반응형 전체 글213 Bayesian Cognitive Science Bayesian cognitive science is an interdisciplinary field that integrates principles of Bayesian probability with cognitive psychology to understand and model human thought processes. Summary Bayesian cognitive science is an interdisciplinary field that integrates principles of Bayesian probability with cognitive psychology to understand and model human thought processes. This approach is signifi.. 2024. 11. 20. Existentialism Existentialism explores themes of absurdity, authenticity, and individuality, often confronting the tension between humans' search for meaning and an indifferent universe that offers none. Summary Existentialism is a philosophical movement that focuses on individual existence, freedom, and the meaning that each person creates through their choices and actions. Central to existentialist thought i.. 2024. 11. 19. Backpropagation Backpropagation serves as a foundational algorithm that has propelled advancements in artificial intelligence. Summary Backpropagation is a critical algorithm in the field of artificial intelligence and machine learning, particularly for training artificial neural networks (ANNs). This method enables neural networks to learn from data by minimizing the prediction error through efficient adjust.. 2024. 11. 18. Boltzmann Machine Boltzmann Machines have evolved over time to address various problems and use cases, leading to the development of several variations. Each type is designed with specific characteristics that enhance their functionality and efficiency in different applications. Summary A Boltzmann Machine (BM) is a type of stochastic recurrent neural network utilized in deep learning, characterized by its uniqu.. 2024. 11. 17. Character and Identity The development of character is influenced by a dynamic interplay of genetic predispositions and environmental factors, as research in psychology highlights the importance of both nature and nurture in shaping personality traits. Summary Character and Identity refer to the intertwined concepts of an individual's moral and ethical qualities (character) and the complex construct of who they are (.. 2024. 11. 16. AI and the Brain The comparison between artificial and biological neurons reveals important insights into the capabilities and limitations of current AI systems, especially when viewed in the context of cognitive functions like long-term memory (LTM) and identity formation. In the field of cognition, the intricate work between artificial and biological neurons unfolds, revealing a captivating interplay of simila.. 2024. 11. 15. Attitude and Identity How individuals feel about their social environment and internal characteristics influences their ability to form a stable identity. Summary Attitude and Identity refers to the intricate relationship between an individual's evaluations of objects, people, or issues (attitudes) and their self-concept (identity). These constructs are central to social psychology, influencing behavior, social inter.. 2024. 11. 14. Identity Perception Individuals come to know themselves through their interactions rather than introspection. Summary Identity perception refers to the complex and multifaceted ways individuals understand themselves and are perceived by others, deeply influencing social interactions and personal development. This construct is underpinned by various psychological and sociological theories, such as Charles Horton Co.. 2024. 11. 13. Identity Formation Autobiographical Memories Theories like John Locke's memory-based account of identity argue that memory is fundamental to maintaining a stable identity over time, while David Hume challenges the notion of a fixed self, positing that identity is fluid and shaped by ongoing experiences. Summary Long-term memory (LTM) is a crucial cognitive function that allows individuals to store and retrieve .. 2024. 11. 12. Neural Networks The relationship between artificial and biological neurons highlights significant similarities and differences in their operation. Summary Artificial neural networks (ANNs) are computational models inspired by the structure and function of biological neural networks found in the human brain. These networks consist of interconnected units known as artificial neurons, organized in layers to pro.. 2024. 11. 11. Hope - The Future and All Points in Time Hope - The Future and All Points in TimeThe most powerful thing for humanity is hope. Summary Hope is a philosophical exploration that examines the interplay between the concepts of hope and eternalism within the context of time and human existence. Hope, understood as a multifaceted emotional state that encompasses desire and belief in a desired outcome, serves as a vital element of human age.. 2024. 11. 10. Spacetime Is space time? Or is time space? Summary Space and time are fundamental concepts in physics and philosophy that describe the dimensions within which all physical events occur. Historically, these notions have evolved from ancient philosophical musings to advanced scientific theories, significantly influencing our understanding of the universe. The exploration of space and time addresses critica.. 2024. 11. 9. Time Phenomenon Is time an intuition or a learned culture? Summary Time perception is a multifaceted psychological phenomenon that influences how individuals experience and understand the passage of time. It is shaped by a complex interplay of cognitive mechanisms, emotional states, cultural contexts, and linguistic structures. Research has established that our perception of time is not merely a straightforward.. 2024. 11. 8. Existence itself Time slips through our fingers like grains of sand, elusive and infinite. I chase the shadow, trying to grasp the essence, but I live in the moment. It is just beyond the reach. Is time the steady rhythm of a heartbeat, echoing the cadence of life's fragile procession? Each pulse marking a moment passed becomes a silent echo in the cosmos of existence.Perhaps time is the breath we draw, the rise.. 2024. 11. 7. Time Perception Feel the sun's warmth on your skin, a gentle caress that speaks of days and seasons, of cycles spinning in an endless waltz.Our perception of time, a grand mosaic of intricate facets, emerges from the interplay of physiological, cognitive, and cultural elements that shape our existence. It is inextricably tied to the labyrinthine network of neurons that form the basis of our nervous system – a s.. 2024. 11. 