Lifeboat Foundation

This video will aim to provide detailed information regarding the use of robots in healthcare, specifically the surgical robots. The video consists of 4 subtopics: history of surgical procedure, introduction to surgical robots, the da Vinci surgical system with Dr. Yasufuku’s interview and robotics in remote healthcare and future advancement. The full-length of the interview will be posted on the Demystifying Medicine Soundcloud account and as a YouTube Podcast. For more information regarding the Da Vinci Surgical System, please visit https://www.davincisurgery.com/about-us/privacy-policy. (The animation of Da Vinci Surgical System during the News section was used with permission from Intuitive.)

Finally, we would like to thank Dr. Kazuhiro Yasufuku for his time and contribution to our video through his excellent interview. For those who are interested to learn more about his research, please visit https://www.yasufukuresearch.com/.

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Year 2020 :3.

Atoms are made of protons, neutrons and electrons. And they are small. So small that 100 million hydrogen atoms would span the width of your fingernail. String theory proposes that at the most fundamental level of space there are objects that are much smaller than these elementary particles: tiny little filaments of energy, called “strings.”

A new method learns prompts from an image, which then can be used to reproduce similar concepts in Stable Diffusion.

Whether DALL-E 2, Midjourney or Stable Diffusion: All current generative image models are controlled by text input, so-called prompts. Since the outcome of generative AI models depends heavily on the formulation of these prompts, “prompt engineering” has become a discipline in its own right in the AI community. The goal of prompt engineering is to find prompts that produce repeatable results, that can be mixed with other prompts, and that ideally work for other models as well.

In addition to such text prompts, the AI models can also be controlled by so-called “soft prompts”. These are text embeddings automatically derived from the network, i.e. numerical values that do not directly correspond to human terms. Because soft prompts are derived directly from the network, they produce very precise results for certain synthesis tasks, but cannot be applied to other models.

Significantly reduces its advanced chip order with TSMC. The 3nm chip will be very expensive.

Devices now being tested in the sky could gather ultra-precise data.

A new technique to measure starspots could help test stellar magnetism theories and improve our understanding of habitable zones.

Can an early introduction to basic astronomy knowledge help solve the root cause of ignorance and human suffering?

One of the most awaited events in modern astronomy may be upon us shortly, according to experts.

Our immune systems are at war with cancer. This animation reveals how monoclonal antibodies can act as valuable reinforcements to shore up our defences – and help battle cancer.

You can find more on this topic at http://www.nature.com/milestones/antibodies.

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