Chilling words in the Bible's Book of Revelation seem to describe events in the early Christian world - but are they actually predicting a nuclear explosion during a future world war? 'Something like a huge mountain, all ablaze, was thrown into the sea… a third of the living creatures in the sea died,' the ancient text reads. The Book of Revelation (written towards the end of the first century AD) is packed with imagery which could describe modern weapons technologies such as helicopter or drone fleets and even robot soldiers, explained Jared Brock, author of'A Devil Named Lucifer.' Brock said that it's very easy to read Revelation and map the fall of previous empires onto it, such as the Roman Empire or the British Empire. However, the author wonders if it could be describing the future fall of the United States instead. Brock studied scripture intently as part of the research for his book - and found echoes of recent world events in the Book of Revelation and throughout the Bible.

Fox News anchor Bret Baier takes a look at key shipping routes in the Middle East and breaks down how Iran's actions in the Red Sea could impact global trade on'Special Report.' Oil prices are on the rise amid attacks on ships in the Red Sea. Prices are at around $80 a barrel, which is far lower than prices were when Russia invaded Ukraine. Oil futures had then jumped to more than $100 a barrel. The prices have remained low since June 2022.

PETA has given the Bible's Book of Genesis a "vegan" makeover, using ChatGPT to recreate the story and "send a can't-be-missed animal rights message filled with vegan teachings." In PETA's vegan version of the Bible, animals are referred to as "beings" rather than "beasts" or "creatures" and plants like hemp and bamboo are used for clothing instead of animal skins because "no one with any fashion or moral sense would wear animal skins in the 21st century." Volunteers serve vegan hot dogs at the PETA Congressional Veggie Dog Lunch outside the Longworth House Office Building July 21, 2021 in Washington, DC. (Win McNamee/Getty Images) "The Bible has long been used to justify all forms of oppression, so we've used ChatGPT to make it clear that a loving God would never endorse exploitation of or cruelty to animals," says PETA President Ingrid Newkirk. "It took God only six days to create the entire world, but we realized it would take us years to rewrite the whole Bible, which is why we've started with just the first book." PETA OFFERS TO PAY FOR OSCAR MAYER WIENERMOBILE'S STOLEN CATALYTIC CONVERTER IF IT BECOMES VEGAN MOBILE In Genesis Chapter 22, Abraham travels to the land of Moriah, where instead of slaughtering a ram to demonstrate his faith, he "befriends a gentle lamb to show his reverence and respect for God's creation."

Machine learning system design interviews are the most difficult to tackle of all technical interview questions. This book provides a reliable strategy and knowledge base for approaching a broad range of ML system design questions. It provides a step-by-step framework for tackling an ML system design question. It includes many real-world examples to illustrate the systematic approach, with detailed steps you can follow. This book is an essential resource for anyone interested in ML system design, whether they are beginners or experienced engineers.

The purpose of this book is to teach you modern linear algebra. But this is not about memorizing some key equations and slugging through abstract proofs; the purpose is to teach you how to think about matrices, vectors, and operations acting upon them. You will develop a geometric intuition for why linear algebra is the way it is. And you will understand how to implement linear algebra concepts in Python code, with a focus on applications in machine learning and data science. Many traditional linear algebra textbooks avoid numerical examples in the interest of generalizations, expect you to derive difficult proofs on your own, and teach myriad concepts that have little or no relevance to application or implementation in computers.

Learning a Programming Language is like learning any ordinary language, starting from the simple keywords, Data types, then you progress to design simple programs and complex applications. In this article, We will go through learning C from beginner level to the expert level, Reading books written by an industry expert to the creator of the C language. See also: The 9 Books Each Machine Learning Developer Must Read. This article is part of a series that address the implementation of Machine learning algorithms in C, throughout this series, We will be implementing basic Machine learning algorithms using C features. Being a beginner, you can start with this book.

This book, written by philosopher Nick Bostrom, examines the potential consequences of creating superintelligent AI, including the potential risks and benefits. Bostrom discusses the potential dangers of creating an AI that surpasses human intelligence, including the possibility that such an AI could develop goals that are incompatible with human values. He also discusses the steps we can take to ensure that the development of AI follows a positive trajectory, including the importance of designing AI systems with appropriate values and goals. In this book, physicist Max Tegmark explores the future of AI and its potential to transform humanity. He discusses the ways in which AI could potentially enhance or replace human abilities, and the implications of such a scenario for employment, education, and daily life.

Complex systems, such as life and languages, are governed by principles of evolution. The analogy and comparison between biology and linguistics\cite{alphafold2, RoseTTAFold, lang_virus, cell language, faculty1, language of gene, Protein linguistics, dictionary, Grammar of pro_dom, complexity, genomics_nlp, InterPro, language modeling, Protein language modeling} provide a computational foundation for characterizing and analyzing protein sequences, human corpora, and their evolution. However, no general mathematical formula has been proposed so far to illuminate the origin of quantitative hallmarks shared by life and language. Here we show several new statistical relationships shared by proteins and words, which inspire us to establish a general mechanism of evolution with explicit formulations that can incorporate both old and new characteristics. We found natural selection can be quantified via the entropic formulation by the principle of least effort to determine the sequence variation that survives in evolution. Besides, the origin of power law behavior and how changes in the environment stimulate the emergence of new proteins and words can also be explained via the introduction of function connection network. Our results demonstrate not only the correspondence between genetics and linguistics over their different hierarchies but also new fundamental physical properties for the evolution of complex adaptive systems. We anticipate our statistical tests can function as quantitative criteria to examine whether an evolution theory of sequence is consistent with the regularity of real data. In the meantime, their correspondence broadens the bridge to exchange existing knowledge, spurs new interpretations, and opens Pandora's box to release several potentially revolutionary challenges. For example, does linguistic arbitrariness conflict with the dogma that structure determines function?

Technology is changing the way we learn, work, and live. Many of the current jobs will become obsolete in another 5 -10 years with automation and 50% of the new jobs will be those which don't exist today. Understanding the language of the machines will be a standard that is as important as having English literacy or even a native-tongue literacy. And, the future offers a humongous number of opportunities for the people who know how to code. Cyber Square is a unique platform for students and teachers to get training on the latest technologies like Artificial Intelligence, Robotics, IoT, etc. Cyber Square curriculum and platform will help kids to develop their own projects using the latest technologies through schools, we are providing coding for schools.

You will learn four important things. The first one is how to implement games using gym and how to play games for relaxation and having fun. The second one is that you will learn how to preprocess data in reinforcement learning tasks such as in computer games. For practical machine learning applications, you will spend a great deal of time understanding and refining data, which affects the performance of an AI system a lot. The third one is the deep Q-learning algorithm.