Artificial Intelligence on Dark Matter and Dark Energy: Reverse Engineering of the Big Bang
暫譯: 暗物質與暗能量上的人工智慧：大爆炸的逆向工程
Fernández, Ariel
相關主題
商品描述
As we prod the cosmos at very large scales, basic tenets of physics seem to crumble under the weight of contradicting evidence. This book helps mitigate the crisis. It resorts to artificial intelligence (AI) for answers and describes the outcome of this quest in terms of an ur-universe, a quintessential compact multiply connected space that incorporates a fifth dimension to encode space-time as a latent manifold.
In some ways, AI is bolder than humans because the huge corpus of knowledge, starting with the prodigious Standard Model (SM) of particle physics, poses almost no burden to its conjecture-framing processes. Why not feed AI with the SM enriched by the troubling cosmological phenomenology on dark matter and dark energy and see where AI takes us vis-à-vis reconciling the conflicting data with the laws of physics? This is precisely the intellectual adventure described in this book and - to the best of our knowledge - in no other book on the shelf. As the reader will discover, many AI conjectures and validations ultimately make a lot of sense, even if their boldness does not feel altogether "human" yet.
This book is written for a broad readership. Prerequisites are minimal, but a background in college math/physics/computer science is desirable. This book does not merely describe what is known about dark matter and dark energy but also provides readers with intellectual tools to engage in a quest for the deepest cosmological mystery.
商品描述(中文翻譯)
隨著我們在非常大尺度上探索宇宙，物理學的基本原則似乎在矛盾的證據重壓下崩潰。本書幫助緩解這一危機。它依賴人工智慧（AI）尋求答案，並以一個原始宇宙（ur-universe）的形式描述這一探索的結果，這是一個典型的緊湊多重連通空間，包含一個第五維度來編碼時空作為潛在流形。
在某些方面，AI 比人類更大膽，因為龐大的知識體系，從驚人的粒子物理標準模型（Standard Model, SM）開始，幾乎不會對其假設框架過程造成負擔。為什麼不將受到困擾的宇宙現象學（如暗物質和暗能量）豐富的 SM 提供給 AI，看看 AI 如何幫助我們調和矛盾數據與物理法則？這正是本書所描述的智力冒險，並且據我們所知，書架上沒有其他書籍能與之相比。讀者將會發現，許多 AI 的假設和驗證最終都非常有道理，即使它們的膽量尚未完全顯得「人性化」。
本書是為廣泛的讀者群體而寫的。先備知識要求最低，但具備大學數學/物理/計算機科學的背景會更為理想。本書不僅僅描述了關於暗物質和暗能量的已知資訊，還為讀者提供了智力工具，以參與對最深奧宇宙奧秘的探索。
作者簡介
Ariel Fernández, PhD, (born Ariel Fernández Stigliano) is an Argentine-American physical chemist and mathematician. He earned a PhD in chemical physics at Yale University in record time and held the Hasselmann Endowed Chair Professorship in Bioengineering at Rice University until his retirement. To date, he has published approximately 500 scientific papers in professional journals, including PNAS, Nature, Nature Biotechnology, Physical Review Letters, Genome Research, and Genome Biology. Dr. Fernández has also authored seven books on biophysics, molecular medicine, AI, and mathematical physics, and holds several patents on technological innovation. Since 2018, Dr. Fernández has headed the Daruma Institute for Applied Intelligence, the research arm of AF Innovation, a consultancy currently based in Argentina and the United States.
作者簡介(中文翻譯)
Ariel Fernández, PhD（出生名為 Ariel Fernández Stigliano）是一位阿根廷裔美國物理化學家和數學家。他在耶魯大學以創紀錄的速度獲得化學物理博士學位，並在萊斯大學擔任哈塞爾曼生物工程講座教授，直到退休為止。迄今為止，他已在專業期刊上發表約500篇科學論文，包括PNAS、Nature、Nature Biotechnology、Physical Review Letters、Genome Research和Genome Biology。Fernández博士還撰寫了七本有關生物物理學、分子醫學、人工智慧和數學物理的書籍，並擁有多項技術創新專利。自2018年以來，Fernández博士一直領導達摩應用智慧研究所（Daruma Institute for Applied Intelligence），該研究所是AF Innovation的研究部門，AF Innovation是一家目前在阿根廷和美國的顧問公司。
