.be/OMuHX2UHjHU

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Chemical signals from contracting muscles can influence the growth of brain networks, according to new research published in Neuroscience. The study highlights the importance of physical activity to mental health, and the findings could also help contribute to the development of more effective treatments for cognitive disorders such as Alzheimer’s disease.

Previous studies had shown that exercise has significant benefits for cognitive health, even when initiated at late stages in life. Exercise has been associated with long-term changes in the hippocampus, a brain region crucial for learning and memory, including increased neurogenesis, synaptogenesis, and enlarged volume.

However, the specific mechanisms through which exercise produces these changes in the hippocampus were not well understood. By uncovering these mechanisms, the authors behind the new study aim to develop exercise-based treatments for cognitive pathologies that affect the hippocampus, such as Alzheimer’s disease, stress, depression, anxiety, and normal aging.

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Scientists at the University of Texas at Austin have created a “semantic brain decoder” to guess someone’s thoughts based on brain activity.

During tests, it captured the gist of what someone was thinking, rather than a literal translation. And if participants resisted, it produced gibberish.

The decoder, written about in the journal Nature Neuroscience in May, is novel, said Edmund Lalor, an associate professor of neuroscience at the University of Rochester. But its threat to privacy is minimal.

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