Table of Contents
Overall
Home Technology peripherals AI Artificial intelligence boldly predicts: there are at least 20,000 earths and 36 alien civilizations in the galaxy

Artificial intelligence boldly predicts: there are at least 20,000 earths and 36 alien civilizations in the galaxy

Jul 14, 2023 am 08:53 AM
AI predict alien civilization

British scientists recently believed that there are at least 36 alien civilizations in the Milky Way. How did they arrive at this number, which includes zeros and integers?

Artificial intelligence boldly predicts: there are at least 20,000 earths and 36 alien civilizations in the galaxy

The answer is artificial intelligence algorithms. They have designed a unique model and algorithm to predict the number of alien civilizations in the galaxy. This model includes some physical quantities, dependencies between forces, and the life cycle of celestial bodies in space. For example, the formation and death of the solar system, and the evolution of all stars in the Milky Way.

Artificial intelligence boldly predicts: there are at least 20,000 earths and 36 alien civilizations in the galaxy

Using this algorithm, when the diameter of the Milky Way is at least 100,000 light-years and contains at least 100 billion stars, there are at least 20,000 planets like the Earth in the habitable zone, and the entire There are approximately 300 billion Earth-like planets in the universe. On the basis of the 20,000 Earths in the Milky Way, scientists have also taken into account the factors of liquid water and magnetic fields, because with them carbon-based life can evolve smoothly until civilization appears.

Artificial intelligence boldly predicts: there are at least 20,000 earths and 36 alien civilizations in the galaxy

At this point it is time to define civilization and intelligence. Since humans cannot discover alien civilizations that are still in the Stone Age, intelligence here refers to aliens that can communicate with humans or can be discovered by humans. Star civilization.

After clarifying this definition, as the history of life on earth has been 38 years long and the history of human civilization is 10,000 years, astronomers believe that an alien civilization must be at least

our current technological level. It will take another 100 years of development to be discovered by human civilization. This means that the 36 alien civilizations in the Milky Way are at least 100 years more advanced than humans.

Artificial intelligence boldly predicts: there are at least 20,000 earths and 36 alien civilizations in the galaxy If you think 100 years is not that long, think about what it was like 100 years ago. At that time, electrification was not yet popular, let alone satellites and the Internet. Therefore, scientists believe that it is 100 years ahead of the current stage of human civilization. The technological strength of alien civilizations may be 200 or even 300 years ahead of humans, because technological explosions do not only occur on earth.

Artificial intelligence boldly predicts: there are at least 20,000 earths and 36 alien civilizations in the galaxyWhen all the above definitions were simplified into parameters and entered into the computer, scientists finally believed that there should be

30 to 36 intelligent civilizations in our galaxy.

This result was also published in

"The Astrophysical Journal"

, which triggered other scientists and science fiction enthusiasts to think about how to further contact these dozens of aliens. civilization?

Artificial intelligence boldly predicts: there are at least 20,000 earths and 36 alien civilizations in the galaxyFirst of all, the computer shows that the average distance of these 36 alien civilizations is 17,000 light-years from the earth. This means that if we contact them now, it will take 17,000 years for them to receive and reply to humans.

It comes back and forth. 34,000 time

, such a long time is enough for human civilization to leave the solar system or even the Milky Way.

Artificial intelligence boldly predicts: there are at least 20,000 earths and 36 alien civilizations in the galaxyAnd the most regrettable thing is that human civilization has only received electromagnetic waves from the universe for a few decades, while alien civilization may have contacted the earth 300 years ago, but humans could not feel it at all at that time.

Artificial intelligence boldly predicts: there are at least 20,000 earths and 36 alien civilizations in the galaxy In the same way, if the dating signals we send into the universe are to be received by alien civilizations, they also need the ability of alien civilizations to receive them. In other words, both the transmissions of human civilizations and the alien civilizations can be received. Must be in the

same time window

, otherwise it will be missed due to insufficient transmitting power or insufficient receiving sensitivity.

Overall

Artificial intelligence boldly predicts: there are at least 20,000 earths and 36 alien civilizations in the galaxy

Regardless of whether there are 36 alien civilizations or 360 alien civilizations in the Milky Way, it has little to do with the current human civilization. Unless these alien civilizations suddenly jump to the vicinity of the earth in the next second, there will never be any in our lifetime. Those who may discover their existence, and those who have a real chance of discovering aliens in the future, are only space travelers after human civilization enters the age of great exploration of the universe.

The above is the detailed content of Artificial intelligence boldly predicts: there are at least 20,000 earths and 36 alien civilizations in the galaxy. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
WWE 2K25: How To Unlock Everything In MyRise
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions Jun 28, 2024 am 03:51 AM

This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP

Context-augmented AI coding assistant using Rag and Sem-Rag Context-augmented AI coding assistant using Rag and Sem-Rag Jun 10, 2024 am 11:08 AM

Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application

Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations Jun 11, 2024 pm 03:57 PM

Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it

Seven Cool GenAI & LLM Technical Interview Questions Seven Cool GenAI & LLM Technical Interview Questions Jun 07, 2024 am 10:06 AM

To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text

To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework Jul 25, 2024 am 06:42 AM

Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A

Five schools of machine learning you don't know about Five schools of machine learning you don't know about Jun 05, 2024 pm 08:51 PM

Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing

SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time Jul 17, 2024 pm 06:37 PM

Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S

Laying out markets such as AI, GlobalFoundries acquires Tagore Technology's gallium nitride technology and related teams Laying out markets such as AI, GlobalFoundries acquires Tagore Technology's gallium nitride technology and related teams Jul 15, 2024 pm 12:21 PM

According to news from this website on July 5, GlobalFoundries issued a press release on July 1 this year, announcing the acquisition of Tagore Technology’s power gallium nitride (GaN) technology and intellectual property portfolio, hoping to expand its market share in automobiles and the Internet of Things. and artificial intelligence data center application areas to explore higher efficiency and better performance. As technologies such as generative AI continue to develop in the digital world, gallium nitride (GaN) has become a key solution for sustainable and efficient power management, especially in data centers. This website quoted the official announcement that during this acquisition, Tagore Technology’s engineering team will join GLOBALFOUNDRIES to further develop gallium nitride technology. G

See all articles