A Joyful AI Research Journey🌳😊

ChatGPT, OpenAI These topics are central to the field of artificial intelligence and are particularly relevant to the pursuit of Artificial General Intelligence (AGI): Transfer Learning: Definition: Transfer learning is a machine learning method where a model developed for a specific task is reused as the starting point for a model on a second task. It's a popular approach in deep learning becau..

https://www.youtube.com/watch?v=SEkGLj0bwAU Definition and Essence of AI: AI is described as digital brains inside large computers. Ilya Sutskever emphasizes that all significant AI developments are based on this concept. Personal Motivation in AI: Sutskever shares his journey into AI, driven by a fascination with consciousness, curiosity about how intelligence works, and the potential impact of..

아는 게 많은 사람과 만나야 나도 배운다. 한 교수님의 강의를 듣고 더 넓은 세계로 감 :)

http://www.cs.emory.edu/~cheung/Courses/253/Syllabus/NetFlow/intro.html Saturated Edge: Definition: An edge is termed "saturated" if the flow through the edge is equal to the capacity of the edge. This is represented mathematically as: f(e)=c(e) Where: f(e) is the flow through edge e c(e) is the capacity of edge e From the provided example: The edges in the flow network are labeled with two numb..

https://www.quora.com/Are-the-majority-of-graph-algorithms-based-on-either-DFS-or-BFS Depth-First Search (DFS) - Left Diagram: Traversal Path: It starts at the root node (the top-most node) and traverses through the left subtree as deep as possible before backtracking to traverse the right subtree. Order of Node Exploration: The nodes are visited in the order 1, 2, 4, 6, 7, 5, 3. Characteristic:..

Textbooks "Algorithms" co-authored by Sanjoy Dasgupta from University of California at San Diego as well as Christos Papadimitriou and Umesh Vazirani from University of California at Berkeley. Additional recommended textbooks: Jon M. Kleinberg and Eva Tardos. Algorithm design. Addison-Wesley, 2006. Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. Introduction to Algo..

https://github.com/yjyuwisely/MovieSense_NLP

Positive Paragraph: The film was an exhilarating journey from beginning to end. Not only was the plot engaging, but the characters were also crafted with such depth and nuance that you couldn't help but root for them. The cinematography painted a visual tapestry that was nothing short of breathtaking, drawing the audience into each scene. The soundtrack, with its sublime melodies, further elevat..

내가 배우고 싶은 정말 좋은 '리더'를 만나는 것은 엄청난 '행운'인 것 같다. :) 논문을 지도해 줬던 의학통계학자인 Chriana가 떠오른다. 성장을 위해선 '좋은 환경'에서 '좋은 사람'과 '긍정적인 영향'을 서로 주고 받아야 한다고 느낀다. https://product.kyobobook.co.kr/detail/S000001614668 1%의 핵심인재는 Simple하다 | 김정래 - 교보문고1%의 핵심인재는 Simple하다 |product.kyobobook.co.kr존 맥스웰의 좋은 리더가 되기 위한 10가지 태도매 순간 진실 하라!믿음과 격려로 양육하라.성공할 수 있다는 믿음을 심어 주어라.타인의 말을 경청하라.인정하고 이해하라.더 크게 성장시켜라.홀로 설 수 있을 때까지 함께 항해하라.특별한 관..

In the expression ∣{d∈D:t∈d}∣ {}: denotes a set. d∈D: means "document d is in the set D" (i.e., d is one of the documents in the corpus D). t∈d means "term t is in document d" (i.e., the term t appears in the document d). : can be read as "such that". So, {d∈D:t∈d} describes the set of all documents d in the corpus D such that the term t appears in d. In plain English, it represents the set of a..

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https://www.aitimes.kr/news/articleView.html?idxno=27373 美 카네기 멜론大 오혜진 교수 연구팀, 인간과 생성AI·로봇 융합한 로봇 화가 '프리다' 개발 - 인 미국 카네기멜론대학교(Carnegie Mellon University. 이하, CMU)의 로봇 연구소(Robotics Institute) 오혜진 교수 연구팀이 인간과 생성 인공지능(Generative AI), 로봇을 융합해 \'프리다(FRIDA)\'를 개발했다.F... www.aitimes.kr

What I found most shocking about this research is that it closely resembles the 'Simulation Theory' – the idea proposed by some physicists that our reality might be a computer simulation, potentially designed by a higher power or advanced civilization. A higher power or advanced civilization ▶ Computer Simulation ▶ Human life In simpler terms: A higher power or advanced civilization might have c..

https://blog.gregbrockman.com Greg Brockman on Svbtle Greg Brockman | Svbtle blog.gregbrockman.com Greg Brockman의 블로그를 통해 2016년 OpenAI 창립 과정을 볼 수 있는데, 정말 신기한 점은 투자자도 중요하겠지만, 설립 멤버 중 2명인 핵심 AI 연구진(Ilya Sutskever, Andrej Karpathy)을 친구를 통해 소개받았다 (introduced by my friend)는 점이다. 성공에 있어서 '인맥'도 진짜 중요하다고 느꼈다.

To determine P(J∣F,I) the probability Jill Stein spoke the words 'freedom' and 'immigration', we'll apply Bayes' Theorem: P(J∣F,I) =P(J)×P(F∣J)×P(I∣J) / P(F,I) Where: P(J) is the prior probability (the overall likelihood of Jill Stein giving a speech). In our case, P(J)=0.5P(J)=0.5. P(F∣J) and P(I∣J) are the likelihoods. These represent the probabilities of Jill Stein saying the words 'freedom' ..