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Leading the Digital Transformation at Mehmet Akif Ersoy University

16.10.2023 13:27:26AcademicOkunma Sayısı : 311
I am thrilled to announce that I have been appointed as the Digital Transformation Coordinator to spearhead the university's integration of Artificial Intelligence (AI) and digital technologies. With a shared vision of progress, innovation, and embracing the future, I am excited to embark on this transformative journey alongside you all....
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New App!! CLASSMATE AI

16.05.2023 22:34:06Artificial IntelligenceOkunma Sayısı : 367
CLASSMATE AI uses the latest advances in natural language processing to understand your questions and provide you with the most accurate and relevant answers. You can quickly find answers to your educational questions in every category and gain a deeper understanding of the subject matter. So unlock the power of AI with the help of CLASSMATE AI and get the answers you need today!...
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A Comparative Analysis of Generative Pre-trained Transformer (GPT) Models: GPT-2 vs GPT-3 vs GPT-4

23.03.2023 03:28:53Artificial IntelligenceOkunma Sayısı : 1014
Generative Pre-trained Transformers (GPT) are a class of natural language processing (NLP) models developed by OpenAI. These models are based on the Transformer architecture and have gained popularity due to their impressive performance on a variety of NLP tasks. The most notable GPT models are GPT-2, GPT-3, and GPT-4. In this article, we will delve into the key differences among these three models and provide comparative tables to better understand their architecture, performance, and applications....
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Solving the Traveling Salesman Problem with Genetic Algorithms in C#

23.03.2023 02:51:13CSharpOkunma Sayısı : 792
The Traveling Salesman Problem (TSP) is a well-known optimization problem in which the goal is to find the shortest possible route for a salesman who must visit a set of cities and return to the starting city after visiting each city exactly once. In this tutorial, we will implement a Genetic Algorithm (GA) to solve the TSP using C#. Genetic Algorithms are a type of evolutionary computation inspired by the process of natural selection, and they are particularly suitable for optimization problems like the TSP....
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AI: Golden Age or Doomsday?

23.03.2023 02:32:27Artificial IntelligenceOkunma Sayısı : 419
As artificial intelligence (AI) continues to develop at a rapid pace, the question of whether it will usher in a golden age of prosperity or lead to a catastrophic doomsday scenario remains a topic of heated debate. This article will explore the potential outcomes of widespread AI adoption, taking into account both the utopian and dystopian visions that have been put forth by experts in the field. Ultimately, the outcome may depend on how humanity chooses to utilize and control AI technologies....
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Generative AI Models and Asimov's Three Laws of Robotics

23.03.2023 02:12:33Artificial IntelligenceOkunma Sayısı : 373
The rapid advancements in artificial intelligence (AI) have led to the development of generative models, such as the GPT-4 architecture, which show remarkable potential in various fields, from art and music to language processing and communication. As AI continues to permeate our daily lives, it is crucial to ensure the technology remains ethical, safe, and beneficial for society. To this end, we explore the concept of integrating Isaac Asimov's Three Laws of Robotics into the core design principles of generative AI models. This combination could help create a safer, more responsible AI system, thereby mitigating potential risks and fostering a future where humans and AI coexist harmoniously....
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Demystifying Machine Learning in Trading: A Beginner's Guide (With Python Codes)

18.03.2023 21:12:51PythonOkunma Sayısı : 400
Welcome to this beginner's guide on using machine learning in trading! If you've been wanting to dive into the world of algorithmic trading but have been unsure of where to start, you've come to the right place. In this tutorial, we'll break down the basics of machine learning and explain how you can use it to enhance your trading strategy. No prior experience is necessary – we'll keep things friendly and straightforward....
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Implementing a Telegram Bot in Five Steps

18.03.2023 20:56:57PythonOkunma Sayısı : 391
Creating a custom Telegram bot can be a fun and rewarding experience. In this tutorial, we'll walk through the process of building a Telegram bot in five simple steps. By the end of this tutorial, you will have a functional bot that can interact with users and respond to messages....
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[New Book] Yapay Zekânın Değiştirdiği Dinamikler (Dynamics Altered by Artificial Intelligence)

20.11.2022 23:19:53AcademicOkunma Sayısı : 613
How has Artificial Intelligence swiftly transformed our world, and what innovations and perils await us in the future? Are we progressing towards a golden age, or rather, hurtling towards an apocalyptic demise precipitated by the dangers posed by artificial intelligence?...
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The Erasmus+ Adventure: Sharing Knowledge on Machine Learning at Oviedo University

8.11.2022 00:41:56AcademicOkunma Sayısı : 488
Teaching machine learning at Oviedo University in Spain under the Erasmus+ Teaching Mobility program was an unforgettable experience for me. Not only was I able to share my knowledge on this rapidly evolving field, but I also had the opportunity to learn from the highly engaged students and academic colleagues at the university....
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Political Correctness & Good Old Days

2.04.2022 17:57:26EnglishTimeOkunma Sayısı : 520
Inner beauty or outer appearance? If you ask this to a random guy, one hundred percent you will get this cliché answer. Of course, Inner Beauty matters. Does it really?...
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A Star With a Tail

28.03.2022 01:49:08EnglishTimeOkunma Sayısı : 583
It was believed that seeing a comet was a messenger of bad things. Today we already know that it was an absolutely ridiculous idea, but things were different that times......
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New Duty, Same Enthusiasm

23.01.2022 03:14:48AcademicOkunma Sayısı : 901
I still remember my very first class, which took place at SDU, the Faculty of Medicine in 2009, where I taught Basic Information Technologies. I walked into the classroom, nervous and excited, as 100 students stared back at me. Would even one of them miss this class? No, they wouldn't. Could 100 students fit into a computer lab? Yes, they could. I took a deep breath and told myself, "Nothing in my career will be more challenging than this. If I can teach this class today, I can teach any class." Of course, more difficult challenges did arise....
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