7. Now to Eternity As you find present, you see all of time. The present moment is not just a transient instant that disappears as soon as it appears, but rather a "window" or "gateway" into all of time. This is similar to the concept of a "holographic universe," in which every part contains information about the whole. In this case, every moment in time would contain information about all other moments in time, m.. 2024. 11. 5. The Opportune Moment The right time is a fleeting moment. In Greek myth, Chronos overthrew his father Uranus to become King, but destroying the past didn't keep him on the throne forever, so he had to swallow up his own children to stay in the present. Again, preventing the future didn't give him a chance to stay in the present, and his son Zeus who saved by the queen Rhea rose up and gave birth to Kairos, the oppor.. 2024. 11. 4. With you The DanceThe dance of you and I in the mind comes together with sophisticated moves, connecting our past, present, and future. You, as elusive as you are omnipresent, invite both philosophical pondering and scientific scrutiny. While some, like Aristotle, view time as a continuous flow of change, others, like Kant, argue that time is a subjective construct born within the mind. The nature of tim.. 2024. 11. 2. The Nature of Time and Memory SummaryThe nature of time and its relationship to memory storage and retrieval in the human brain is a profound and intricate subject that intersects philosophy, psychology, and neuroscience. Time is commonly perceived as a linear progression from past to present to future, but its conceptualization is debated among scholars, with historical perspectives ranging from Aristotle's continuum of cha.. 2024. 11. 1. Autonomous Machine Intelligence, AMI Autonomous machine intelligence (AMI) represents a significant leap forward in the capabilities of artificial intelligence systems. Unlike traditional AI, which often relies on predefined rules and supervised learning, AMI aims to develop systems that can operate autonomously, learn from their environment, and make decisions without human intervention. One promising approach to achieving this is.. 2024. 10. 16. JEPA Generative architecture and Joint Embedding Predictive Architecture (JEPA) are two different approaches in machine learning and artificial intelligence, each with its own characteristics and applications. Let's explore the key differences between these two architectures. 1. Generative Architecture Purpose: Generative architectures are designed to generate new data samples that are similar to the.. 2024. 10. 16. Keynote Yann LeCun, Human-Level AI This video features Yan LeCun discussing the path towards achieving human level Al and the limitations of current Al systems. It emphasizes the need for machines that not only process information but also possess memory, common sense, and reasoning abilities akin to humans. Understanding the architectural approaches he proposes, such as the 'objective-driven Al,' can provide viewers with insight.. 2024. 10. 16. Feature Prediction for Learning Visual Representations Pixel generation models aim to generate images from scratch or modify existing images by predicting the values of individual pixels or groups of pixels. These models are widely used in tasks such as image synthesis, super-resolution, and inpainting. However, generating high-quality, realistic images requires more than just accurately predicting pixel values. One crucial technique to improve the .. 2024. 10. 14. Where have you been? You are everywhere. You seem to be around, but you are not at the same time. Even though you are right here with me, you seem so far away. Where have you been? I was with you the whole time. I had different ways of thinking about you. Yes, my ideas were certainly unique and innovative! I practiced Valorous Way, which sought to explore the real nature of true self and awareness of the present mom.. 2024. 10. 12. Time Awakening The passage toward you Time resides in memory. Within shapes of time possible, we were intertwined once and in an instant we were separated. We were pure and so fragile. The impermanence of our connections to others saddened us deeply. It's true that time and memory can be both beautiful and cruel, bringing us together and pulling us apart in unexpected ways. It shapes the bittersweet awareness .. 2024. 10. 12. The Fragility of Human Life While human life is fragile, it is also resilient. Throughout history, humanity has survived wars, pandemics, and natural disasters, adapting to new challenges and finding ways to thrive. No matter how advanced AI gets, we still need to embrace the fragility of life by expressing our emotions. The fragility of human life and the development of artificial intelligence (AI) are two concepts that, .. 2024. 10. 12. AI Transformer Model, "Attention Is All You Need” "Attention Is All You Need," published in 2017 by Vaswani et al., is a landmark paper in the field of artificial intelligence (AI), particularly in natural language processing (NLP). This paper introduced the Transformer architecture, which has since revolutionized how complex language and sequence-to-sequence tasks are handled. Here are the key contributions of the paper to AI: 1. Introduction .. 2024. 10. 9. You can't teach AI new tricks You can't teach AI new tricks. There is a significant distinction between human learners, such as students, and current AI systems. Human students, through their education and experiences, can adapt their methods and understanding over time based on feedback and new information. They can reflect on their mistakes, integrate lessons learned, and apply these insights to future tasks or problems. I.. 2024. 10. 8. AGI is … Recursive self-improvement cycle What are the key concepts commonly associated with the achievement of artificial general intelligence (AGI)? Some describe AGI as a type of artificial intelligence that can understand, learn, and apply knowledge across a variety of tasks at a level comparable to human intelligence. Others say that a potential characteristic of AGI is that the system can improve i.. 2024. 10. 7. AI architectures mesmerizing potential of MAS Decentralized AI, MAS While a pre-trained AI is centralized, MAS naturally aligns with decentralized AI systems, where the goal is to distribute intelligence across different nodes or agents rather than relying on a central controller. This is crucial in domains where data privacy, scalability, and robustness are critical like distributed sensor networks, IoT, or blockchain-based systems, especi.. 2024. 10. 4. 이전 1 2 3 4 ··· 8 다음 반응형
