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The organoids can be used to study the development of diseases and the effects of drugs.

Michael Helmrath, a pediatric surgeon at Cincinnati Children’s Hospital Medical Center, and his colleagues made headlines last week when they revealed trials where they had transplanted balls of human intestinal tissue into mice, according to a report by *Wired* published on Thursday.

After a few weeks, these transplants developed key features of the human immune system, introducing a model that could be used to effectively simulate the human intestinal system.

It’s not the first time researchers at Cincinnati Children’s make such an advancement in organoids (miniature replicas of human organs). In 2010, the institution became the first in the world to create a working intestinal organoid. ## Containing human cells

Since organoids contain human cells and exhibit some of the same structures and functions as real organs, scientists everywhere are using them to study how organs develop, how diseases occur and how drugs work.

“It’s incredibly important that when we are trying to create these platforms for testing drug efficacy and drug side effects in human tissue models that we actually make sure that we are as close to, and as complete as, the tissue in which the drug will work eventually in our human body. So, adding the immune system is an important part of that,” told *Wired* Pradipta Ghosh, director of the Humanoid Center of Research Excellence at the University of California San Diego School, which is engineering human organoids to test drugs. Ghosh was not part of the new study.

Helmrath and his team started with induced pluripotent stem cells, which can turn into any type of body tissue, and fed them a specific molecular cocktail to coax them into transforming into intestinal cells. They ended up with some organoid spheres that the team then carefully transplanted into mice.

A city that’s the size of a planet! Join us, and find out more!

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In this video, Unveiled takes a closer look at a possible future for life on Earth — planet-sized cities! An Ecumenopolis is a proposed endgame for civilisation, and humanity could be very close to achieving it! But what would life be like inside one? And what would happen after it’s built??

This is Unveiled, giving you incredible answers to extraordinary questions!

Find more amazing videos for your curiosity here:
Parallel Universe Stories to Make You Question Reality — https://youtu.be/1QvShWXCHEQ
Is the Government Hiding Speed of Light Travel? — https://youtu.be/8h1LYN5REmU

0:00 Intro.

AI that can make it seem as if you said something you didn’t.


In this How Nifty video, this new AI (artificial intelligence) called Flawless just broke the entire film industry… and more!

Sources:
AI Translation Video: https://www.youtube.com/watch?v=iQ1OPpj8gPA

Mushroom SFX: https://www.instagram.com/p/Ck_XCVPAgPd/

BMW drone + 360 camera: https://www.reddit.com/r/Filmmakers/comments/10kf17b/fpv_dro…ible_shot/

The Tesla transformation to a fully integrated design.


Join me and Cory Steuben as he reviews all the different ways Tesla has an advantage over their competitors from manufacturing, the factories, the business model and the team.

Between, Cory, Sandy and the other associates at Munro & Associates they are likely the best in the planet who knows the most about how different cars are made and about the auto industry and the competition in the auto industry.

Cory is the President of Munro & Associates who is the de facto leader in reverse engineering and teardown benchmarking. They tear down all sorts of cars and they know every single part and every single price, the supply chain and what it takes to manufacture these parts.

Cory Steuben on Twitter:@corysteuben.

To make long-term presence on the Moon viable, we need abundant electrical power. We can make power systems on the Moon directly from materials that exist everywhere on the surface, without special substances brought from Earth. We have pioneered the technology and demonstrated all the steps. Our approach, Blue Alchemist, can scale indefinitely, eliminating power as a constraint anywhere on the Moon.

We start by making regolith simulants that are chemically and mineralogically equivalent to lunar regolith, accounting for representative lunar variability in grain size and bulk chemistry. This ensures our starting material is as realistic as possible, and not just a mixture of lunar-relevant oxides. We have developed and qualified an efficient, scalable, and contactless process for melting and moving molten regolith that is robust to natural variations in regolith properties on the Moon.

Using regolith simulants, our reactor produces iron, silicon, and aluminum through molten regolith electrolysis, in which an electrical current separates those elements from the oxygen to which they are bound. Oxygen for propulsion and life support is a byproduct.

The European Space Agency’s Mars Express spacecraft captured a stunning new view of the Red Planet’s complex surface geology.

The new image, taken using the orbiter’s High Resolution Stereo Camera (HRSC), focuses on the flanks of a vast volcanic plateau called Thaumasia Planum. Deep surface fractures and water-carved valleys stream down the side of this volcanic region, offering clues about Mars’ ancient past.

The Earth-like planet is almost the same size as Earth, but it has a four-day year.

An international team of astronomers discovered a new planet that greatly resembles Earth in size.

The astronomers confirmed the existence of K2-415b, an exoplanet orbiting an M dwarf star some 72 light-years away from Earth, according to a press release.

## Discovering an alien world

The team behind the discovery set out to look for stars that could be suitable hosts for planets that may harbor life.

In a paper available in the preprint server arXiv, they explain how they used a method called radial velocity. Essentially, the gravity of orbiting exoplanets causes small wobbles in the light emitted by the planet’s host star. These wobbles change the color of the light, allowing astronomers to detect them from Earth.

Radial velocity is one of several methods astronomers use to detect exoplanets — any planet that is not part of our solar system. Other methods include direct imaging and the transit method, which measures the periodic drop in light of a distant star as an exoplanet passes between the star and an observatory’s field of view.

If your work involves analyzing and reporting on data, then it’s understandable that you might feel a bit concerned by the rapid advances being made by artificial intelligence (AI). In particular, the viral ChatGPT app has captured the imagination of the general public in recent months, acting as a powerful demonstration of what AI is already capable of. For some, it may also seem like a warning about what might be in store for the future.

Undoubtedly, one of the strengths of AI is its ability to make sense of large amounts of data – searching out patterns and putting it into reports, documents, and formats that humans can easily understand. This is the day-to-day “bread and butter” of data analysts as well as many other knowledge economy professionals whose work involves working with data and analytics.

It’s true that artificial intelligence – a term that generally, in business and industry, refers to machine learning – has been used for years in these fields. What ChatGPT and similar tools built on large language models (LLM) and natural language processing (NLP) bring to the table is that it can be easily and effectively used by anybody. If a CEO can simply say to a computer, “what do I need to do to improve customer satisfaction?” or “how can I make more sales?” do they need to worry about hiring, training, and maintaining an expensive analytics team to answer those questions?

Well, fortunately, the answer probably, is yes. In fact, as AI becomes more accessible and mainstream, that team may well become even more critical to the business than it already is. What is beyond doubt, though, is that their jobs will substantially change. So, here’s my rundown of how this technology may affect the field of data and analytics as it becomes mainstream in the near future.

Firstly, what are ChatGPT, LLMs, and NLP?

ChatGPT is a publicly-available conversational (or chatbot) interface powered by a LLM called GPT-3, developed by the research institute OpenAI. The LLM (Large Language Model) is part of a field of machine learning known as natural language processing, which essentially means that it enables us to talk to machines, and for them to reply to us in “natural” (i.e., human) languages. In short, this means that we can ask it a question in English, or in fact, one of almost 100 languages. It can also read, understand and generate computer code in a number of popular programming languages, including Python, Javascript, and C++. We’ve gotten used to interacting with NLP technology for some time now thanks largely to AI assistants like Alexa and Siri, but the LLM powering GPT-3 and ChatGPT is orders of magnitude larger, enabling it to understand far more complex inputs and provide far more sophisticated outputs.